in part'ial fulfillment of the - mspace
TRANSCRIPT
PRESSUREHETER CREEP TESTTI{6 IN LABORÅTORY ICE
BRUCE H. KJARTANSON
A Thesi s
Presented to the University of Manitoba
in Part'ial Fulfillment of the
Requirements for the Degree of
Doctor of Ph'i I osophy i n Ci vi I Engi neeri ns
þli nni peg, l.lani toba
;¿ HÅY" t9B6
By
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rsBN Ø_3L5_34 Ø2Ø_7
PRESSUREMETER CREEP TESTING IN LABORATORY ICE
BRUCE H. KJARTANSON
A tllesis sr¡b¡nitted to tlrc Facult¡, ol- Craduate Studies oftlte U¡tiversity of Manitoba in partial [ulfillnle¡rt of the requirernerrts
of the degree of
DOCTOR OF PI-IILOSOPHY
o t986
Permissio¡r has bee¡t granted to the LIBRARY OF THE UNIVER-
SITY OF MANITOBA to le¡rd or sell copies of this thesis. to
the NATIONAL LIBRARY OF CANADA to microfilnr this
thesis and to lend or sell copies of the film, and UNIVERSITY
MICROFILMS to publish an abstract of this thesis.
The author reserves ofher publicatio¡r rights, and neither the
thesis nor extensive extracts from it may be printed or other-
wise reproduced without the author's written permissiolt.
BY
ABSTRACÏ
Si ng'l e stage and mul ti stage pressuremeter creep tests
have been conducted i n 'large , I aboratory-prepared samp'les of
polycrystal I ine ice at temperatures of -2"C. One purpose of the
experimenta'l program was to investigate the validity and applicability
of two creep theories, the wide'ly used simple power I aw theory
(strain-hardening formulation) and the recent'ly proposed modified
second-order fluid model. Another purpose was to investigate the
relationshjp between single stage and multistage pressuremeter creep
tests, in the same stress range, and thus to deduce the effect of
loading history on the creep parameters.
For both models, the creep information obtained from the
mul ti stage pressuremeter tests was found to compare very wel I wi th
the information derived from singìe stage pressuremeter creep tests'
both in terms of creep parameters and predicted'long-term behaviour.
The modified second-order fluid model, however, produced less scatter
in the stress exponent n derived from the multistage tests than the
simple power law model. This was attributed to the creep parameter
optimi zati on procedure used i n the anal ysi s for the modi fi ed
second-order fluÍd model.
Through analysis of the multistage tests, it appears that
the past history of app'lied stresses in a pressuremeter creep test
has little effect on the nature of the creep; rather, the amount
of accumulated strain appears to be the controì1ing factor.
For pressuremeter testing in ice or ice-rich frozen soils,
it should be assumed that a steady-state creep condition will eventualìy
(i )
prevail with continued straìning. Each stress increment in a
pressuremeter creep test shoul d be appl ied unti I at I east the
steady-state condition Ís approached, as evidenced by a b (time
exponent) of at least 0.90 or an exponentialìy increasing cavity radius
w'ith time. In order to aüain the steady-state condition in a reasonable
amount of time, a fjeld multistage pressuremeter creep test may be
started at any stress level; for exampìe, a multìstage test may be
started at a pressure of 1.50 MPa and have 0.25 MPa pressure increments.
H'ith careful'ly run cal i brations both before and after
each test, the 0Y0 Elastmeter-100 pressuremeter performed exceedingly
wel I in thi s experimentaì program. Thi s pressuremeter, or a
pressuremeter sim'ilar to this, with an electronjc rad'ius measuring
device is recommended for testing frozen soils olice. Ana'lysis of
the results, for the time being, should be conducted in terms of the
simple power law creep theory in its steady-state form. Because it
can represent both prìmary and secondary creep j n the same motion
equation and is valid for large strains, the modified second-order
fluid model is preferable to the sìmpìe power law model. Solutjons
to selected boundary-value prob'ìems, however, must be solved before
it can be used in practìce.
(ii)
ACKNOWLEDGEMEHTS
Thisstudylt,ascarriedoutunderthedirectsupervision
of Dr. D.H. Shields, Department of Cìvil Engineering' University of
Man.itoba. The author wishes to express his sjncere gratitude to Dr'
Shieldsforsuggestingth.istopicofresearch,andforhiscontjnuedquidance' encouragement and support throughout the investigation'
Theauthora]sowishestothankDr.L.Domaschuk,Dr.E.T.
Lajtai and Dr. G. Bauer who, aS members of the author's thesis examininq
committee, provìded useful ideas and constructive criticism' Durinq
h.is stay in canada, Dr. F. Baguelin provided many helpful comments
whi ch were greatl Y aPPrec'i ated '
Special thanks are due to Dr' C-S' Man who introduced
the author to the field of continuum mechan'ics and who contributed
s.ignifìcant'ly to the analytical components of this study in its early
stages.Inaddition,Mr.Q.-X.Sun.isacknow.ledgedforhisdevelopment
of the modified second-order fluid numerical analysis and many helpful
discussions with the author'
The author i s very grateful to Messrs. M. Lemieux, R'
Kenyon, R. Kwok, B. Turnbull and K. Leung for providing assistance
during the 'laboratory experimental proqram' The excel lent work of
J. Clark and s. Meyerhof .in the civil Engineering Machjne shop is
a'l so gratef ul I Y acknowl edqed '
Thefinanc.ialsupportprov.idedbytheNatura]Scierìces
and tng.ineerìng Research Counci ] , Canada Hortgaoe and Housinq
Corporation and the C'ivil Enqinee¡ing Department' through postoraduate
teaching assistantships are deepìy appreciated'
(.iii)
' Gratitude 'is extended to Inqrid Trestrail for her efficient
and error-free typing of the manuscript.
F'inaììy, last but not least, the author wishes to thank
his wife Cathy who persevered through the trials and tribulations
of the past four and a hal f years. Her support and encouraqement
made completìon of this thesis possible.
(iv)
TABLE OF COHTENTS
ABSTRACT
TABLE
LIST
LIST
LIST
OF TABLES
CTIAPTER 2 iiE Ë-Ëts['*Ëlli:*o'
2.12.2
44
67I
10
162.3
'-.Lc z - -Eouations "":z: 2".L i"
- st tonda rY creeP
- :u*7'.V'.1"ã Pt'ituty creep La',
2.2.2 l'lultiu*iui'iätË ót tttttt: Constitu-L'c'É
tive rquations '1" "';:'
ii:r'i,:i"i'i:îii':i:iit!;ii,;::::1l II,i,1, ^-2.3.I Derivatìon äï-tt't Strain-Hardening Power
uaw creej"Eiuuiiãn ior the Pressuremeter
Ëi:il:i' o;' ;i' P; ; ;;ä;iå;' ö'ååP
Þarameters " ':"""'Review of Publ i
'r'åå-t¡9 :':::T::'[^1i:'o
16
2T2.3.2
2.3.3 Revlew or ruu' ''iiË-niãh Frot.n Soi 1 sTest Resul ts 'in Ice-Kt uIr r I wrç"
and Ice2330
3;?;ir .:iTå'{.r ååiåå' iillåtïv å i ü' - p'"obr ems
Ëri' düilhïlii"i.:;'iîh:iit.,: : :
2,4.2 Ci rcu t ar-î,;i;i^ i:tll:l'i'ï:iå:l'Êì,.i : : : : : : : : : : : : : :
ACKT{OHLEDGEHENTS
0F c0t{TEnils
OF FIGURES
OF PHOTOGRAPHIC PLATES
CHAPTER 1 IF¡TRODUCTIOI{
1. 1 ScoPe of Thesi s
IäT.fäits-Tr'nl'?[Introducti on '.' ' ' 'å;iiiHlltlil .i
it,i?:å i,'iî,:::: o
ii ri :1 : : i r i'
ICE.RICH FROZEI{
Paqe
(i )
1i i i )
(v)
(ì x)
(xxi )
(xxl l U
3131323333
2.4
(v)
Paqe
352.4.5 SurnmarY
2.5 Background toÌ.1odel
2.6 Modified Second-Order
the llodified Second-0rder Fl uid
Fluid Model: Theoreti cal35
37
50
5052
5255
58
60636566
Consi derati ons
CHAPTER 3 TEST EQUIPI-{EhIT AND TEST PR0CEDURES
3.13.2
Introducti onTest Equ'iPment3.2.L Pressuremåü; Test'ing Tanks' Including
the SamPle Freezj!9-SYstem3.2.? óVo rl aitmeter 100- Pres-suremeters
3.2.2.L öãiiuration of the Cal Íper Arm
- I VnT Svstem- LVDT System3.2.2.2 Cal i brati on f or Membrane
S.+.t Single Stage Testsg.4.2 Multistage Tests
CHAPTER 4 PRESSUREI{ETER CREEP TEST RESULTS
4.1 Introduction4.2 ExPerimental
Pressuremeter4.3 ExPerimental
Thi ckness3.2.2.3 Membrane Resi stance Correcti on
Pressure
Ice SamPle PreParat'ionTest Procedures
Results of theCreeP Tests
Results of the
Single Stage
Mul ti stage
3.2.3 Data Acquisitìon SYstem
á'.r-.4 Temperature l'4easurement .
Z.Z.S Pressure Transducers and
Regu'lators3.2.6 Otíl l'ing and Samp'ling Equipment
CreepPower
Terms
676870747478
99
99
99
102102
104
106
127
r27
-t27
127
130131133
3.33.4
Creep TestsTest Resu'lts
and Pressuremeter Test SamPle
Homogenei tY4.6 Pressuremeter Test
Test RePeatabiìitY
CI{APTER5ANALYSIS0FTHEPRESSuREI,IETERCREEPTESTS
5. 1 Introduct'ioná'., ÀnalYsis of Pressuremeter
oi t'fl. Strai n-Hardeni ng 'TheorY5.2.L5.2.2
P;;å;;i;;-iñ. Pressuremeter creep restsÀ;;i;;ìs ót *,. Muttistage Pressuremeter'i;;'p-i;.is
Usi ns Strai n-Hardeni ns 'Power Law CreeP Theory ' :':''s".'à".'z.i- nnuivlii ói iaultistage rest # 10
s'.r'.r'.ã Ânãlvtii ót Multistase Test # 11
Pressuremeter4.4 Dìscussion of4.5 Ice ProPerties
Samp'le ReproducibiljtY and
Tests inLaw CreeP
(vi )
5.2.2.3 Analysi s of Mul t'istage Test # 12
5.2.2.4 Analysis of Muitistage Test # 13
5.2.3 Ana]ysis of the single stage PressuremeterCreep Tests Using Strain-Hardening'Power Law CreeP Model
5.2.4 Comparison of Èxperimental and PredictedPressuremeter Creep Curves Using theStrajn-Hardening, Power Law Creep Model
5.3 Analysis of Pressuremeler Creep Tgt.tt.in Terms
oi t-ft. Modified Second-Order Fluid Model
5.3.1 Processing the Pressuremeter Creep
Paqe
134135
136
140
143
143
143
148
148
150
151
t52
5.3.3.2
5.3.3.3
5.3.3.4
DISCUSSION OF RESULTS
TESTIT{G PROGRA}I II{ ICE
5.3.4 Comparison of Experimental Sing'le llugt,Presiuremeter Creep Curves and PredictedCreep Curves Using the Modified Second-
0rder Fluid Model
5.4 RelationshÍp Between the Strain-Harden'ing'power Law Ci:eep Model and the Modified second-
0rder Fluid Model
Tests5.3.2 AnalYs'is of the Single
meter Tests Using the
#10
Order Fluìd Model5.3.3 Ánalysis of the Multistage Pressuremeter
Creeþ Tests Usìng the Modified Second-
Order Fluid Model5.3.3.1 Analysi s of Mul ti stage Test
Stage Pressure-Modified Second-
Anal ysi s of Multistage Test#11Anal ysi s of Mult'istage Test#L2Anal ysi s of Hul t'i stage Test#13
OF THE PRESSURE}IETER CREEPCHAPTER 6
L52
154
259
259
260
6. 1 Rel ati onshi p Between Mul t'i stage and Si ng'l e
Stage Pressuremeter CreeP-TestsO.tlt Strain-Hardening, Power Law Creep
Model ; Rel ati oñshi p Between l'lul ti stageand Single Stage Creep ]t:!t..'.':""'
6.1.2 Modifieã Second-0rder Fluid Model;Relationship Between Multistage and
Single Stage CreeP Tests 265?676.1.3 SummarY
6.2
6.3
Compari son of the Creep Parametersio.y t.. Derived in This StudY WithReported in the LiteratureReäommended Pressuremeter Testi ng
and AnalYsis in Ice and lce-Rich6.3.1 Dri I 1 ing and SamPl ing
for Labora-Those
Techni ques
:::"'soiIs
268
27L271
(vii)
Paqe
6.3.2 RecommendedTechnì ques
Pressuremeter CreeP'in ice and Ice-Rich
Testi ngFrozen
Soi I6.3.3 AnalYsì s
Resul ts
C}IAPTER 7 CONCLUDING REI4ARKS
of Pressuremeter CreeP Test272
275
28r
7.I Pressuremeter Testing Equipment
7.2 AnaìYsis of Test Resultsi'.a Cäcommenoed Pressuremeter Creep Testing^. .
Techniques and Ana'lysis in Ice and lce-KlcnFrozen So'il s
7.4 Recornmendat'ions for Further Research
PRESSURE},IETER CREEP TEST DATA PLOTS
CAVITY EXPANSIOIiI RATE
FOR THE PRESSUREI'{ETER
/ RADIUS VERSUS TIHE PLOTS
CREEP TESTS
APPEAIDIX C COHPUTER PROGRAITS
i10Y0PL1OYORATEl-ADFoS1I-ADPLPRDPLS
QSUfl
281282
284286
288
293REFEREilCES
APPENDIX A
ÃPPENDIX B 340
373374379391395398400
(viii)
Fi qure
?_.r
LIST CIF FIGURES
Constant stress creep test;(a) creep curve variations(b) basjc creep curve(c) strain rate versus time
Linearized creep curves
Log-'log plot of the secondary creep 'law
Primary creep curves
Primary creep curves at discontinuous
Notation for interpretation of stage
Paqe
42
2.2
2.3
2.4
2.5
2.6
2.7
2.8
2.9
2.r0
2.TI
2.12
2.t3
2.14
3.1
3.2
3.3
3.4
49
49
82
83
84
85
stress change
I oaded
43
43
44
44
45
45
46
46
47
pressuremeter test
Determination of creep parameters from the resultsof a stage loaded pressusremeter test
Determination of creep parameters for a multistagetest in a varved silt-clay frozen soil
Single stage creep test in a varved silt-cìayfrozen soil
Stage loaded pressusremeter Test 214, with 15minutes per stage: creep parameter determination
Stage loaded pressuremeter Test 216, with 60minutes per s
Long-term pre
tage: creep parameter determination
ssuremeter creep tests
Fifteen minute creep curves in a 'log-log pìot andthe determination of creep parameters, Test 14
Long-term creep curves for Tests 7, 18 and 20
Schematic ìayout of pressuremeter testing system
0Y0 Elastmete
Geometry of c
r-100 ca'liper arm system
aliper arm-rod system
Membrane cross-sectional area calibration test,
47
48
S.S. Test 9
(ix)
Fi qure
3.5
3.6
3.7
3.8
3.9
3. 10
4.1
4.2
4.3
4.4
4.5
4.6
4.7
4.8
4.9
4.10
4.11
4.L2
5.1
5.2
Cavi tyStage 3
Cavi tyStage 4
Cavi tyStage 5
Change in membrane thickness with time calibra-tion Test, S.
Procedure forcreep tests
S. Test 9
data processing 0Y0 Elastmeter-100
l'lembrane reaction curves
Thermistor I inearizing circuit
Thermocouple and thermistor layout, S.S. Test 2
Temperature-depth-time plots for freezing ofsample for S.S. Test 2
Compiled pìot of cavity radius versus time curvesfor the sing'le stage tests
Cavi ty pressure vari at'ion wi th time; S. S. Test 4
Sample temperature variation with time; S.S. Test 4
Cavity expansion rate versus time; S.S. Test 4
Cav'ity pressure variation with time; MS Test 10
Sampìe temperature variation with time; MS Test 10
Cavity expans'ion rate versus time; MS Test 10'Stage 1
Cavi tyStage 2
expansion rate versus time; MS Test 10'
expansíon rate versus t'ime; MS Test 10'
expansion rate versus time; MS Test 10'
expansion rate. versus time; HS Test 10'
Cavity radius versus timeand S.S. Test 4;2.00 MPa
curves for S.S. Test 3
fromtest
(:)
Paqe
86
87
88
89
90
91
113
114
115
116
TL7
118
119
L20
LzL
122
L23
.L24
175
176
Creep parameter determinationmul ti stage pressuremeter creeP
Circumferential strain and ln
a simulated
MS Test 10; alì data
(x)
ri versus time,
Fi qure
5.3
5.4
5.5
5.6
5.7
5.8
5.9
5. 10
5. 11
5.L2
5.13
5. 14
5. 15
5. 16
5.L7
5. 18
5. 19
5.20
Test 10;
rn (fr)
Paqe
177
178
179
180
181
r82
183
184
185
186
187
188
189
190
191
t92
193
194
F and b versus pressure, MS
Circumferential strain andMS Test 10; Stage 1 omitted
F and b versus pressure, MS Test 10; Stage 1
al I data
versus time,
Circumferential strainMS Test 11; all data
F and b versus pressure, MS
Circumferential strain andMS Test 11, Stage 1 omitted
F and b versus pressure, MS
and ln {fr) versus time,
Test 11; all
ln (ft) u.rsrs
omi tted
omi tted
omi tted
data
time,
Test l1; Stage 1
Circumferential strainMS Test IZ; a1l data
F and b versus pressure, MS
CÍrcumferential strain andMS Test 12; Stage I omitted
F and b versus pressure, MS
and ln tfr) versus time,
Test
ln (L'ri
Test
12; a1l data
) versus time,
L2' Stage I
Ci rcumferenllS Test 13;
F and b ver
Ci rcumferenMS Test 13;
F and b verand 3 omitt
Ci rcumferenMS Test 13;
F and b ver6 omitted
tial strainal I data
Circumferential strain and lnsingle stage tests; all data
and ln tfi-) versus time,
Test 13; all data
ln (*) versus time,3 '1 omitted
Test 13; Stages 1, 2
ti al strai n and I n (l) versus time,Stages 1 to 6 rl omitted
sus pressure, l4S Test 13; Stages I to
(ft) uettus time,
sus pressure, MS
tial strain andStages L, 2 and
sus pressure, MS
ed
(xi )
Fi gure
5.2r
5.22
5.23
5.24
5.25
5.26
5.27
5.28
5.29
5. 30
5. 31
5.32
5. 33
5. 34
5. 3s
5. 36
5.37
F anddata
b versus pressure, single stage tests; all
Pa qe
195
196
197
versus time1,440 and
14,400 minutes used
F and b versus pressure, sing'le stage tests; databetween L,440 and 14,400 minutes used
time,and
1.25 MPa
F and b versus pressure, single stage tests; omittests at 1.00 and 1.25 MPa
Predicted versus experimental creep curves, strain-hardening power law creep model; 2.50 MPa
Predicted versus experimental creep curves, strain-hardening power law creep model; 2.25 l4Pa
Predicted versus experimental creep curves, strain'hardening power law creep model; 2.00 MPa
Predicted versus experimental creep curves, strain-hardening power ìaw creep model ', 1.7 5 MPa
Predicted versus experimental creep curves, strain-hardenÍng power law creep model; 1.50 MPa
Predicted versus experimental creep curves, strain-hardening power 'law creep model; 1.25 MPa
Predicted versus experimental creep curves, strain-hardening power ìaw creep model; 1.00 MPa
Circumferential strain and ln (*)sing'le stage tests; data betweehr
Ci rcumferenti al strai n and I n (*) versussi ng'le stage tests , omi t tests ' I at 1 .00
ln P versus t, ?, single stage testsro
S'imp'lified flow chart for program QSUN
198
199
200
20r
202
203
204
205
206
207
208
209
2r0
?IL
Best fit creep curve, modified second-order fluidmodel; S.S. Test 2
Best fit creep curve, modified second-order fluidmodel; S.S. Test 6 ..
Best fit creep curve, modified second-order fluidmodel; S.S. Test 3 ..
(xii)
Fi qure
5. 38
5. 39
5.40
5.41
5.42
5.43
5.44
à ¿.8
5.46
5 .47
5. 48
5.49
5. 50
5. 51
5.52
5. 53
Best fit creep curve, modjfied second-order fluidmodel; S.S. Test 4
Best fit creep curve, modified second-order fluidmodel; S.S. Test 7
Best fit creep curve, modified second-order fluidmodel; S.S. Test 5
Best fit creep curve, mod'ified second-order fluidmodel; S.S. Test 9
Best fit creep curve, mod'ified second-order fluidmodel; S.S. Test 8
Pa qe
2t2
213
214
215
2r6
Cavi tyation ote sts
expansion rate / radius versus time;f f irst 1,440 minutes of the s'ingle
compi 1 -stage
ln þ versus ln þ"'ro 2
7 20 minutes , si ng'le
ln b versus ln þ"'ro 2
Best fit creepmodel; MS Test
ln þ versusro
Best fit creepmodel; MS Test
ln þ versusro
Best fit creepmodel; MS Test
laln " versusF9
for times ofstage tests
, MS Test 10
120, 360 and
curve, modified second-order fluid10
?17
2t8
219
220
22t
222
223
224
225
226
l. ? , MS Test 11
curve, mod'ified second order fluid11
tr ?, MS Test 12
curvg, modified second order fluidL2
lr ? , MS Test 13
Best fit creep curve, modified second order fluidmodel; MS Test 13
Predicted versus experimental creep curves'modified second-order fluid model ' 2.50 l4Pa;
MS Test 1.0 parameters used for prediction
(xiii)
227
Fi qure
5. 54
5. 55
5. 56
5.57
5. 58
5. 59
5.60
5.61
5.62
5. 63
5. 64
5.65
Predicted versus experimental creep curves,modified second-order fluid model, 2.50 MPa;MS Test 11 parameters used for prediction
Predicted versus experimental creep curves,modified second-order fluid model, 2.50 MPa;MS Test 12 parameters used for prediction
Predicted versus experimental creep curves,modjfied second-order fluid model, 2.50 MPa;
l4S Test 1.3 parameters used for prediction
Predicted versus experimental creep curves,modified second-order fluid model , 2.25 l4Pa;MS Test 10 parameters used for prediction
Predicted versus experimental creep curves,modified second-order fluid model , 2.25 l(Pa;MS Test 11 parameters used for prediction
Predicted versus experimental creep curves,modified second-order fluid model , 2.25 l{Pa;MS Test 1.2 parameters used for prediction
Predicted versus experimental creep curves,modified second-order fluid model , 2.25 l'ïPa;MS Test 13 parameters used for prediction
Predicted versus experimental creep curves,modified second-order fluid model, 2.00 MPa (Test3); MS Test 10 parameters used for prediction
Predicted versus experimental creep curves,modified second-order fluid model, 2.00 MPa (Test3); mS Test 11 parameters used for pred'iction
Predicted versus experimental creep curves,modified second-order fluid model, 2.00 MPa (Test3); MS Test 12 parameters used for prediction
Predicted versus experimental creep curves,modified second-order fluid model, 2.00 MPa (Test3); mS Test 13 parameters used for prediction
Predicted versus experimental creep curves,modified second-order fluid model, 2.00 MPa (Testa); NS Test 10 parameters used for prediction
Predicted versus experimental creep curves,modified second-order fluid model, 2.00 MPa (Testa); MS Test 11 parameters used for prediction
Pa qe
228
229
230
23t
232
233
234
235
236
237
238
239
5.66
(xiv)
240
Fi qure
5.67
5.68
5. 69
5.70
5.7 7
5.7 2
5.7 3
5.7 4
5.7 5
5.7 6
5.77
5.78
Predicted versus experimental creep curves'modified second-order flu'id model, 2.00 MPa (Test4); MS Test 12 parameters used for pred'iction
Predicted versus experimental creep curves'modified second-order fluid model, 2.00 MPa (Test4); NS Test 12 parameters used for prediction
Predicted versus experimental creep curves'modified second-order fluid model, 1.75 MPa; MS
Test 10 parameters used for prediction
Predicted versus experimental creep curves'modjfied second-order fluid model , L.7 5 MPa; MS
Test 11 parameters used for prediction
Predicted versus experimental creep curves'modified second-order fluid model, 1.75 MPa; MS
Test 12 parameters used for prediction
Predicted versus experimental creep curves'modified second-order fluid model ,1.75 l4Pa; llSTest 13 parameters used for prediction
Predicted versus experimental creep curves'modified second-order fluid model, 1.50 MPa; MS
Test 10 parameters used for prediction
Predicted versus experimental creep curves'modified second-order fluid model, 1.50 MPa; MS
Test 11 parameters used for prediction
Predicted versus experimental creep curves'modified second-order fluid model, 1.50 MPa; MS
Test 12 parameters used for prediction
Predicted versus experimental creep curves'modified second-order fluid model, 1.50 IlPa; MS
Test 13 parameters used for prediction
Predicted versus experimental creep curves'modified second-order fluid model , 1.25 l''lPa; MS
Test 10 parameters used for prediction
Predicted versus experimental creep curves'mod'ified second-order fluid model , L-25 MPa; MS
Test 11 parameters used for prediction
Predicted versus experimental creep curves'modified second-order fluid model , L.25 MPa; MS
Test 12 parameters used for prediction
Paqe
24r
242
243
244
245
246
247
2ß
249
250
25r
252
5.79
(xv)
253
Fi qure
5.80
Paqe
254
?.55
256
257
258
279
280
294
295
296
297
298
299
300
30i
302
303
304
5.8 i
5.82
5.83
5.84
6.1
6.2
4.1
4.2
4.3
4.4
A.5
A.6
4.7
4.8
4.9
A.10
4.11
Predi ctemod'i f i edTest 12
Pred'icted versus experimental creep curves,modified second-order fluid model , 1.25 MPa; MS
Test 13 parameters used for prediction
Predicted versus experimental creep curves,modified second-order fluid model, 1.00 MPa; MS
Test 10 parameters used for pred'iction
Predicted versus experimental creep curves,modifíed second-order fluid model, 1.00 MPa; MS
Test 11 parameters used for prediction
Predicted versus experimental creep curves,modified second-order fluid model, 1.00 t4Pa; MS
Test 13 parameters used for prediction
Comparison of predictions, strain-hardening powerlaw creep model ; 2.00 MPa
Comparison of predictions,'law creep model; 1.25 MPa
strai n-hardeni ng power
Cavity pressure variation with time; S.S. Test 2
Samp'le temperature variation with time: S.S.Test 2
Cavi ty
Cavi ty
Sampl eTest 6
Cavi ty
Cavi ty
Sampì eTest 3
Cavi ty
Cavi ty
Sampì eTest 7
d versus experimentaì creep curves,second-order fluid model, 1.00 MPa; MS
parameters used for prediction
expansion rate versus time; S.S. Test 2
pressure variation with time; S.S. Test 6
temperature variation with time: S.S.
expansion rate versus t'ime; S.S. Test 6
pressure variation wÍth time; S.S. Test 3
temperature variation with time: S.S.
expansion rate versus time; S.S. Test 3
pressure variation wÍth time; S.S. Test 7
temperature variation with time: S.S.'
(xvi )
Fi gu re
A.I2 Cavity expansion rate versus time; S.S. Test 7
4.13 Cavity pressure variation wÍth time; S.S. Test 5
4.14 Sample temperature variation wjth time: S.S.Test 5
4.15 Cavity e
4.16 Cavity p
A.L7 Sampl e tTest 9
4.18 Cavi ty e
A. 19 Cav'i ty p
4.20 Sample tTest I
Pa qe
305
306
307
xpansion rate versus time; S.S. Test 5
ressure variation with time; S.S. Test 9
emperature variation with time: S.S.
xpansion rate versus time; S.S. Test 9
ressure variation with time; S.S. Test 8
emperature variation with time: S.S.
308
309
310
311
3t2
3i3
A.zL Cavity expansion rate versus time; S.S. Test 8 314
A.22 Cav'ity pressure variation with time; MS Test 11 315
A.23 Sample temperature variation with time: MS
Test 11
4.24 Cavity exStage 1
4.25 Cavity exStage 2
pansion rate versus time; MS Test 11,
pansion rate versus time; MS Test 11,
A.26 Cavity expansion rate versus time; MS Test 11,Stage 3
4.27 Cav'ity exStage 4
pansion rate versus time; MS Test 11,
4.28 Cavity expansion rate versus time; MS Test 11,Stage 5
A.29 Cavity pressure variation with time; MS Test 12 322
4.30 Sampìe temperature variation with time; l4S Test 12 323
A.3i Cavity expansion rate versus time; ltlS Test 12,
316
317
318
319
320
32L
Stage I
(xvi i )
324
Fi gure
4.32
A. 33
A. 34
A. 35
A. 36
4.37
A. 38
A. 39
A.40
A. 41
4.42
A. 43
A. 44
A. 45
A. 46
8.1
8.2
8.3
Cavi tyStage
Cavity expansion rate versus t'ime; MS Test 12'Stage 2
Cavity expansion rate versus time; MS Test 12'Stage 3
Cavity expansion rate versus tjme; MS Test 12'Stage 4
Cavity pressure variation with time; t'îS Test 13
Sample temperature variation with tìme; MS Test 13
Cavìty expansion rate versus time; MS Test 13'Stage 1
Cavity expansion rate versus time; MS Test 13'Stage 2
Cavi tyStage 3
expansion rate versus time; MS Test 13'
Cavity expansion rate versus time; MS Test 13'Stage 4
Cavity expansion rate versus time; MS Test 13'Stage 5
Cavity expansion rate versus time; I'lS Test 13'Stage 6
Cavìty expansion rate versus time; MS Test 13'Stage 7
Cavity expansion rate versus time; MS Test 13'Stage 8
Cavity expansion rate versus time; MS Test 13'Stage 9
expansion rate versus time; MS Test 13,
328
329
Pa oe
325
326
327
330
331
332
333
334
335
336
337
338
339
341
342
343
10
Cavity expansion rate / radius versus time; S.S.Test 2
Cavity expansion rate / radius versus time; S.S.Test 6
Cavìty expansion rate / radius versus time; S.S.Test 4
(xv]'r'r J
Fi qure
8.4
8.5
8.6
8.7
8.8
8.9
B. 10
B. i1
B.t2
B. 13
8.14
8.15
B. 16
B.L7
B. 18
8.19
B. 20
Cavi tyTest 3
Cavi tyTest 7
Cavi tyTest 5
Cavi tyTest 9
Cavi tyTest 8
expansion rate / radius versus tjme; S.S.
expanst'on rate / radius versus time; S.S.
expansion rate / radius versus time; S.S.
expansion rate / radius versus time; S.S.
expansion rate / radius versus time; S.S.
Paqe
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
Cavity expansionTest 10, Stage I
Cavity expansionTest 10, Stage 2
Cavity expansionTest 10, Stage 3
Cavity expansionTest 10, Stage 4
Cavity expansionTest 10, Stage 5
Cav'ity expansionTest 11, Stage 1
Cavity expansionTest 11, Stage 2
Cavity expansionTest 11, Stage 3
Cavity expansionTest 11, Stage 4
Cavity expansÍonTest 11, Stage 5
Cavi'ty expansi onTest 12, Stage I
Cavity expansÍonTest 12, Stage 2
rate / radius versus time; MS
rate / radius versus time; MS
rate / radius versus time; MS
rate / radius versus time; MS
rate / radius versus time; l4S
rate / radius versus time; þlS
rate / radius versus time; HS
rate / radius versus time; MS
rate / radius versus time; MS
rate / radius versus time; MS
rate / radius versus time; MS
rate / radius versus time; MS
(xix)
Fi qure
B.2T
8.22
8.23
B.?.4
8.25
8.26
8.27
8.28
8.29
B. 30
B. 31
8.32
Cavity expansionTest 12, Stage 3
Cavity expansionTest 12, Stage 4
Cavíty expansionTest 13, Stage 1.
Cavity expansionTest 13, Stage 2
Cavity expansionTest 13, Stage 3
Cavity expansionTest 13, Stage 4
Cavity expansionTest 13, Stage 5
Cavity expansionTest 13, Stage 6
Cavity expansionTest 13, Stage 7
Cavity expansionTest 13, Stage ICavity expansionTest 13, Stage 9
Cav'i ty expansi onTest 13, Stage 10
rate / radius versus time; MS
rale / radius versus time; I'lS
rate / radius versus tÍme; MS
rate / radius versus time; MS
rate / radius versus time; MS
rate / radius versus time; MS
rate / radius versus time; l'1S
rate / radius versus time; MS
rate / radius versus time; MS
rate / radius versus time; MS
rate / radius versus time; MS
rate / radius versus time; MS
Paqe
361
362
363
364
36s
366
367
368
369
370
37r
372
(xx)
Table
2.r
2.2
3.1
3.2
4.1
4.2
4.3
4.4
4.5
4.6
5.1
5.2
5.3
5.4
5.5
5.6
LIST OF TABLES
Results of Pressuremeter Creep Tests, Inuvik, 1978
Results of Pressuremeter Creep Tests in Sea Ice
Chemical Properties of City of l,linnipeg Tap l'laterand ArctÍc lce Co. L
Results of Change inMultistage Test 10
td. Ice Crystals
l4embrane Thickness Test for
Paqe
40
4t
80
81
107
108
109
110
111
712
158
159
160
161
162
t64
165
Sunrmary of Pressuremeter
SuÍrnary of Pressuremeter
Creep Tests
Calibration Constants forSingìe Stage Tests
Sunrnary of Pressuremeter Calibration Constants forMul ti stage Tests
Minimum Cavity Expansion Rates for the Síng'le Stageand the Multistage Pressuremeter Creep Tests
Degree of Cracking in Pressuremeter Test lceSpec i men s
Density of lce Core Samp'les
Creep Parameter Determination, Strain-HardeningPower Law Creep l4odel; Multistage Test 10
Creep Parameter Determination, StraÍn-HardeningPower Law Creep Hodel; Multistage Test 11 ......Creep Parameter Determination, Strain-HardeningPower Law Creep Model; Multistage Test 12
Creep Parameter Determ'ination, Strain-HardeningPower Law Creep Model ; Mul ti stage Test 13
Creep Parameter Determination, Strain-HardeningPower Law Creep l-lodel; Single Stage Tests
Best Fit Creep Parameters .for the Multistage TestsUs'ing the Strain-Hardening Power Law CreepHodel
l4inimum þ ,0" the Sing'le Stage Testsl"6
(xxi )
5.7
Tabl e
5.8
5.9
5. 10
5. 11
5.12
t67
168
Second-
Pa qe
166Creep Parameter Determination, Modified0rder Fluid Model; Single Stage Tests
and 720 l4inutes for the Sìng'leI at 120. 360ro stage Íests
I'li nimum 3 Vul ues for Each Stage of Mul ti stageroTest 10
Mi nimum
Test 11
Minimum
Test 12
Minimum
Test 13
rot?
rot:
rota
Values for Each Stage of Multistage
Values for Each Stage of Multistage
Values for Each Stage of Multistage
169
170
T7T
172
173
174
278
5. 13
5. 14
5. 15
Best Fit Creep Parameters for the Multistage TestsUsing the Modified Second-Order Fluid Model
Maximum Error Between Predicted Creep Curves Usingthe Modified Second-Order Fluid Model and txperi-mental Singìe Stage Creep Curves
Compari son of Creep Exponents; Strain-Hardening,Power Law Creep Model and Modified Second-Order
5. 16
6.1
Fl uid Model
Total Accumulated StrainStage of the Hultistage
-rln -ri at the
TestsEnd of Each
(xxi i )
Pl ate
3.1
3.2
3.3
3.4
3.5
3.6
3.7
3.8
3.9
3. 10
3. 11
3.r2
3. 13
4.1
4.2
4.3
LIST OF PHOTOGRÂPHIC PLATES
Condenser for sampìe freezing
0Y0 Elastmeter-100 pressuremeter components
Calibrating the caìiper arm - LVDT system
Pa qe
92
98
r25
L25
L26
92
93
93Pressuremeter cal ibration tubes
Inflating the pressuremeter inmembrane thickness cal ibration
tube#2fora
barrel; 104 mm diameter
barrel ; 77 nn diameter
with the 104 rnm diameter
th thebarrel
104 mm diameter
nrning equipment
and ice crystal tamper for
94
94Compressed dry nitrogen supply and pressureregulators for the
Modified CRREL core
Modified CRREL core
pressuremeters
modi fCoring Íce samplesmodified CRREL corCRREL core barrel
95
95
96
96
97
97
Ice sample cored wimodified CRREL core
Ice core sample triPorewater reservoirice sample making
Insul ationduring a p
Surface of
View intoTest # 7
of the steel tankresssuremeter test
and pressuremeter
the sample for Test # 7
the deformed pressuremeter cavity of
Radial crack development in Test # 10
(xx'r'r 1 ,l
CHAPTER 1-
THTRODUCTIOH
Major projects i n arcti c Canada and Al aska , pri nci paì I y
associated with the expìoration and production of energy resources,
have required that geotechnical eng'ineers des'iqn and construct larqe
structures on sites underlain by permafrost. In addition, man.y offshore
structures either bear on or are affected by sea ice and some structures
are actually made of ice.
Much of the permafrost in the north is ice-rjch (i.e. frozen
soils in which a siqnificant port'ion of the soil particles are
completely separated from each other by ice). Nixon (1978), Morgenstern
et al. (1980) and t,{eaver and Morqenstern (1981a), among others, have
concluded that the creep behaviour of ice constitutes an upper bound
to the creep of ice-rich frozen soil; that is to say that ice-rich
frozen soil , li ke ice, wil I creep continuously under load. This
sim'ilarÍty between ice-rich frozen soil and ice, pìus the lack of
a suffi cj ent data base, I ed Sego ( 1980 ) to carry out an extensi ve
testing program on warm ice (temperatures hiqher than '2"C) under
'low app'lied pressures (less than 1 Npa).
Sego, recognizinq the need to develop in situ test techniques
for frozen soils, conducted a series of laboratory punch indentat'ion
experiments in sampìes of polycrystal I ine ice. He was able to
successfu'lìy predict the penetratìon of the punch (commonly referred
to as a stati c cone i n geotechni ca'l practi ce ) , usi ng spheri cal cavi t.y
expansion theory. The deformation properties of permafrost may be
tested in situ using the pressuremeter as wel I ; in th'i s case
2
cylindrical cavity expansion theory would apply.
Ladanyi may be credited as having introduced pressuremeter
testing to ice and permafrost. Some advantages of conductinq
pressuremeter tests in situ aS compared to, SâY, testing sampìes in
the laboratory are as follows:
1) The problems associated wjth obta'ining and transportino
thermally and mechan'ica1ìy undisturbed samples to the lab'
for creep testing, are avoided.
Z) A large volume of material is tested in situ. This is
important in ice-rich frozen soils with segregated ice or
discrete ice veins or in sea ice, which usual ìy has very
large crystaì sizes.
3) The frozen so'il or ice is tested in its natural environment'
under the prevailing in situ stresses.
4) Data is collected and analyzed, ât least ín a preliminary
sense, right at the site. Therefore, the geotechnical engineer
can assess whether or not he has sufficient data for desiqn
before'leaving the site. The need to return to the site
to augment the originaì investiqation is greatly reduced.
This thesis represents an extension to our knowledqe of
the use of the pressuremeter to determine the creep properties of
warm ice or ice-rich frozen soils.
1.1 SCOPE OF THESIS
Thi s thesi s rePresents an
the va1 i d'i ty of two theori es whi ch
creep deformation of ice and ice-rich
experimentaì i nvesti gat'ion i nto
have been proposed to model the
frozen soils.
3
The methodo'logy which has been adopted is to carry out
mul ti stage pressuremeter tests, determi ne the appropri ate creep
parameters from these tests, and then see 'if these parameters can
be used to predict the behaviour of sing'le stage pressuremeter tests.
Us'ing this methodology, an attempt is made to deduce the effect of
loading history on creep parameters. As well, the sinqle stage
pressuremeter tests can be considered to represent simp'le foundation
unjts (such as footings or piles) which carry a qiven (constant) 'load;
here the idea is to see how well multistage pressuremeter test results
will predict the longer term (up to 7L, weeks) behaviour of
'foundatjons'. Thirdly, it is of interest to learn if it is feasible
to carry out very long (multi-week) pressuremeter tests with to-day's
(commercial'ly avai I able) equipment.
Ladanyi appears to have been the first to attempt to interpret
pressuremeter creep tests, in Ladanyi's case using a simp'le power
law creep theory (Ladany'i and Johnston ' 1973). Doubts concerning
the theoretical soundness of the simple power law creep theory, and
prob'lems associated with data reduction using this theory, led Han
to deve'lop a new model, the modÍfied second-order fluid model (l4an
et al., 1985).
This thesis includes a discussion of the val idity and
appìicability of both models to engÍneering anal.ysis and design in
fce and ice-rich soil conditions
THE T{EASUREHEI{T OF
Å¡{0
CTIAPTER 2
CREEP PROPERTIES OF ICE.RICH FROZEH SOILS
ICE WITH T}IE PRESSUREHETER
2.I INTRODUCTIOI{
In this chapter, the essentials of the simple power law
creep theory, for both secondary and primary creep, are presented.
The appì Ícatjon of this theory to the pressuremeter, using a
strain-hardening formulation of the simp'le power law creep theory
is then developed. A review of published pressuremeter creep studies
in ice-rich frozen soil and ice is then made. Next, the use of the
pressuremeter test to give creep parameters which may be used to predict
creep settl ements of a number of di fferent foundati on types i sillustrated. Fina'l'ly, the essentials of the modifjed second-order
fiuid model are presented.
2.2 BACKGROUND TO THE POHER UIH CREEP THEORY
As stated by Ladanyi (L972), two approaches may be taken
to the analysis of time-dependent creep probìems: micromechanjstic
and macroanalytìcal. In the micromechanistic approach, the observed
phenomena of creep are described in terms of establ ished concepts
of physics. Thermodynamic energy concepts and motion mechanisms on
the atomic scale, such as rate process theory, di slocation theory
and grain boundary sliding are utilized. In the macroanalytical
approach , empi ri cal I aws are used to descri be thg time-dependent
deformations of engineering structures. These laws basical'ly represent
5
an extension of the theory of plasticity to include time and temperature
effects. The ideal case would be to develop a macroanalytical '
engineering creep theory whjch satisfied the laws of physics'
Todate,nosuchjdea]theoryexists.Moreover,thesolution
of boundary vaìue problems, such as the penetrat'ion of a deeply imbedded
circular punch (end bearìng pi'le) or a 1ateral1y loaded pi'le' in terms
of a theory of this type, would be extremely d.ifficult indeed. This
led Ladany.i (1g72) to the conclusion that a macroanalytica'1, engineerìng
theory of creep of frozen soils should be deveìoped for solvìnq spec'ific
sojl mechanics probìems, such as the calculation of a tÍme-dependent
stress or dispìacement field in a foundatjon medium' The theory should
have re'latjvely simpl e mathemati cal expressions with a smal I number
of experimenta'l parameters, and should be able to be applied to
multiaxial states of stress easìly. Moreover, the parameters should
be able to be derived from'laboratory and/or field tests and utilized
in the specific boundary value problem. such a theory, called the
power 'law theory (Norton, LgZg) has been used successfully to describe
the creep of high temperature metals'
Ladanyi (Ig72) has taken the power law theory, as developed
in Hult (1966) and odqvist (1966), and presented a macroanalytical
engineerìng creep theory to be used for frozen soils' Thjs theory'
besides being extended to the pressuremeter problem (Ladanyi and
Johnston, 1973), has been used to model' for example:
1) the cone penetrat'ion test in f rozen so'il s (Ladanyi ' 1976;
LadanYi , 1982a; Ladany'i ' 1985a)
grouted rod anchors (Johnston and Ladanyi , 1972)
deep end bearing piìes and plate anchors in frozen so'iIs2)
3)
6
(Ladanyi and Johnston, L974; Ladanyi and Paquin, 1978)
4) strip footings in frozen soils (Ladany'i' 1975)'
The theory is still w.idely used today. Before actua'l1y describing
the solut.ion for the pressuremeter problem, the power law theory itself
i s di scussed.
As a startìng poìnt, the constitut'ive equations are first
presented for a uni axi al state of stress. General'izat'ion to a
mul ti axi al state of stress fol I ows '
2.2.L Uniaxial state of stress: constitutive Equations
Most of the early work in the creep of metals was done with
uniaxjal tests, either in tension or compression' The first laws'
therefore, were formulated in terms of unÍax'ial loading conditions.
The type of creep curve shown in Fig. 2.Ib, obtained by
step loading under uniaxjal stress conditions and at a constant
temperature, is common to many materials, includ'ing frozen soils and
.ice. The corresponding creep rates åt"ot Ë, versus time are shown 'in
Fig. 2.Lc. Three periods of time are observed, during whìch the creep
rate is decreas'ing (l), remaining essent'iaì1y constant (II) and then
increasing (lII). These are common'ly called perìods of primary'
secondary and tertiary creep respect'iveìy. If the designer is majnly
i nterested i n the 'long-term creep behavi our , and not So 'i nterested
in the shorter term, primary creep portion, then a "secondary creep"
type of anaìysis may be undertaken. 0n the other hand, if one is
interested in the shorter term, primary creep part of the deformatjon
w.ith the notion of extrapolating to ìonger time periods (for instance,
extrapo'l at.i nq short-term pressuremeter test resul ts ) , then primary
creep constitutive relations may be
both of these conditions and they are
7
used. Hul t ( 1966) has outl i ned
presented as fo'l I ows .
2.2.1.1 Secondary CreeP Law
Figure 2.2 shows a set of creep curves obtained from a series
of tests at the same temperature, but I oaded to a di fferent
unÍaxial stress level 01 1 oZ ( o3 ( o4. In these creep curves, the
amount of strain developed during the secondary creep period'is large
compared with the straìn developed during the primary period' Hult
(1966) has proposed that these creep curves be approximated by straight
lines, and that the creep law should describe these straight lines
rather than the actual creep curves. Thi s approximation seems
acceptabìe for most practical long-term problems. In this method'
the strain in the secondary period is given by:
e = e('i) +,(c)
where: e =total strain
.(i) = pseudo-instantaneous strain (see Fig. 2.2)
. (c ) = creep stra'in .
The pseudo-instantaneous strain i s generaì ìy thought to
be composed of an elastic and a plastic part (Hu1t,1966):
,(i) = ,(ie) + r(iP) ,
wheret ,(i.) = gTf) where E(T) is a fictitious temperature
dependent Young's modul us
,(in)=.rt*fulk(T)in which ok pìays the role
of a temperature dependent deformation
modul us and e k i s an arbi trari 1y smal I
(2.1)
I
standard stra'in uni t i ntroduced for
conveni ence i n cal cul ati ng and p'l otti ng '
The "T" implies temperature dependence'
The creep 1aw, whjch relates the steady-state creep rate
to stress, takes the form of a simp'le power expression and has commonly
been cal led Norton's Law (Norton , 1929) ' Here:
,-dr-. ¡ o rn(T) Q.Z)E = ãî - ec Loc(T) r
where: oc (T) = creep proof stress , whi ch resul ts 'in a
constant creep rate equal to óa
Ë^ = arb.itrary standard strain rate selectedc
to faci I itate cal cul ations and p1 otti ng
n (T) = creep exponent.
Again, "T" impl'ies temperature dependence.
For any given temperature, the numerical values of oç(T) and n(T)
(Ëc is assumed) are obta'ined from a log-'log plot of the experimental
stress-stra'in rate curve (Fig. 2.3). The constitut'ive equation for
the material, in 'its integrated form, is therefore:
, =Ë*,r (ä)¡aËc (f;)n t. (2.3)
It should be noted at this point that the instantaneous elastic and
plastic strain components are very difficult to determine accurate'ly
under test conditions.
2.2.1.2 Primary Creep l-aw
The appearance of the creep curves shown in Fig. 2.4 is
characteri sti c of most materi al s
is an irnmedjate straìn eq followed
As with the secondary creep 1aw,
of an elastic and a Plastic Part.
Ijn the primary creep stage. There
by the development of creep strain.
the jmmediate strain is comprìsed
termed a time-hardening creeP
i s determi ned bY the Preva'lent
The creep strain j s a function of stress, time and
temperature; i.e. ,(c) = f (o, t, T). In order to arrive at an
incremental strain theory, the time derjvatjve of the abovefunct'ion
is formed. Th'is may be done in two ways:
1) *i,t, = e(o, t, T); this is1aw, the strain rate for which
stress and t'ime
z\ q:(t) - h (o, .(c), T); this is termed a strajn-hardenÍngLt dt
creep law, the strain rate for which is determined by the
preva'lent stress and creep strain.
The two I aws are equi va] ent for a qi ven stress and
temperature. If the stress Ís changed during the test, as in a staqe
loaded creep test, each law wil I give a different prediction. As
Fig. 2.5 jllustrates, the strain-time curves at constant stress levels
o1 and 02 are indicated O, .[t) unA .tt) respectively. If the stress
ìs changed from o1 to o2 at time t1, the time-hardening law will predict
curve 0AB, whereas the strain-hardening law will predict curve OAc.
Experiments with this kind of stress history yield results whjch agree
very close'ly with the strain-hardening theory, so a creep law in terms
of strain-hardening is preferred (Hult, 1966).
The strain-hardening creep law proposed by Hult (1966), and
adopted by Ladanyi and Johnston (1973) for mode'l'ling the pressuremeter
probìem is as follows:
10
,(c)=4oâ¿b,b(l (2'4)
where: K, a and b are temperature dependent material constants'
Differentiation with respect to time and el'imjnation of the time yields
the fol 'lowi ng:
l¡ r'(c)11+s = +Integration of the above with
.(c) = t$l17(1+u)
t A rllìt-,o¡
respect to time gives
t9-tn/ (l+u) ,1/(1+u)'om'
(2.5)
the creep strain:
(2.6)
At this point, for consistency w'ith Ladanyi's more recent papers on
creep of frozen soils as measured wjth the pressuremeter (and used
by Ladanyi and Johnston, 1978):
creep exPonent
tr= n creeP exPonent
r = f,- creeP Proof strain rate
The constants f rom the above creep I aw are determ'ined f rom the s'lopes
and intercepts of loq-log plots. This is discussed in more detail
in Section 2.3.
2.2.?
For engineering applications, jt is important to generalize
the creep const'itutive equations to three dimensions' The relations
between the tensor fields êr, (time derivatjve of the infinitesjmal
fr=u
l4ultiaxial States of Stress : Constitut
11
strain tensor) and o.ij (stress tensor field) form these constitutive
equations. Fol'lowjng 0dquist (1966), the secondary creep equations
wjll be qeneraìized to three dimensions; the primary creep equations
wi I I be devel oped fo'l ì owi ng that.
According to experience, the creep rate Ëi¡ is unaffected
by a superimposed hydrostatic pressure. Therefore, it was decided
to separate the stress tensor into its deviatoric and mean normal
components, as the deviatoric component is unaffected by a superimposed
hydrostatic pressure. Therefore,Ioij = S.ij +åotf ôij
where S.ij = stress devi ator tensor
1
t"ft = mean normal pressure.
(2.7 )
( 1928) and consider the rate ofIf we fol low Von Mi ses
energy dissipation ù, *. obtain:
:.. = c, -:.. . 1W = oij rij = Sij å.¡j *T
because ôij Ëij = êkk = 0
If the rate of energy dissipation hJ
rate tensor constant, we obtain:
où = osrj Ëij
and therefore Ëi¡
6ij okk Ëij = Sij Ëtj ,
( i ncompres s i bi 'l 'i ty a s sumed ) .
i s vari ed , keepi ng the
(2.8)
strain
(2.e)
If the hypothesìs that W be a flow potential is introduced,
i.e. that ù 'is dependent on some scalar function os of the stress
deviator tensor, (termed the equivalent stress) then Equation (2.g)
represents the constitutive equat'ion. Considering isotropic materials,
o! is taken as be'ing proportional to the second invariant of the stress
= âl'laSij
T?
deviator tensor. (The influence of the third invariant of the stress
deviator tensor on the creep rate has been found to be neg'ligible
i n most cases (Odqvi st, i966 ) ) . Add'ing the requ'i rement that og shal I
reduce to o1 jn the uniaxial case' we have:
^Z = 3 c.. ç.. (2.10)oe-Z 'lJ -lJ
= 3,rl =2,2 . =]t(oroz)2+ (o2-o3)z+ (o3-o1)21uZ 2 'oct 2
where Jl = second invariant of stress devjator tensor
toct = octahedral shear stress
o!,oZ,o3 = princiPaì stresses.
Carrying out the d'ifferentiation in Equation (2.9):
Ëij =åä"fo=:åå*=å{hT (z.io)
The unjaxial stress case yields:
Sll = 3 "rr, SZZ= S33 = - å ort
From fruati on ( 2. i0 ) :
oe = o11 (2.12)
The requirement that Equation (2.10) w'ill reduce to Norton's Law,
tquation (2.2) (i.e.the uniaxial case) then yields:
. 3dl{ 2oIl . .o11,rìå11 = Ë ¿% å ,i = u. Fa:ì" (2.13\
Therefore:
( 2. 11)
dl,l . "oe'n-
= ^ t-t
doe "c Locl t (2.14)
Thus, subst'ituting Equation (2.L4) into Equation (2.10) yields the
constitutive equation for secondary creep:
i.. = å^ rog.rn I fu- e.r6)tll - 'c \oc, Z oe
Thi s consti tuti ve equati on , therefore , i s founded on the
fol lowing hypotheses:
1) The constitutive equatìon for the uniaxial state of stress
should result when the multiaxial state of stress degenerates
into a uniax'ial one ('i .e. should retain Equati on ?'2) '
2) The equations should express the incompressible nature of
the material, which is a consequence of the plast'ic nature
of creep.
The creep rate is independent of superimposed hydrostatic
pressure.
For an i sotrop'i c medi um, the pri nci paì di rectj ons of the
strain rate and stress tensors coincjde (i'e'a flow potentìaì
exi sts ) .
3)
4)
withù=Ëc(h)t-"Jn*t
An al ternati ve form of Eq uat'ion (2 ' 16 ) ' i n
the equi val ent strai n ) i s favoured by some
Here:
13
(2.15)
terms of rÁt )
(e.9. Ladanyi,
(2.r7 )
[(r1-, z)2 * (ez'es)Z * 1.3-'1)21
( termed
Le7 2) .
(c)ze¿ =
(c) (c)tij 'ij
rr - 1 2Lz - 21'oct2
9
23
43
T4
where Ii = second invariant of the strain deviator tensor
Yoct = octahedral shear strain
E!'e2,83 = PrinciPal strains.
From Equations (2.10) " (2.76) and (2.t7)l
;!c)z = å ru. (ä)'åF, r;. (ä)''åF, ,
Therefore:
;(c)Z ="e
Subst'i tuti ng Equati on (2. 10 ) :
29.)3 4 'c
?úE3;2-e
3.?= z',
roer2n sijsijt%'
-{
;(c)2-e
This reduces to:
(+)2nuc
Therefore:
;(c) = ; fStn"e "C '06'
For primary creep, the same hypotheses stated
hold. Hult (1966) presents the generalizat'ion of the
ìaw (Equation 2.5) to a multiaxÍal state of stress as:
¡(c)2 =-e (ä,";2"c
Aga i n , an a'l ternati ve form of Equati on (Z.tg ) i s
of r[c) and og. First, integrate Equation (2.19)
(2. te)
above shoul d
primary creep
(2.re)
derived in terms
with respect to
15
time and substitute'into tquation (2.17):
.(c)2 = !u Ë.)2(ä)zn(l+u) t,[c) ]-2t'(+)2 s:¿siil t2 Q.z0)
Now substitute Equation (2.10) into Equation (2.20):
2
,[c)z = !u ¿.)2 (ä)"(1+u) t,[c)]-2u (å)' tât q, u (z.zt)
Cance'l ì'ing terms and reduci ng yi el ds :
.[c)z = (Ëclz tfrlzn(t+¡) t.Á., TZv tz Q.zz)
Taking the square root of tquation (2.22) gives:
.Á.) = Ë. (ä)t(l+u) t,jc)l-u t (?.23)
Now, taking the time derjvat'ive of Equation (2.23) yields:
o.Át) =. roern(l+u) [.(c)l-H (2.24)-ar- - ec \om/ t.[c)1-u
Now, considering:
ar[c)(1+u) ' (c)___¡T_ = (1+g) G Á.llu 'åT , and substitutins Equatìon
(2.24) y'iel ds :
(2.25)
Now, integrating Equation Q.25) with respect to time y'ields:
,!c) = [(1+u) Ëc]1/(i+H) tält ¿1l(1+u) 12.26)
i6
In terms of Ladanyi and Johnston ( 1978) parameters, thi s becomes:
.(c)"e(2.27 )
(lt should be noted that with þ = 1, this reduces to the secondary
creep E quation 2.18).
since all testing and analysis'in this thesis is done under
isothermal condit'ions, at -2"C, temperature effects on the creep laws
are not discussed here. The reader is referred to Ladanyi (I972) or
Andersland et al. (i978) for a detailed discussion of temperature
effects included in the creep laws.
2.3 REVIEH OF PRESSURE}IETER CREEP TESTII{G IH ICE-RICH FROZEil SOILS
AND ICE
In thj s section, the deri vation of the strai n-hardeni ng,
power law creep equation for the pressuremeter probìem is presented;
this derÍvatjon differs from that given orig'inally by LadanyÍ but
the resulting equat'ion is the same. Moreover, the method of processing
pressuremeter creep data, after Ladanyi and Johnston (1973, 1978) is
given, as welì as typicaì test results.
2.3.L tÞriva'!þn of the Strain-Hardening" Powr
for the Pressurereter Problem
The interpretation of pressuremeter creep tests as proposed
by Ladanyi and Johnston (1973), considers the creep information (which
in a pressuremeter test is relativeìy short-term) as. being essent'ial'ly
of a primary type. The Ladanyi-Johnston method attempts to extrapolate
the creep i nformation to I onger times usi ng curvè fittì ng. One
= tïlo (9)n tbuc
t7
important assumption which Ladanyi and Johnston (1973) made is that
the creep is essentiaììy of a stationary type; i.e. that all stress
redistribution from the ínitial elastic state to the limiting statìonary
state has aìready occurred. This assumptìon implies that the elastic
ana'logue method of analysis may be used.
Using the elastic analogue, a prob'lem of nonlinear creep
may be ana'lyzed as a prob'lem in nonl inear elastic'ity by making the
creep strain rate correspond to the elastic strain. l.l'ithout this,
the solution of the nonl inear creep problem would be extremeìy
di ffi cul t.The pressuremeter problem is modelled as the expansion of
a vertical, infiniteìy ìong cy'lindrÍcaì cavity located in a
semi-infinite half space. Plane strain conditions are assumed, wìth
disp'lacements Ín the radial direction on'ly. For their solution, Ladanyi
and Johnston (1973) started with the strajn-hardenÍng, power law creep
expression from Hult (1966):
,(c) = K oa tb ; (b < t) (2.4)
This same law, genera'lized to a multiaxial state of stress may be
written as:
.[c) - tïto (fln tu
*n.r. ,[t) , oç ônd Ëç are as defined before.
Taking the derivative with respect to time
substituting A into the equation (Q.-X. Sun,
yields:
(2.27 )
of Equation (2.27) and
personal communi cati on )
Ëe = A (os)n (2.28)
where u = (T)o ftålt utb-l
For the pìane strain, cylindrica'l cavity expansion prob.lem:
e1 = ee ) 0
e2=0
e3 = er = -ee < 0 (assuming no volume chanqe)
where eg = circumferential strain
e, = radiaì strain.
By definition:
,'" = Ê [(rs-r¡)' * râ + r?]
e3 = Ê [(16-.¡)2 * ,eø--er¡z * (er")z); for e¡ = -esr
? L, ,2re = T (eg-e¡)
Therefore, Ee = fu tr6-.¡)
and ¿.=å(;u-;r)
Therefore ¿" = 13i or^ ;. =åryNow, for stresses;
o1=o0_ og*o¡
o2 - -z-
. u au dr ,âuSince Ëe = ïand ð" = fr where u = i = fr and ãi -+ = 0 for satisfyinq
i ncompressi b'i I i ty,
,=Pori(r)='lr). (2.s2)
1B
(2.2e)
(2.30)
( 2. 31)
(2.33)
19
"r"=+[(os-o¡)z o ('-zo')z o ('io')2]
This reduces to:
4 = + (os-o')2
Therefore, oe = $Gu-or)
Substitutìng Equations (2.33) and (2'34) into (2'28) yields:
%þ= o (+ (os-o¡))n
.ZL/n Clln. I zor-oo = - tTnTntpn
_ ,rL+(L/n) ,-t/(2n)-t/2 ,r/n a (2. gs)of-og=-L '
From the equ'i I i bri um equati on of moti on :
o3=or'
By defìnition:
-aa*or-oo=oar r
Substitut'ing Equation (2.35) into (2.36) vields:
(2.34)
(2.36)
âor 2I+(I/n) 3-1l(2/n)-L/2 "l/na. ---Fn
, =0' (2'37)
IntegratÍng Equation (Z.Sl) from r = ri to r = re and using the boundary
condit'ions o¡ at r=ri - -P1 and o¡ at r = Fo = -Po yieìds:
-po+Pi =-+ )ft-o2/n-,:2/n¡
(2.38)
20
since c(t) = io(t) rs(t) = ii(t) ri(t) = i(t) r(t), Equation (2'38)
becomeso taking the r.h.s. to the 1.h's' and settjng equaì to zero:
f rni-eor [n1ln ,-L/n 3L/2+r/(2n)r * ,# #) = 0. ( z.3s)
Assume that as fo * -, io(t) = 0 Therefore:
*=tlln(Pi-Po)n a!{/z+ntz (2'40)ri
integrating from to to t, substituting Equation (2.29) for A:
l. ii{*) = tflo ,rå,n 5 ,r,-Po)n tfl' 1t - to)b . ( 2'4r)
Lett'ing to = 0 and ri(ts)= ri :
r,' + = rSln*t t*tu 12(ij:Po) )n tb . (2.42)
The solution to the problem, in terms of cavìty radius r and applied
pressure in the cavity pc is, therefore, the pressuremeter creep equation:
ln (+) = ($)n*t tïlo,3Q;,|o)-)n tb (2.4s)
where: r = current cav'ity radius
r.i = jnitial cavity radius at the beginning of the ith creep
stage
n = creep stress exPonent
Ëç = Proof creeP rate
oç = proof creep stress
b = creep time exPonent
Ps = corrected cavitY Pressure
2T
Po = Pressure in the medium at r = -t = time, usually in mínutes.
As díscussed in the concl usion of Section 2.2-2, if the
b exponent equals one, then the stra'in-hardening creep'law (Equation
2.27) reduces to the secondary or steady-state creep law (Equation
2.L8). In terms of Equat'ion 2.43, this implies that the derivative
of ln rri with respect to time will be a constant; i.e.:
Integrat'ing Equati on 2.44 with respect to time and so'l vi ng
current cavíty radius) gives:
r = ri exp [{f )n*i {e.) ,t!# )n t]
dUT
(2.44)
for r ( the
(2.4s)
According to Equation 2.45, the steady-state creep conditÍon (b =
1.0) for the pressuremeter problem y'ields a solution giving the cavity
radius increasinq exponentially with time. Thus, a paradox is seen
to exist. ThÍs also makes the definition of tertiary creep for the
pressuremeter problem unclear.
2.3.2 Evaluation of Pressurereter Creep Parar¡eters
ThÍs method of evaluation folìows Ladanyi and Johnston (1978).
Figure 2.6 shows the notation for interpretation of stage-loaded
pressuremeter tests. Note that in our case, V js replaced by r since
the pressuremeter used in these studies measures change in radius
of the probe, a' rather than change in volume, av. Now, consider
the creep equation:
ln (fr) =
For simp'lification,
r4tno' tTlo (+#d)n tb
let p.-po = p, and:
22
(2.43)
(2.46)
(2.47 )
12. so)
I og- ì og p'lot
Fig. 2.7 such
strain versustr
È and its
G(p) = tþtn*'tTlo (r*)'
Therefore, substitut'ing Equation (2.46) into Equation (2.43):
ln (:) = G(p) tb'ri
Taking ordinary logarithms of Equation (2.47) yields:
log (tn(f¡)) = los G(p) + u'los t (2.48)
The pressuremeter creep curves shoul d, therefore , I'i neari ze i f I n
(ä) i s pìotted against time in a 1og-'log p1ot. According to Equation
(2.48), the s'lope of the creep straiqht I ínes is equa'l to b, or from
Fig. 2.7,
b = D/C.
The intercept at unìt time (t = 1 minute) of any creep l'ine, each
i ntercept correspondi ng to a d'i fferent pressure P , ì s then equaì to
e(p) (not 2G(p), as in the case of volume strains).
To determine the parameters n and oc, Equation (2.46) may
be wri tten:
log G(p) = log l'l - n logo. + n log P
where:
, = ($)n*t tïlo tåln
Equation (2.49) shows that p'lotting e(p) aqainst p in a
will give a straight line with sìope equal to n. In
a p'lot is shown superimposed on a pìot of the log creep
log time lines. The new straìght line has s'lope rì =
(2.4e)
intercept N, read at an arbitrary value of P =
(2.49) is equal to:
23
P¡, ôccording to tquation
N = M tbln (2.5i)'oç'
For an arbítrary value of Ëc and with known b and n, the value of
M can be calculated from Equation (2.50). The value of os is therefore'
from E quati on (2.51) :
oc = Pn (frltun
Once the creep Parameters b, n and oç
they may be substituted into:
.!') = tïlo tffln tb
(2.52)
have been cal cul ated,
(2.27 )
g'iving a general creep equation of the frozen soil'
To apply the foregoing analysis in pract'ice, two conditions
are necessary:
( 1) the pressuremeter creep curves should I inearize in a pìot
of los (rn(fi)) vs. los time
(Z) creep curves for di fferent sustaj ned pressures shoul d be
paral'leì to each other (i .e. constant slope b)'
2-3.3 Review of Pubìished Pressureneter Test Results in lce-Rich
Frozen Soils and lce
0nìy ice-rich frozen soi I s and ice are considered in thi s
review. It is generaì'ly believed that ice-rich frozen soils (i.e.
frozen soi I s whj ch possess a conti nuous network of segregated i ce
or frozen so'ils in which significant port'ions of the particìes are
completely separated from each other by ice) deform ina frictionless
24
manner and display marked secondary creep (e.g. Andersland et â1.'
1978; Morgenstern et âl . , 1980; þ{eaver and Morgenstern , 198ia ) .
Moreover, the creep (flow) law for ice'is considered to form an upper
limit to the 'long-term creep of ice-rich frozen soils. Ice-poor frozen
soi'ls, on the other hand, such as frozen sands, would deform in a
frictional manner and woul d normal 1y not di sp1 ay secondary creep,
unless under extremeìy high loads. In addition, the assumption of
no volume change would be more nearly satisfied in ice-rich frozen
soi I s than ice-poor frozen soi I s (assuming that consol idation of
unfrozen water is not significant). Therefore, it is felt that the
hypotheses of vol ume constancy and no effect of a superimposed
hydrostatic stress on the creep rate (i.e. frictionless behaviour)
Ín deriving the creep laws are more close'ly satisfied for ice-rich
frozen soÍls and ice than ice-poor granu'lar soils such as frozen sands.
(For a review of the creep properties of frozen sand as measured by
the pressuremeter, the reader is referred to Fensury, 1985.)
Ladanyi and Johnston (1973) carried out pressuremeter creep
tests in ice-rich frozen soil at Thompson, Manitoba. Ladany'i (1982b)
presents results of pressuremeter creep tests in ice-rich frozen soil
near Inuvik, N.tl.T. Ladanyi and Saint-Pierre (1978) and Ladanyi et
al. (I979) present results of pressuremeter creep tests in an Arctic
Sea ice cover and laboratory, fresh water ice. Important fìndings
and results from these papers are sulnmarized below.
Ladanyi and Johnston (1973) is believed to be the firstpaper pub'lished on the measurement of creep properties of frozen soil
using the pressuremeter. Their study was conducted in ice-rich frozen
cl ay and si I t at Thompson , l,lani toba. Both mul ti stage pressuremeter
25
creep tests, with 15 minutes per stage, and single stage creep tests'
'lastíng s1ìghtly over 300 minutes in duration, were carried out with
a Menard pressuremeter. Permafrost temperatures were quite warm'
rang'ing f rom -0. 10'C to -0. 30'C.
Figure 2.8' presents the results of a multistage test, while
Fig. Z.g presents a single stage test. Note that volume strains are
used and the creep parameters are evaluated in terms of Hult (1966)
parameters.
Ladany'i and Johnston report that the creep I ines (as in
Fig. 2.8) for the multistage tests were neither straight nor paralleì.
i'Nevertheless, they appeared to linearize better in one-stage tests
than in multistage tests and showed a tendency to become paralle'l
after 15 minutes. " They therefore consÍdered the creep curves in
the multistage tests as being paraìle'l after 15 minutes, and fjt a
line wÍth an average sìope b to each pressure interval. These creep
línes were proiected back to L minute, where the intercept values
were p'lotted against pressure to obtain n and os. In the tests
performed in the ice-rich varved silt, it was found that the value
of b ranged from 0.4 to 0.67 while m varied from 2 to 4, givìng a
poss'ib'le range in n from
and analysi s, i t woul d
per stage Yield results
much judgement.
L.3 to 2.7. From this initial testing program
appear that multistage tests of 15 minutes
which are difficult to interpret, requ'iring
Ladany.i (1982b) presents the results of pressuremeter creep
tests carried out in ice-rich sil ts and cl ays near Inuv'i k, N 'l.l'T'
Permafrost temperatures varjed from -1.5'C (at 1.5 m depth) to -2'40"C
(at 2.26 m depth). These creep tests were performed with conventional
26
F4enard pressuremeter equipment.
A total of 11 borehole creep tests þrere carried out. Three
hrere mul ti stage w'ith 15 mi nutes per stage , one was mul ti stage wi th
60 minutes per stage while the remaining seven tests were medium-
and'long-term single stage creep tests with creep periods of up to,
and over, ?4 hours. Table 2.L presents a review of data obtained
in these tests. The plotted creep information from some typical tests
carried out at the s'ite is presented in Figs. ?.10 to 2.I2. The
procedures used for determining the creep parameters b, n and oç are
the same as discussed previousìY.
0f interest is the fact that, in all of the multistage creep
tests, the exponent b showed an increase with increasing pressure
from about 0.38 to 1.00. For the purposes of determining values of
n and oc, Ladanyì adopted an average value of b. As shown in Table
2.!, these average values vary between, approximately, 0.7 and 0.8.
Ladanyi has proposed two solutions to this problem of b being
stress dependent:
1) make the b parameter stress dependent through an equation
2) use separate b va'lues for each pressure range, SâY, low,
medium and high; the ones corresponding to the stress range
in the particular problem being considered may then be used.
Using average b values, the n exponent is found to range
from 2.37 to 2.84 and oç from 0.446 to 0.731 MPa (using éç = 19'57min).
0f interest in the determination of the n exponent is the curvature
in the low stress range of the log 2F (pi - po) versus log (pi - po)
p'lots on Figs. 2.10 and 2.IL (pl = Pc'in Equation 2.43). Ladany'i
has ignored the first few stages in determining the n value' Th'is
27
is particularly interesting since the b s'lopes have already been
"fi tted" , usi ng judgement.
The ìong-term, sing'le stage tests (Fig. 2.L2) are reìati vely
para'l'leì and have less scatter in their average b value than the
multistage tests (except for the test at the lowest stress). If the
intercepts of these tests were plotted against pi - Po to determine
rì, the lowest stress test would most ìike'ly be anomolous, as is the
case with the lowest stress increments of the multistage tests.
Therefore , three apparent di ffi cul ti es i n the processi ng
of pressuremeter creep data seem to arise in this paper:
1) tne cr-eep lines are not straight, but curve w1th time
2) the b exponent appears to be stress dependent
3) the plot of log 2F (pi - po) versus log (pi - po) (the slope
of which gives the n exponent) appears to be curved in the
low stress region.
Ladanyi and Sa'int-Pierre ( tgZA) present the results of
pressuremeter creep tests conducted in a seasonal Arctic sea ice cover
at Igloolik, N.lll.T. The cover, which was about 1.5 m thick' was
comprised of columnar-grained ice of type S2; i.e. the optical c
axis of the crystaìs was horizontal. The ice also had a high content
of air bubbles in the top 20 cm. The ice temperature at the level
of most of the tests (about 50 cm below the ice surface) was about
-4oC. A Henard pressuremeter was used to conduct the creep tests'
In this study, a total of 10 creep tests were performed;
6 were short-term, multistage and 4 were single stage, long-term creep
tests. The results of analysis of these tests are presented in Table
2.2. In addition, the last stage of short-term, mu'ltistage tests
28
3,5and?2washe]dforupto20minutes.Theinformationfromthislastcreepstageisa]sopresentedinTable2.2.Thedurationofeach stage 'ln the multistage tests was 15 minutes, except for test
no.l3,whjchhad30mìnutesperstage.Thecreeptimeinthesing.le
stage tests varied from 75 to 720 mìnutes'
The creep parameters shown in Table 2.2 were determjned
in the standard way (Ëc = 1g-S¡min). It is seen that, within the
creep test pressure range of L to 3 MPa, the exponent b showed an
increase from 0.?2 to 1.0, which means that a condition of steady-state
creep was approached at higher pressures. For determìning the values
of n and oc, an average value of b, taken at 15 minutes for the high
stress range, had to be adopted. A general average value of b = 0'822
was determined.
Fi gures 2.13 and 2.I4 present pl ots of an examp'le of a
multistage creep test (test no. 14) and the singìe stage tests' The
standard method of derivation of the creep parameters is shown. Figure
2.13.illustrates again that the creep lines in the 15 minute stages
are not particu'larly "well behaved" (accord'ing to the model ) and
some interpretation i s needed in drawing the "para1 ìel " b I ines '
Moreover, the plot of log 2G (pc -po) versus log (pc - po) is again
curved in the low stress region. 0f the most reliable tests (in the
opinion of Ladanyi and Saint-Pierre), n varied from 2.05 to 2'18 with
an average of z.IL and oç varjed from 0.184 to 0.634 MPa, wjth an
average of 0.394 MPa. The'long-term tests p'lotted in F'ig. 2.74 show
that there is a tendency for b to decrease with time.
Ladanyi and saint-P'ierre claim that the n values are probably
low because the b exponents were determjned at a creep time of only
?9
15 minutes, meaning that the ice was stjll in primary creep. They
would have anticipated values closer to 3 'if the b values had been
determined at a longer time. An n value of 3 is generally thought
to represent the steady-state creep of ice (e.g. Morgenstern et ä1.,
1980; Sego, 1980 ) .
Ladanyi et al. (1979) present the results of di'latometer
relaxation testing in laboratory prepared samples of fresh water ice'
Accord'ing to Ladanyi et â1., the creep parameterS b, n and oç may
be determined from relaxation test data by approximate techniques.
These results are presented here because they are the on'ly known results
of any kind of pressuremeter or dilatometer testing jn fresh water
i ce.
The results are interesting for a number of reasons' First'
Ladanyi et al . note that radial cracking deve'loped very ear'ly on in
the tests, which were conducted in unconfined ice cyìinders' Moreover'
total failure was reported to have occurred at ln (fr, = SZ. Therefore,
these tests could not be run to ìarge strajns without cracks developìng
or comp'lete failure. Secondly, the creep parameters b, n and os seem
quìte dependent on the amount of strain the ice sample has undergone'
For example:
1) in the low strain region, ln (ï^ ) < 2'48%;YO
b = 0.14, n = 1.10, oc = 63'4 MPa at ðç = 10-5/min
2) in the medium strain range,2.¿18 ( jn tfl < 3'63%;'Vg'
b = 0.28, n = 1.75, oc = 7.49 MPa at Ëç = 10-57m'in
3) in the high strain range, f n (fr) > 3'63%;
b = 0.42, n = 2.40, oc = 2'60 MPa at ê. = 10-5/tin'
30
2"3.4 Sumnary
To date, therefore, there is no long-term ('i.e. greater
than about 24 hours) creep data which supports the use of the
strai n-hardeni ng, power I aw creep theory i n the anal ys'i s of
pressuremeter creep tests in ice-rich frozen soils and ice. Moreover'
the results presented in the last subsection indicate that a degree
of judgement is required ín processing the pressuremeter creep resuìts;
i.e. the creep lines are often not linear, and therefore a tangent
at 15 minutes is used, and the b exponent ìs found to be stress level
dependent. In fact, Ladanyi et al. (1984) address these very problems.
Using a finite element simulation of the borehole creep
test, Ladanyi et al. (1984) performed a parametric study to evaluate
the minimum time under a g'iven load to actually approach a condìtion
of stationary creep. (Recal I that the derivat'ion of the
strajn-hardening creep 1aw, using the elastic analogue, has assumed
that a cond'ition of stationary creep already exists.) Usìng the test
results for sea ice from Ladany'i and Saint-Pierre (tgZg) as a basis,
they show that about 4 to 5 hours, and up to 7 hours are required
for the stresses to approach the stat'ionary state for appl ied pressures
in the range I to 2.5 MPa. This study indicates, therefore, that
times much longer than 15 or 30 minutes are required to proper'ly
determjne the creep parameters of ice with the pressuremeter. The
data presented in thìs thesis will, therefore, attempt to fil I in
the void in the long-term pressuremeter creep data'in ice and answer
some of the questÍons which Ladanyi'et al. (1984), with their finite
element anaìysis, have posed.
Now that the pressuremeter test itself has been reviewed,
31
the next section díscusses the use of the pressuremeter test to give
creep parameters which may be used to predict creep settlements of
foundations resting on ice-rich frozen soil or ice.
2"4 SOLUTIO}IS TO SELECTED Bü'NDÂRY-VALUE-PROBLEÞIS APPLIED TO ICE OR
ICE-RICH FROZEN SOILS
As has already been discussed, Ladanyi (I972) adopted the
power law theory to describe the creep of frozen soils because it
was a relatively simpìe mathematical expression which al lowed the
solution of relatively complex boundary-va'lue-problems to be found.
ñormal design procedures involvíng structures founded on ice or ice-rich
frozen soil involve an estimate of the creep settlement. In order
to estimate creep settlements, values for the creep parameters appearing
in the solution for the boundary-value problem must be determined.
Intu'it'ive1y, and as indicated by Sego (1980), an accurate assessment
of the parameters governing creep in the field can be gained only
through in situ testìng as compared to ìaboratory testing. The
pressuremeter test, as was first indicated by Ladany'i, is a promising
in situ procedure. The sol utions to a number of typical
boundary-val ue-prob'l ems i nvol vi ng creep are presented . From thj s
presentat'ion it will be Seen which creep parameters are required,
and which of these parameters are the most important.
2.4.L Grouted Rod Anchors in Permafrost (Johnston and Ladanyi, 1972)
The anchor rod sol uti on has al so been appl ì ed to the
steady-state creep of friction pi'les embedded in ice or. ice-rich frozen
soils (bV Nixon and McRoberts, I976; Morgenstern et ô1., 1980 and
Heaver and Morgenstern, 1981b). In
of frozen soi I around the anchor or
the sheari ng of concentri c cy'l i nders .
di spl acement rate, ùu , i s g'i ven bY:
the sol uti on ,
p'ile shaft has
The anchor or
32
the deformation
been likened to
pi le steady-state
. a t(n+l )/2tl =ua n-1
T¿
¿. (ä)n
= pile or anchor rod radius'
= average applied tangential shear stress'
- Ëc ,3 (pi-pn))n l-3 _t )t-7 1 Znoc
(2.53)
(2.54)
êc)'
accurate determìnation
oç: Iì = creep parameters (for a given Ës)'
It is seen that an accurate assessment of both oç and, particularly'
the creep exponent n are important'
2-4.2 Circular Footi and PIate Ãnchors Ladan and Johnston,
Le7 4)
Thi s ci rcul ar-pì ate sol uti on has al so been app'l 'ied to the
end-bearing of piles (l,leaver and Morgenstern, 198ib) ' The problem
has been solved assuming that the deformat'ion behaviour of the frozen
sojl beneath the deep circular footing resembles that of an expanding
spherical cavity of radius a. The settlement rate ùu is given by:
where a
lì, OC
Therefore, as
ùa=â
where a
pí
po
å rr
= pi ìe rad'ius,
= cavity exPansion Pressure'
=averagetotaloriqjnalgroundstressatthefootinglevel,
= creep parameters
with the previous
(for a g'iven
solution, an
33
of os and the creep exponent n are important'
2.4.3 Shallow Foundations (Njxon, 1978' Ladanvi' 1983)
Solutions for both strip and circular footinqs have been
deveìoped from cyì indrica] and spherica'l cavity expans'ion theories
respectively. Ladanyi (1975) developed the theoretical solution for
a strip footing, while the solution of Ladanyi and Johnston (1974)
is used for the circular footing case. Ladanyi (1983)' following
Nixon (lg7$), concluded that the settlement rate, S, of a foot'ing
founded'in ice or ice-rich frozen sojl may be expressed as:
S = ,9, ,. (f;)n (2.55)
where I = i nf 'l uence factor,
B = foundat'ion width
q = applied vertical
tì, oc = creep parameters
Approximate values of I, from the cavity expansion theories are:
for a circular footing: I = (*)n
based on footing shaPe'
or diameter,
pressure
(for a gìven Ës).
(2.56)
for a strip footing: r = (+) tfl' (2.57 )
An accurate determination of oç and partìcularly the creep exponent n is
critical.
2.4.4
Rowley at al. ( 1973, 1975) present results of lateral pi'le
load tests conducted in ice-rjch silt at Inuvik, N.l'l.T. Since the
pile creep curves were essentialìy of a prìmary type, a primary type
pressure-deflection relationship was developed, from cyìindrical cav'ity
Laterallv l-oaded Piles (Rowley et al" 1973' 1975; Nixon' 1984
34
expansion theory. The relationship has the form:
(r* (4)n*1 t*t' tl3l' tb)Z -t:ì (z.sa)rïroY-rrE'-EL
where Y
q
po
b, fl,
B
= p'i 1e di sPl acement '
= appl i ed pres sure '
= average origina'l ground pressure'
oc = creep parameters (for a given Ës),
= piìe diameter.
It may be noted that this equation is
for the pressuremeter case.
very simjlar to Equation (?.43)
Nixon ( 1984) advocates the use of a secondary creep law
to describe long-term p'ile disp]acements under sustained lateral loads
for piles embedded'in ice or icy soils. He gives the horizontal
dispìacement rate ù for a ho¡izontalìy loaded short, rigid free-headed
pile as:
ú=ra;c(fl)n (2.5e)
where a
lì¡ OC
p
I
Usi ng Ladanyi 's cavìty provides:
r = (å)n tf ln*t (2.60)
N.ixon (1984) reconrmends that field load tests be continued for a
suff.icient period of time so that steady or near-steady disp'lacement
rates may be obtained. He has shown that lateral'ly'loaded flexible
= radius of pi1e,
= creep parameters (for a given
= unit horizontal stress on the
= influence factor.
anal ysi s for a deeP cY'l i ndri cal
e6J r
loaded area,
35
pÍles undergo an extended primary creep period due to bending of the
pi'le and stress readjustment aìong the pile shaft. This may partial'ly
account for the fact that Rowìey et al. (1973, 1975), in their
relatively short term pile load tests, noted only primary type creep.
2.e,.5 St¡rrnary
It must be stressed that these solutions to selected
boundary-vaìue-problems, are for illustrative purposes on'ly, to
emphasize the importance of an accurate assessment of oç and more
particularly the creep exponent n for design purposes. For the complete
solutions to these probìems the references quoted should be referred
to. It is also emphasized that only creep d'isp'lacements, with volume
constancy, are assumed. LadanyÍ (198i, 1983, 1985) has stressed that
in some frozen soils close to 0oC, consolidation of unfrozen water
may significantly contribute to deformations.
2.5 BACKGROUND TO THE I'IODIFIED SECOND-ORDER FLUID HODEL
As stated in the Introduction to this thesis, and supported
by the review of published pressuremeter results in Section 2-3, doubts
have been cast on the validity of the strain-hardening, power law
creep theory when app'l i ed to the pressuremeter prob'l em. These doubts
arise because:
l) The strain-hardening, power law creep theory is essentiaì'ly
an empirical law, developed almost entire'ly from curve fitting
and based on the results of uniaxial (tens'i1e) creep
experiments conducted on metals at high temperatures. The
'law has not been transformed theoreticaì ly to solve the
36
three-dimensional (multiaxial) case; rather, âr equiva'lent
stress and an equiValent strain (oe and .e) were s'imply
substituted into the one-dirnensional model.
2) The model incorporates the infinitesimal strain tensor, which
shoul d only be used for smal I di spl acements. Creep
díspìacements are often large.
3) As the last sections have indicated, evaluatÍon of the creep
parameters for this model is often ambiguous, with the main
prob'lem being the variation of b with both time and pressure.
The select'ion of b Ís critical, since b is not onìy the
exponent of the time in the creep equation, but also enters
into the determination of n and oç. The use of a stress
dependent b, as in Ladanyi and Eckardt (1983) and Fensury
(1985), is an attempt to solve at least part of this probìem,
but the necessary conditions for the vaìid'ity of the model
(i.e., linear, parallel creep lines) have been violated.
4) The model cannot represent both primary and secondary creep
at once . If b < 1 , then the primary, or attenuat'ing port'i on
of the creep curve may be represented. If extrapolated to
longer times and larger strains, however, the use of b less
than 1 may be in serious error. If b - 1, then secondary
creep may be representêd, but the primary part of the creep
curve must be accounted for separately'
llith these thoughts in mind, Man et al. (1985) set out to
theoretica'lly develop, from continuum mechanics principles' a reasonabìy
simp]e creep model which could represent both prima¡y and secondary
creep, as well as capture the nonlinear dependence of the secondary
37
creep-rate on the deviatoric stress.
As a starting point, the second-order fluid model whjch
had been used successfu'l1y to model both the creep of jce (McTigue
et â1., i984) and the creep of rock salt (Passman, 1982) in triaxial
compression, was selected and solved for the pressuremeter probìem
(l'1an , 1983) . The model used by McT'igue et al . and Passman does not,
however, take into account the nonlínear dependence of the secondary
creep-rate on the devi atori c stress. (Analysi s of prel imi nary
pressuremeter test data from the present study indicated that the
secondary creep-rate was in fact dependent upon stress.) A preliminary
form of stress dependence was introduced in Man et al. (1985). Further
refinements (Man, 1985) led to the model which is used in the analysis
of results for this thesis. This so-called modified second-order
fluid model is discussed in the next subsection.
2"5 HODIFIED SECOND-0RDER FLUID HODEL: THE0RETICAL CO$ISIDERATI0NS
The modified second-order fluid model proposed by l4an (1985)
is described by the constitutive relation:
T = -pr + [unr + ur Az + a2 A! ] (-Iro)*/2 (2.61)
where: T = Cauchy stress tensor
p = indeterminate (sphericaì) pressure
A1 = first Rivlin-Ericksen tensor
A2 = second Rivlin-Ericksen tensor
D = A1/2 = stretching tensor
IID = second principal invariant of the stretching tensor
H, al , aZ, m = material coefficients
38
(For more details on these tensors, refer to an introductory book
on continuum mechanics, such as Lai et al., 1973.)
The equation of motion for the pressuremeter probì em i s
deri ved from Equatì on (2.6L ) wj th the foì 'lowi ng i deal i zat'ions and
assumpti ons :
1) The expansion of an infin'itely long cylindricaì cavity under
a constant Ínternal pressure Pc is considered. The cav'ity
is in a homogeneous, isotropic material, which isincompressíble.
2) Flow ín the material outside the cavity is assumed to have
the folìowing form:
vr = vr (r, t)Vo=o
vz=0
where Vr, v0, v7 are components of the spatial veìocity
field. In other words, radial flow only is assumed.
3) Body forces are assumed to be equa'l to zero and the motion
is creeping flow. Therefore, the equation of balance of
linear momentum becomes:
divT=0.Under these conditions, the equation of motion describing
the pressuremeter problem is:
"r * - nb "r ,*,'* u (*, - (Pc:Po) (m+1) tfit-* = o (2.62)
'0
where, fo = ro(t) = cavity radius
io = cavity expansion rate
io = cavity acceleration
39
Pc
Po
= applied cavity pressure
= pressurê ât r = -[, 01, rr = materia] coefficients.
[Note: ro is equivalent to the r used in the strain-harden'ing, power
1aw creep model; the subscript 'o' is used so that a clear distinction
between the two models exists.]
Details about the modified second-order fluid model may be found in
Man ( 1985) . For the analysi s of the pressuremeter creep tests inthis study, Po, the pressure at r = -, is assumed to be ze?o, as wÍth
the strain-hardening, power law solution. It is noteworthy that the
material coefficient o2 (Equation 2.6I) does not appear in the solution
for the pressuremeter case.
It is interesting to note, as well, that if m in Equation
2.62 is set equal to zero, then the motion equation reduces to the
second-order fluid; i.e. :
In addition, if o1 in Equation (2.62) is set
motion equation reduces to the power law fluid;
'1 * * u (*&) -+ = o
io _ . p. (m+i) r1l(m+1)r, - L--T-)
(2. 63 )
equal to zero, then the
i.e.:
In order to determine the creep
coefficients) for thi s model , the nonl inear
(2.62) must be solved. The method of solution is
pa rameters
di fferenti al
outl ined in
(2.64)
(material
Equati on
Chapter 5.
Tes
t D
epth
Tio
irno
.
TA
BLE
2.I
Res
ults
of
Pre
ssur
emet
er C
reep
Tes
ts"
Inuv
ik'
1978
(fro
m L
adan
yi,
1982
b)
201
2.18
-2.
25 0
.2m
203
2.26
-2.
40 0
.549
205
2.10
- 2
.20
0.56
420
6 r.
78 -
1.9
0 0.
434
208
2.50
- 2
.50
0.48
62l
l 1.
98 -
2.05
0.5
23-1
.00
2t4
2.02
- 2
.10
0.60
9-0.
967
2t6
r.78
- 1
.85
0.56
8-0.
895
2t7
1.90
- 2
.00
0.37
721
8 1.
90 -
2.0
0 0.
591-
0;t2
9zt
g 2.
10 -
2.20
0.3
83-0
.846
oc
b^,
oc
(É.
=lo
-s/
min
)M
Pa
Cre
eppr
essu
rera
nge
MP
a
0.74
6 2.
430
0.55
1
0.78
6 2.
655
0.43
1
0.68
8 2.
370
0.73
4
0.78
0 2.
837
0.44
6
Max
.tim
epe
rst
age,
min
0.58
2.48
r.98
1.48
0.98
0.75
-2.3
50.
95-2
.95
0.95
-2.4
50.
95r.
95-2
.45
0.95
-2.8
5
Ave
rage
load
ing
rate
,
900
240
150
l3l0
I 32
0 l5 l5 60I 59
0û-
75 l5
MP
a/m
in l0
-3/m
in M
Pa
MP
a M
Pa
Ran
ge o
fst
rain
rate
s,
0.01
330.
0r 3
3
0.03
33
0.03
33
r,G
0.3-
4.3
0.?-
5.6
0.4-
I .8
0.ó-
5.7
0.69
- 0
.73
42.5
0.69
- 0
.10
36.0
0.ó9
- 0
.27
42.6
0.69
- 0
.36
38.0
Þ o
TA
BLE
2.2
Res
ults
of
Pre
ssur
enet
er C
reep
Tes
ts in
Sea
Ice
(fro
m L
adan
yi a
nd S
aint
-Pie
rre'
197
8)
Tes
tN
ooT
ime
Per
stag
e
f,ver
?'g€
Ioad
in6
rate
3 4 5 6 ? I 12 13 14 1? 18 20 22
ntl.n
Pirr
"*
l5 1s 1s I5 720
'15
15 30 1s 1s 120
300 20
kPa/
rnir
Cre
eppr
eSsu
rera
nge
33,3
33"3
13.3 6.7
13.3
t:.t
MP
a
3.44
32.
989
3"4?
52.
987
1.49
41"
951
2"38
82.
188
2"38
82,
189
I.993
1" 5
952.
479
3.44
30.
996-
2.98
93.
475
0.99
5-2.
98?
I,494
1.95
r1.
193-
2.38
80.
993-
2.18
80.
993-
2.38
80.
994-
2"18
91.
993
I.595
2.47
9
MP
a
b
(ran
ge)
b(a
ver.
at 1
5m
in)
0.94
1-0.
?97
o.22
2-0.
933
I.000
-0,9
I70.
615-
0.84
0o.
620-
0"42
00"
?69-
0.52
60.
580-
0.90
50.
698-
0.92
90.
669-
I,000
0.?3
3-0.
882
0.82
8-0.
627
0.74
0-0.
669
1.00
0-0.
9I3
noc for
{ec-
o-5¡
nin-
0.94
Lo"
933
1.00
00.
?I3
0"62
00"
769
o.?4
50.
?06
0.90
5o.
882
o.82
80"
740
I.000
I
1. s
40
4"O
10
z.lts
2.04
82.
O54
2.].4
5
IlPa
-L
0"10
4
o"49
4
o.ig
o0.
634
0.32
t0"
Ì84
I I
Þ lJ
42
'õ
(h
Tertiary creeP,yield strength exceeded
Secondary creeP dominant.ice rich soils
Primary creep dominanl,rce'poor soils
'õ
U'
o€
'õ
tn
Constant stress creep test;(a) creep curve variations(b) basic creep curve(c) strain rate versus time
(After Andersland, Sayles, Ladanyi, 1978)
Figure 2.1
43
-{i Ièa
'!'
,t'
,l',r
0
Figure 2.2 Linearized creep curves (after Andersland, Sayles andLadanyi, 1978)
o
o)Þ
Figure 2.3 Log-ìogLadanyi
p'lot of, 1972)
Time t
the secondary creep 'law, Eqn . 2.2 (after
44
tigure 2.4 Primary creep curves (after Hult, 1966)
ét (c)(rl)
Figure 2.5 PrimarY creep curves at0AB: time-hardeningOAC: strai n-hardeni ng(after Hult,1966)
di scont'inuous stress chanqe;
45
29z
o
o
¡z.f
cuMUtATtvt lrMt. I I
Figure 2.6 Notation fortest (after
interpretation of staqe loadedLadanyi and Johnston, 1973)
p re s s uremete r
Ëq(]
ì'oo1
:o
õ
Trme f, mrn
Presgre r¡- MP¡
Figure 2.7 Determjnation of creep parameterg lrom the results of a
staqe loaded pressuremeter test (after Ladanyi andJohnston, 1978)
46
I0.0t
0.00t
IO
TIME. ÀIINor {Pc - pol. b¡r
Figure 2.8 DeterminatÍon of creep parameters fortest i n a varved si I t-c'lay f rozen soi Iand Johnston, 1973)
a mul ti stage(after Ladanyi
l.0
Þc 9o 15.41 T0 14. 32 bãr
t l.u'2.02I o.tc
ftÀrt. Mlr
Figure 2.9 single stage creep test in a varved silt-cìay frozensoil (after Ladanyi and Johnston, l973)
Aß'l +/, '1.785
DÆ . m/(t ?l 'l.5Uln -272
r¡ . 3. t? x l0-4
,/ /4 N 7--
---
:l l-z
F.
Fiq
ure
2.10
Sta
qe l
oade
d pr
essu
rem
eter
tes
t2I
4, w
lth 1
5 m
inut
es p
er s
tage
:cr
eep
para
met
er d
eter
mjn
atio
n(a
fter
Lada
nyi,
1982
b)
.d .l .if lr 'ô¡
.ô .iI c
<I
time.
l. m
in
I
Fì gu
re 2
. I
1S
tage
load
ed p
ress
urem
eter
tes
t21
6, w
jth 6
0 m
inut
es p
er s
tage
:cr
eep
para
met
er d
eter
min
atio
n(a
fter
Lada
nyi,
1982
b)
Þ \¡
1 È .ç É ¡n
ool
Fjq
ure
2.12
Lon
g-te
rm p
ress
urem
eter
cre
ep t
ests
(af
ter
Lada
nyi,
1982
b)
100
time.
t. m
in
Þ æ
N=
0Or0
132-
u
.\Ê A/
cv'/
a/ Q/
t
1 2
4 81
0 15
Tim
e, t
,mln
, or
pc-
po,
MP
a
Fiq
ure
2.13
Fift
een
min
ute
cree
p cu
rves
in a
log-
'log
pìot
and
the
dete
rmin
atìo
n of
cre
ep p
aram
eter
s,'
test
14
(afte
r La
dany
i and
Sai
nt-P
ierr
e, 1
978)ff-
,icl
J
Pç-
Ps,
MP
a
1.99
3 1.
545
\449
Fig
ure
2.14
Lon
g-te
rm c
reep
cur
ves
for
test
s 7,
18
and
20 (
afte
r La
dany
i and
Sai
nt-P
ierr
e,1e
78 )
100
1000
Tim
e, t
, m
ln
Þ rg
50
CHAPTER 3
TEST EQUIPHEHT A¡{D TEST PROCEDURES
3. I IruTRODUCTIOru
In hjs 1982 paper on."Borehole creep and relaxation tests
in ice-rich permafrost", Ladanyi concludes:
"Nevertheless, it is felt that a definite answer as to thevalidity and relative merit of such borehole expansion testscan onìy be obtained if they are performed underwell-controlled ìaboratory conditions in thick cylindersof frozen soi l . "
Pressuremeter testing in the laboratory assures:' 1) tne production of artificial samples which are reproducibìe
and homogeneous.
2) temperature control, so that conditions are uniform and
isothermal.
recording by data acquisition system.
'longer creep durations than are logistically possible in
the field.
Ice was chosen to be the test material for the foìlowing
reasons:
1) Ice i s general ly thought to deform in an incompressible,
frictionless manner (e.g. Sego and Horgenstern, 1983, 1985;
Ladanyi and Saint-Pierre, 1979); therefore, two conditions
critical to the use of the strain-hardening, power law creep
model are believed to be satisfied. Moreover, Sego and
Morgenstern ( 1985) demonstrated that the power law creep
model, generalized to multiaxial states of stress, can be
used to model the indentation of a circular punch into ice.
3)
4)
51
They modelled the deformation of the ice beneath the punch
with sphericaì cavity expansion theory; the pressuremeter
represents a case of cyìindrical cavity expansion.
2) It is re'latively easy to make homogeneous, isotropìc,
reproducibìe samp'les of ice using the seed crysta'l technique
discussed in Sectjon 3.3. Eckardt (1981), on the other hand,
testi ng samp'les of f rozen sand, attri butes 'large scatter
in the pressuremeter creep data to variability in the sand
density.
3) There is a growing interest in the creep of ice:
. i) ice is generaì1y thought to form an approximate upper
bound to the creep of ice-rich frozen soil.
ii ) stress measurements in icebergs (Shields et â1., 1986)
must consider creep.
iii ) the practicaì use of artificial, sprayed ice islands
in the American Arctic Ocean (Hughes, 1985) wil'l depend
on creep performance.
iv) the bearing capacity of and pressures exerted by sea
ice covers (Ladanyi and Saint-Pierre,1978) are creep
dependent.
The purpose of the testing program in this thesis, therefore,
was to investigate, under controlled laboratory conditions:
1) the validity of the strain-hardeninq power law creep theory
and the modified second-order fl uid model in mode'l Ìing
'long-term pressuremeter creep tests in ice;2) the validity of stage-loaded creep tests, as opposed to single
stage tests conducted at equi va'l ent stresses , i n determi ni ng
the stress dependence of the creep law; i.e. does the material
52
possess "fading memory", ds the power law creep theory assumes?
(Hult, i966)
The next three subsections present the test equipment, ice
sampìe preparation, and pressuremeter creep test procedures.
3.2 ïEST EQUIPI4ENï
The schemati c ì ayout of the pressuremeter testi ng system
used in this study is illustrated jn Fig. 3.1. In the schematjc
diagram, only one pressuremeter system and one testing tank are shown.
In fact, three comp'lete pressuremeter testing systems were used
concurrentìy to reduce the total time required to carry out the test
program. Each of the components in the system, as well as the driììing
and sampl i ng equi pment whj ch was used i s descrì bed i n the foì 1 owi ng
secti ons.
3-2.I Pressurreneter Testing Tanks, Including the Sample Freezing
System
One of the most important aspects of the testing program
was to decÍde on the sample boundary condjtions. A number of options
were available:
1) completely unconfined cy]inder of ice (Ladanyj et al., 1979);
2) frozen sampìe in a thin-walled tank with no top constraint
(Snields et al., 1984; Fensury, 1985);
3) pressurized lateral boundary (pressure appì ied througl'r a
membrane) with top and bottom semi-rigid constraints (Eckardt,
1981);
4) semi-rigìd bottom and I ateral boundari es wi th free toP
53
bounda ry.
0ption no. l is impractica'l due to the size of the samp'les
that would be required and the problem of removing them from the mould
(even for thjs study, with a semj-rigid cylindrical boundary, samples
weighing approximate'ly 475 kg were used). 0ption no. 2" which has
boundary conditions very sim'ilar to no. 1, is attractive from a
theoretical po'int of view (i.e. may use thick-wal 1ed cyl inder solutions)
but not from a practical point of view. Serious iniury almost resulted
when several samples literally exploded while being tested in thjn
wal led tanks with the pressuremeter at the University of Manitoba
(R. Kenyon, pers. commun.). Moreover, deformation in thin-walled
tanks or with the ice unconfined is believed to result in radial
cracking at an early stage; this js contrary to the assumption of
creeping flow, which the creep theories are based upon. For example,
Ladanyi et âl . , (1979) whì'le test'ing unconfined cyl inders of fresh
water ice, noted cracking at a very earìy stage in the test, with
complete failure of the cyìinders at rather low strains. 0ption no.
3 is again attractive from a theoretical point of view, with forced
pìane strain condjtions, but again sampìe cracking Ís believed to
occur wi th thi s test set-up ( Eckardt, 1981 i Ladanyi and Eckardt,
1983). In addition, with the top lid in p1ace, the sampìe cannot be
moni tored vi suaì ìy duri ng the test for the devel opment of cracks.
Therefore, all things being considered, option no.4, with
both the bottom and the lateral boundaries semi-rigid, was believed
to offer the best compromise. 0ption 4 would reduce the tendency
for fa'ilure of the sampìe through cracking, and would force the ice
to flow in a visco-plastic manner. Elastic anaìysis of the ice-steel
54
tank system which was chosen showed the radial stress distribution
in the sample to be very close to the stress distribution wh'ich would
prevail in the field case, with the "external radius" go'ing to infinity.
Moreover, the radial stress at the ice-steel tank boundary is less
than one percent of the appì ied stress in the cavity. Therefore,
the results can be analyzed us'ing "field" equations (Ladanyi and
Johnston, 1978). As discussed by Briaud and Shields (1981), however,
the proxim'ity of the free upper surface of the sample to the
pressuremeter membrane may have an influence on the nature of the
deformation. Numerjcal analysis would be necessary to proper'ly assess
thi s condition.
The tanks themselves are composed of sections of steel pipe
(890 mm inside diameter by 11.7 mm wall thickness) with a 9.5 mm thick
steel pìate welded onto the base. A 76 mm wide ìip was welded around
the top of the tank to enable a steel lid to be fastened to the tank
i f requi red, and for transporti ng the tanks. In the col d room, the
tanks were pìaced on top of two (100 mm square by 6.4 rnm wall thickness)
hol low structural members. These structural members were I ocated
beneath the centroid of each semi-circular half of the tank. This
confi gurat'i on al I owed for ai r ci rcul atj on beneath the tanks , thus
promotìng uniform temperature conditions withjn the sampìe.
A heat exchange (freezing) coil was installed in the bottom
of each tank to freeze the samp'les from the bottom upr thus considerably
reducing thermal stresses and strains in the sampìe (Sego, 1980). -In
order to minimÍze heat flow through the base and lateral boundary
of the tank, the heat exchange coil was pìaced on top of a 50 mm thick
disk of rig'id styrofoam insulation. Finally, saturated sand was packed
55
around the coil to enhance heat exchange capabilities in the vic'inity
of the coi I (dense, saturated frozen sand has a hi gher thermal
conduct'ivity than ice) and to provide a working base for formìng the
samp'l e. Thi s sand was fi rst frozen sol j d before i ce maki ng was
attempted, so that no mixing of the sand and the superincumbent jce
occurred.
The heat exchange coil in the base of all three tanks was
connected to a Tecumseh condens'ing unit. Th'is half-horsepower unit,
which is air cooled and powered at 115 volts, has a rated heat flow
capacity of 344 watts at an evaporator (coil) temperature of -40'C
and 996 watts at an evaporator temperature of 0oC. As P late 3.1
i I I ustrates, the condensi ng uni t can be swi tched to any one of the
tanks by opening and cìos'ing the appropriate shut-off valves. More
details on sample preparation and freezing are given in Sectjon 3.3.
3.2.2 0Y0 EIasùrcter 100 Pressureneters
In order to carry out long-term pressuremeter tests (lastjng
for weeks) in wh'ich volume change of the measuring cell is used to
represent deformation, a 'leak-proof hydraul ic pressuremeter would
be needed. Since a pressuremeter meet'ing these requirements could
not be bought and it was doubtful if one could be constructed, it
was decided to use a pressuremeter which measures radius change
directly, through a caìiper arm - LVDT system. The 0Y0 Elastmeter
100, used successfu'l'ly by Fensury (1985), is such a pressuremeter.
Moreover, the LVDT system of measuring change in radius lends itself
to automatic data acquisition. The pressuremeter components are
illustrated in Plate 3.2.
56
As the maximum appl'ied pressure in this study was only 2.5
14Pa, the thin rubber membrane developed for soft ground by the 0Y0
Corporation, Japan, was used (Onya, 1982). Thi s membrane, in the
unstressed condi tj on , has an outsj de dÍ ameter of 70 rnm and a wal I
th.ickness of 4 nrm. When instal led on the pressuremeter, the membrane
has an effective ìength of 390 rnm, giving a length to djameter ratio
(L/D) of 5.6. Accord'ing to Bagueìin et â1., (1978), the minimum
accepted L/D for this type of pressuremeter is four.
In order to determine r and ri in Equation (2.43) (the current
and initial cavity radius, respectively), the movement of the caliper
arms, which are connected to the core of an LVDT (see Fig. 3.2), must
be correlated to the inner radius of the membrane (since the spring
I oaded cal i per arms are al ways j n contact wi th the i nsi de surface
of the membrane). In addition, the thjckness of the membrane must
be accounted for to calculate the outside radius of the membrane (which
i s assumed equa'l to the cavi ty radi us ) .
The movement of the caì iper arms ' in uni son ' causes the
core of the LVDT to move within the differential transformer. As
the term LVDT Ímplies (linear vo'ltage differential transformer) the
rel a ti onshi p between the d'ispì acement of the core and the vo'l tage
output from the dífferential transformer js linear. Therefore, what
is needed is a relationship between X (the rod displacement) and Ri,
the radius being measured by the caliper arms (Fig. 3.3). From geometry
(Fig. 3.3):
X = 25 sine mm
or sine = X/25"
where o = angle of rotatíon of the caliper arm.
(3.1)
Therefore , R, the rad'ial di spì acement of the
expressed as:
R=c+d-a=50sino+6coso-6mm
From Equation (¡. t), and using the identity sinZe + 66529 = 1'
tffiSubstituting Equations (S.tLann3.3) into (3'2) vields:
R = 2x - 6 I - /t - tä12 I * .
+Rmm
Fq + 16mm
57
feel er poi nt, rnây be
(3.2)
cose =
The di stance between the two pi vots of the ca] i per arms
is gZ mn (Fig. 3.2). As the two pivots are symmetrìc wjth respect
to the pressuremeter axis, the distance from the pivot (point 0, Fig'
3.3) to the pressuremeter axi s i s 16 rrl'rì. Therefore, the radíus, as
measured by the caìiper arm' Ri, related to the rod displacement X,
is:
(3.3)
(3.4)
(3.5)
R1=16+6
=2X+6
As Fi gs. 3.2 and 3.3 i I I ustrate, when one cal i per arm moves and the
other is fjxed in its original position, then X wilì equaì half the
travel of the LVDT core directly. When both caliper arms are movìng
in unjson, aS in the actual operation of the pressuremeter, then the
pulley system (see Fjg. 3.2) w'ill result in an average X (average
of the two rod di spl acements ) bei ng refl ected i n the LVDT core
disp'lacement. And, if one caliper arm moves in exactìy the same
djstance as the other moves out, the two rods will dispìace relatjve
sin2e
58
to each other but the position of the pulley, and hence of the LVDT
core, wi I I not change.
3.2.2.1 CaTibration of the Caliper Arm - LVDT System
In order to determine Ri, the internal radius of the rubber
membrane, a relatjonshjp has to be developed between Rn, the reading
on the dig'itaì indicator connected to the LVDT and X, which represents
the travel of the LVDT. To do this, a caljbration ring with four
preciseìy mach'ined inside diameters was fabricated in the Civil
Eng'ineerìng Machine Shop, University of l4anitoba (Plate 3.3). The
range in diameters of the cal'ibration ring covered the entire range
in movement of the cafiper arms during a test. The four diameters
of the caljlbration ring were measured in the cold room with a precision
micrometer (r 0.01 mm); the correspondìng radìi are as follows:
Radj us Setti ngNo.
Radi us
33.50038.48541 .98045.995
To derive the cal'ibration between Rn and X, and thus between
Ri and X , the di gi ta'l i ndi cator zero was set wj th the smal I est
caljbration ring diameter (radius setting no. 1) and the gain, or
span, set on the ìargest ring diameter (radius settìng no. 4). The
calibration rìng waS slid aìong the core of the pressuremeter, -as
illustrated in Plate 3.3. Digital indicator read'ings were then taken
on the two intermedÍate settings (no. 2 and 3) to check the ìinearity
of the system (i.e. the Ri calculated from the d'igital indicator
reading, Rn, was compared to the actual (measured) diameter).
1
234
59
To illustrate the calibration procedure, data from síngle
stage Test # 9 will be used as an example. In setting the zero and
gain potentiometers, Rn for radius setting no. 1 was set to 0.05 (zero)
and Rn for radius sett'ing no. 4 was set to 12.80 (gain). (These Rn
val ues for zero and gai n correspond to those read after the
pressuremeter had been cal'ibrated with the original 0Y0 two diameter
calibration ¡ing (0hya,1982).) To obtajn the relationsh'ip between
Rn and X, the X values corresponding to radius setting no' 1 (rad'ius
= 33.500 mm) and radjus setting no. 4 (radius = 45.995 mm) had to
be back-calculated from Equation (3.5). These values are X - 5.833
mm for Ri = 33.500 mm and X - 12.392 for Ri = 45.995 rm. Therefore'
using these two points, the linear equat'ion can be derived:
X=C1+C2Rnmm (3.6)
where: Cl = 5.8077
CZ = 0.5144 for Test # 9
Now, in order to check the calibration of the pressuremeter
caliper arms, readings from the two intermediate rad'ius settings were
taken and the equivalent Ri calculated from Equations (S.O¡ and (3.5).
The resul ts from Test # 9 are:
Rn X (mm) Ri (mm)Radi us Setti ngNo.
2
3
5.098. 67
8.4260L0 .267 5
38. 50042.005
Measured Radi us(mm)
38.48541.980
Therefore, based on these two points, the maximum error in nonlinearity
is in the order of 0.025 mm. All of the tests carried out in this
study were wi thi n thj s range . The pressuremeter radi us measuri ng
system, therefore, is considered to be extremely accurate.
60
The drift in radìus reading with time t,/as found to be almost
negligible; as part of the calibration procedure, the Rn readings
versus radius were checked with the calibration ring immediately after
each test. For Test # g" which was 26 days in duration, the before
test and after test read'ings are as follows:
Radius Setting No. Rn (Before Test) Rn (After Test)
1
z3
4
(Note: Rn readings may be read on the dig'ita1 indicator to t 0.005)
0. 055. 098.67
12.80
0.065.1158.67
12.775
The maximum drift occurred
of about 52 days duration.
for this test are:
in Test # 8, which was
The before and after
a sinqle stage test
cal i brati on readi ngs
Radius Sett'ing No. Rn (Before Test) Rn (After Test)
1
234
0. 055.088. 65
12.80
0.255.2I8.7 2
12.80
By taking an average of the before and after readings, the
maximum error is in the order of 0.10 mm. This maximum error only
applies at the beginninq of the test (small Rn values), as the upper
end of the calibration (higher Rn values) did not drift. The caìiper
arm radjus measuring system in these pressuremeters, iS therefore,
both accurate and stable over an extended period of time.
3.2.2.2 Calibration for kmbrane Thickness
The cal ibrations for membration thickness and for creep
61
of the membrane with time during a creep test were carried out'in
five thick-walled steel tubes, wjth inside rad'iì ranging from 37'84
to 47.58 mm (Plate 3.4). The tubes were honed to a tolerance jn the
inside djameter of t 0.01 mm. The diameters were again measured jn
the cold room using the precision micrometer, accurate to t 0'01 mm'
The inside radii of the five tubes were determined to be:
Tube No. Ro (mm) (lnside Radius)
37 .8439. 63541.34544.40547. 58
The calibrations for membrane thickness and change in membrane
thjckness with time were carried out separately. To obtain the membrane
thickness versus Rn correction (without membrane compression ) , the
pressuremeter was placed inside each of the five steel tubes (Plate
3.5); the membrane was brought into contact with the steel tube by
increasing the pressure Ín 35 kPa increments, held for 1 minute. l'lhen
contact of the membrane with the steel tube was first made, (w'ithout
compression of the membrane), the corresponding Rn reading was noted.
The Rn reading was converted to an inside radjus (R1) wìth Equat'ions
(S.S¡ and (3.6). Since the ínside radius of the membrane was now
known, and the outside radius was equaì to the inside radius of the
steel tube, Rq, then:
1
2
3
45
s = n tt&-rorlz - tfulzl cmz ,
s/tr = ttfulz - t$¡lzl cnlor
(3.7)
6Z
vJhere S = cross sectional area of the membrane'
(Note: the cross sectional area was calculated jn cm2 to be consjstent
with 0y0 Corporatìon's instruction manual and the paper by Ohya,1982)'
The cross sectional area of the membrane d'ivided by pi (S/¡) was then
cal cul ated for each steel tube, before and after the pressuremeter
test. l{hen S/r versus R¡ was plotted, a linear relat'ionship was found
(ris. 3.4):
S/¡ = C5 + C6 Rn cn?
where: C5 = 2.283
(3.8)
C6 = 0.0102 for Test # 9
The change in membrane thickness with time calibration test
involves two steps. The pressuremeter was first of all inflated under
a small pressure in steel tube # 2 so that contact of the outside
of the membrane with the inside of the steel tube was made. This
Rn reading, assuming that no compress'ion of the membrane had taken
p1ace, represented the zero reading for the calibration test. Next,
the pressure was then immedjately increased to the test pressure,
and changes in Rn readings were taken with time. The change in membrane
thickness with time, Pg, showed a strong correlatjon with the natural
logarithm of time, in minutes:
Pg = C3 + Cq ln(t) mm (3.e)
For Test # 9, the change in membrane thickness test was carried out
overnight in steel tube No. 2 to a total tjme of 910 minutes. _The
curve was plotted as Fig. 3.5, and the coefficients were determined
to be: C3 = 0.0485 and C4 = 0.0054.
If the change'in membrane thickness with time was found
to be neg'l i gi b'l e after about the f i rst 5 mi nutes , the tì me-dependent
R, = (Ri - Pg)/10.0 cm
where R5 = coFrected inside radius.
Then, the outside radjus is calculated:
63
term in Equation (3.9) was droppe¿ (i.e.C4 set equal to zero).
In order to calculate the outside rad'ius of the membrane,
Ro, during a pressuremeter creep test, the two membrane corrections
(Equat.ions 3.8 and 3.9) are appìied separate'ly. First, the membrane
thickness correct'ion is app'l'ied:
(3.10)
Ro=(Ç- -?)10.0 nrn (3.11)
As Equation (3.11) illustrates, the R! term dominates the determination
of Ro. Since the maximum error in determining Rs from all the tests
was on the order of t 0.10 ffiffi, it is believed that the maximum error
ìn Ro for all the tests was within t 0.10 nml.
As a summary, a flow chart (fig. 3.6) illustrates all the
equations and calibrations which are necessary to convert a dig'ita1
indjcator reading, Rn, to the outside rad'ius of the membrane (or cavity
rad'ius ) Ro.
3.2.2.3 hmbrane Resistance Comection
In order to calculate the true pressure being app'lied to
the cavity wall, the resistance of the membrane, as it expands, must
be determined and subtracted from the applied pressure. To determine
thj s correction, the membrane was inflated in ai r to its maximum
expansion with 20 kPa increments, each increment held for 60 minutes.
These tests were conducted in the cold room at -2"C. Plots of the
60 min readings of Rn versus applied pressure for Tests # I and #
9 (both before and inrnediately after the test) are shown on Fig. 3.7.
64
It may be noted that the "before test" resi stance i s
approxìmateìy 20 to 30 kPa higher than the "after test" resistance
at the same expans'ion. Therefore, the membrane has lost some of its
stiffness, particuìarìy in the lower end of the deformation range.
Since Tests # I and # 9 were the two longests tests (5? days and 26
days in durat'ion, respectiveìy) these "after test" curves represent
the maximum loss of stiffness. The before and after curves for all
the other tests fal I between these two I jmits, wi th "before test"
curves usualìy beìng very close to the "before test" curves for Tests
# 8 and # 9 shown. In order to compensate for this loss of stiffness
duri ng the test, a composi te curve was drawn ( Fi g. 3.7 ) . Thi s curve
refl ects the membrane resi stance of the "before test" curves earl y
in the test, and then reflects the less stiff "after teSt" curVes
near the end of the test, as the membrane expands to'its maximum radjus.
For comparison, the recomnended curve from Ohya (tggZ) ts presented.
His tests were conducted in steel tubes at room temperature. As is
illustrated, this curve c'losely follows the "before test" curves,
ind'icat'ing that the change to cold temperature has not affected the
membrane resistance to any great degree.
All tests in thjs study (both singìe stage and multistage)
were carried out under the assumption that the membrane resistance
is dependent only on the curren't membrane radius usìng the composite
curve. Moreover, the internal pressure'in the probe was adiusted
during the test
order to gi ve
Therefore:
account for the current membrane res'istance, in
constant appìied pressure on the cavity wall.
to
a
Pa = Pcav + Rg/1000.0 MPa (3.12)
ryhere Pu
Pcuv
Rg
Thi s correction was
notjceable change ìn
65
= applìed pressure MPa
= pressure applied to the cavity wall MPa
= membrane resistance correction
= 51.28 + 30.18 ln Rn kPa.
used for al I of the tests, ôs there was no
resistance from membrane to membrane.
3.2.3 Data Acquisition System
In order to avoi d bei ng unabl e to obtai n test data ,
particu'larly overnight, the pressuremeter pressure transducers and
iemperature sensing device sìgnal conditioners were all connected
to a data acqu'isjtion system. Comp'lete creep-tjme curves were obtained'
whìch is particularly important for the numerjcal process'ing procedures
as discussed in Chapter 5.
The data acqu'i s i t'ion system used i n thi s study was a 32
channel Neff 620S multiplexer, with a L2 bit anaìog to d'igital
converter, connected to a Hewlett-Packard 9825 A desk top computer.
Calibration factors for each device were entered into the computer
memory, So that output from the device was read in units of
dìsp'lacement, temperature or stress directly. A real time clock waS
connected to the computer so that all the channels could be scanned
automatical ly at preset time interval s. The data was recorded on
to a cassette tape as scann'ing proceeded. The scann'ing i nterval s
most common'ly used in this testing program are as follows:
start of test to 20 m'inutes
20 m'inutes to 30 minutes
30 minutes to 120 minutes
I minute interval s
2 minute intervals
5 minute intervals
66
120 minutes to 300 m'inutes t0 minute intervals
300 mi nutes on - 20 minute or 30 minute intervals'
Inthelongers.ingìestagetests,thescanninqinterval
wasincreasedtolto2hoursafterafewdays.Inconclus.ion,the
Nef f 12 bi t anal og to d'i g.i ta1 converter aì ways gave a measurement
resolution which was w'ithin the determined accuracy range of that
part'icul ar devi ce.
3.2.4 Temperature kasurerPnt
Twotypesoftemperaturesensingdeviceswereusedinthis
study; thermi stors and thermocoupìes. The thermi stors were 0mega
Engineering I inear response probes, l4odel 0L-701. The therm'i stor
sensor, actual I y composed of two el ements , and the accompany'i ng
ì.inearizing cìrcuit are shown in Fig. 3.8. The vo'ltage drop measured
across Ri is linearly related to the temperature of the sensor in
the range 50"c to -30"c. Type T thermocouples (copper-constantan),
withthemeasur.ingjunct.ionsweldedjnmercury'wereusedextens.ively
i n th j s study. They were connected to a Kaye Instruments 'ice po'int
reference, as'indicated in Fig' 3'1'
Formaximumaccuracy,eachtherm.istorandthermocoupìewas
cal j brated in the temperature ranqe -10'c to 0oc in a temperature
bath. Therefore, rather than using the manufacturer's general equat'ion'
each therm'istor and thermocoup'le had its own calibration factor
Calibrat'ions were done twice; once at the beginning and
agai n at about the mj ddl e of the testì ng program' The fj rst
calibrations were done using a Rosemount p'latinum resjstance temperature
standard,readwithaMuellerBridge.Theaccuracyofthissystem
67
is rated to be within t 0.01'C. The thermistors and thermocouples
were calibrated the second time with a Brooklyn Calorimeter Thermometer,
with a rated accuracy of t 0.02"C. In summary, the results of both
calibrations showed that the thermistors could be considered accurate
to t 0.10"C and the thermocoupìes to t 0.15'C. These accuracy figures
includes dev'iat'ion from linearity, instability and drÍft with time.
3.2.5 Pressure Transducers and Pressure Regulators
The pressure transducers used in thi s study were Dyn'i sco
Model PT370 DHF, with a pressure range from 0 to 7 MPa. The compensated
temperature range ís -18'C to 65'C. Tero drjft and nonl inearity,
therefore, are not a problem at the testing temperature of -2"C.
As w'ith the temperature sensìng dev'ices, the pressure
transducers were calibrated twjce; once at the begìnning and again
at about the middle of the testing program. The cal'ibrations were
done with a dead load tester in the cold room at a temperature of
-2"C. The accuracy of these pressure transducers , i nc1 udi ng
nonlinearity, hysteres'is and repeatability is within t 10 kPa.
The compressed dry nitrogen gas used to inflate the
pressuremeter membrane was regu'lated with Tescom 44-1100 series
reguì ators. They are sel f-contaj ned, di rect-acting and pressure
reducing with an adjustabìe vent valve. As well as having excellent
setting sensitiv'ity, these reguìators, when set on a test pressure
did not allow a pressure drjft of more than I 10 kPa over pe.'iãCs
as ìong as 12 hours. The regulators and nitrogen tank are illustrated
in Plate 3.6.
68
3.?.6 Dri I I ing and Sampl ing Equipnent
As the pressuremeters used i n thi s study are not of the
sel f boring type, a proper'ly sized, smooth, thermal ly undi sturbed
pilot hole had to be drilled in the centre of the ice sample for the
pressuremeter. In addition, core samp'les of the ice had to be obtajned
for visual classification and ice density determinations. The ideal
would have been to combine the pressuremeter pilot hole driììing process
and the sampling process into one operation. The modified CRREL core
barrel , used successfully by Roggensack (I977 ) and Savigny ( 1980)
for sampling ice-rich permafrost, showed promise in this regard.
Two different sized modified CRREL type core barrels were
fabricated in the Civil Engineering Machine Shop at the Un'iversity
of Man j toba. One was des'igned to dri I I a 104 rrm di ameter hol e and
yie1d core of 69 mm diameter (Plate 3.7), while the other was des'igned
to drill a 77 mm diameter hole and g'ive core 43 mm in diameter (Plate
3.8). The smaller barrel was des'igned to drill the pressuremeter
pilot hole, while the larger barrel was designed for taking larger
core samples, perhaps for triaxial test'ing. Both of these core barrels
were turned with a high capacity e'lectric drill. The rate of rotation
was approximately 300 rpm (Plate 3.9).
As with any new testing program, it usua'l1y takes a few
tests to "iron the wrinkles out" and develop a systematic methodology
of testing. In this study, it was found that the 77 nn diameter c_ore
barrel drilled a very high qualìty hoìe, but cored poor quaìity samples.
(Problems with coring mass'ive ice and obtaining undisturbed samples
with thjs type of core barrel were, in fact, reported by Roggensack'
!977,1979; and Savigny, 1980.) After Tests # 2, # 3 and # 4, jt
69
was dec j ded to abandon samp'l i ng duri ng the pì l ot hol e dri 'l ì i ng and
take l arger di ameter sampl es wi th the 'larger core barrel , as requ'i red ,
after the particular test. A hole was drjlled wjth the 104 rnm djameter
core barrel about midway between the pressuremeter cavìty and the
wall of the tank (P1ate 3.9). The hole was drilled typicaì'ly to a
depth of about 600 rlìm, so that four samples approximateìy 100 to i30
mm jn'ìength after trimming could be obtajned. The qualìty of these
core samples i s i I I ustrated in Plate 3.10. No si gns of di sturbance
from expansion of the cavíty durìng the pressuremeter test were detected
in any of the samples. The equ'ipment used to trim the ends of the
core samples ìs illustrated in Plate 3.11. Results of the'ice density
measurements are gìven in Chapter 4.
As with the sampling, the pilot hole drilling technìque
was perfected as testing progressed' At first, a short core barrel
(about 250 mm long) was used 'in conjunction with a drilìing stand
which was mounted on top of the tank. The pilot hole, typically drilled
to a depth of about 750 lrìm, had to be drj I led in three runs. Thi s
procedure, although it produced a high quaìity hole, took a lot of
time. A much better method proved to be using the longer core barrel
(P'late 3.8), which could drill the entjre pi'lot hole in one run.
Vertical alignment was checked before and during the driìlìng process
with a carpenter's level. The'long barrel method took about 5 minutes
to drill the hole, versus about 45 minutes for the short barrel method.
In all cases, no me'lting of the ice took pìace during driì'lìng. The
cuttings came up as "snow" and tiny ice ch'ips (Pìate 3.9).
The ratio of the diameter of the undisturbed test cavity
to the diameter of the unínflated pressuremeter probe (often used
70
as a measure of the quality or calibration of the test cavity) in
this testing program was invariably about 1.10. According to Briaud
and Gambin (1983), a well calibrated hole should have a ratjo which
falls between 1.03 and L.20. Therefore, it may be concluded that
the p'ilot holes drilled in th'is test'ing program were well caljbrated
and the surroundjng Íce was not disturbed thermalìy.
3.3 ICE SAHPLE PREPARATIOH
In order to make reproduci b'l e , homogeneous and i sotropi c
samples of ice in the laboratory, the method used by Sego ( 1980),
and here termed the seed ice crystaì technique, was adopted. Because
of the re'latÍve'ly large size of the sampìes used Ín this study (890
mm diameter by 800 mm deep) the Sego technique could not be followed
precìsely, and some improvizations had to be made. It is believed,
however, that the improvizations d'id not seriousìy affect the
reproducib'iìity, homogene'ity or isotropy of the samp'les.
Briefly, the seed ice crysta'l technique 'invol ves pack'ing
a samp'le mould with sieved ice crystals (of un jform grain s'ize), pìacing
a vacuum pump on the mould and packed crystals to reduce the quantity
of entrapped a'ir in the sample, flooding the mould from the bottom
up with chilled, de-ajred deionized water and then freezing the sampìe
from the base upward by placing the mould on a cooling plate maintajned
at -30'C (Sego and Morgenstern, l983). The seed ice crystaìs act
as nucleation po'ints and cause a random orientation of the c-axis
of the individual ice crystals in the bulk sample. Moreover, thermal
strajns due to freezing are reduced and relieved by using the prepacked
seed ice crystals (which did not undergo a phase change) and by a'llowing
71
the sampie to expand vertjca'l1y at the top. Prior to sampìe making,
the sides of the mould had been greased with petroleum ielly to prevent
the samp'le from freezing to the mould.
The ice making procedure used in th'is study is outlined
below, step by step. The procedure is subd'ivided into two sections;
i) preparations for ice making and 2) making and freezing the ice
samp'le.
I Preparations for lce Makjng
1. The cold room thermostat was set to give an average temperature
close to 0"C. This temperature was checked by pìac'ing pails of
. water in the cold room and monitoring them. The temperature was
judged to be set correctly when thin layers of ice began to form
on the surface.
2. The water reservoir (Plate 3.i2) was filled with enough cold tap
water to fl ood the sampl e. Each sampl e requÍ red approximate'ly
0.17 m3 of porewater.
3. The porewater was chjlled to 0oC. This usuaì'ly took two to three
days.
4. 0n the morning of sample making, the sjdes of the tank were cleaned
and coated with a thin layer of petro'leum jeì ly. As wel I , the
Tecumseh condensing unit was turned on to freeze the sand around
the coils and to depress the temperature of the base of the tank.
5. The thermocouples mounted on the thermocouple stick were checked
to make sure they were still fastened proper'ly and workìng.
6. Fourteen, S0 kg bags of fine grained party ice were purchased
f rom Arcti c Ice Co. Ltd. of l,li nni peg. Th j s 'ice , whi ch was used
aS the seed ice crystals, was made from filtered tap water. All
II.
1.
72
of the crystals, which were sub-angular to angu'lar in shape' were
passed through a half inch sieve and were retained on a quarter
inch sieve. Therefore, all of the ice crystals were between 13
and 6.5 mm in size. The chemical propertiesof the tap water and
the seed ice crystals are given in Table 3.1.
Makinq and Freezinq the Sample
The hose from the porewater reservoir waS pìaced jn the bottom
of the tank and the tap control'ling the flow was opened.
Immedìately, two bags of ice were poured into the tank and compacted
i00 times with the specjally constructed tamper (Plate 3.12).
The thermocoupìe string was then pushed into the compacted ice,
and into contact with the base of the tank. Figure 3.1 illustrates
the standard location of the thermocoupìe string.
The ice crystals were then poured 'into the tank and compacted,
bag by bag. Each bag formed a loose lift of ice crysta'ls about
50 to 75 mm thick. Each lift of ice crystals were tamped 100
ti mes w'ith the speci a1 tamPer.
The level of the compacted ice crysta'ls was brought to within
about 25 to 50 mm of the topof the tank. When the porewater had
just flooded the top crystals, the tap was shut off and the hose
removed. Due to the long tjme required to de-air a sample of
this size (on the order of days), a vacuum pump was not used.
0f the 12 sampìes 'in this testing program, the average ratio of
the volume of porewater added to the volume of seed ice solids
('i .e. void ratio) was 0.533 (assuming 100% saturat'ion). The maximum
void ratio was 0.659 wh'ile the minimum ratio was 0.429.
The ice samp'le temperature and room temperature were monitored
2.
3.
4.
5.
73
c'l oseì y unti I the sampl e was compl etel y frozen . The room
temperature waS mai ntai ned as cl ose to 0oC as poss'i b'le , So that
neither significant freezing nor thawing occurred on the sample
sides and top. The top of the sampìe was usual'ly maintained as
slushy ice, easy to poke a finger into. As the freezìng front
progressed from the base to the top of the sample,300 mm wide
strips of 50 mm thick duct insulation were placed around the outside
of the tank to retard heat flow into the part of the sample already
frozen.
The freezÍng of sample # 2 can serve as an illustration of the' effectiveness of the freezing techniques. Two strings of
thermocoupl es , as wel I as two thermi stors , were pì aced i n thi s
samp'le to check for progression of the freezing front and
temperature distribution in the sampìe during freezing (layout
shown in Fig. 3.9). As may be seen in Fig. 3.10, the freezing
front came up very uniformly.
0f the LZ samples which were prepared, the average freez'ing tjme
was 180 hours (7.5 days), wjth a variation from 139 to 238 hours
( 5.8 to 9.9 days ) .
6. When freezing was complete, the Tecumseh condensing unit was either
turned off or swjtched over to another tank to make another samp'le.
If another samp'le was to be made inrnediately, the f j rst samp'le
was packed with 150 mm thick "pilìows" of fibreg'lass insulation
to retard heat flow. The depressed temperature condjtfons
inrnediateìy after freezing (see Fig. 3.10) and the extra insulation
prevented thawing of the first samp'le from occurring whjle the
second sample was being frozen.
74
The sampì es produced i n thi s way were reproduci bl e and
homogeneous as the test results and ice density measurements presented
in Chapter 4 indicate. Moreover, examination of thin sections of
ice core under p'lane poìarized ì ight ind jcated random'ly oriented ice
crysta'ls (whjch suogests that the ice was isotropic). The ice crystals,
however, were not uniform in size. The crystaìs whjch formed in pore
spaces were genera'l 'ly smal I er than the seed crystal s . Ti ny bubbl es ,
about 1 nm in size, were noted around the grain boundaríes of the
seed ice crystals. The ice was genera'lly, however, quite clear.
It may be concl uded , that i n spi te of the fact that tap
water and not distilled water was used to form the ice, the porewater
was not deaired, and the ice crystaìs making up the sampìe were of
non-uni form si ze , the sampì es were neverthel ess reproduci b'l e,
homogeneous, and i sotropÍc.
3.4 TEST PROCEDURES
The procedures used to prepare for and carry out both si'ng'le
stage and multistage pressuremeter creep tests are discussed in thjs
subsection. The procedures used for single stage tests are discussed
first, while the subsection on the multistage tests mainìy focuses
on the d'ifferences between singìe stage and multistage tests.
3.4.1 Single Stage Tests
0nce the samp'le was completeìy frozen and ready to test'
the thermostat for the cold room was adjusted so that the temperature
in the sampìe stabilized as close to -2"C as possible. Fans were
pìaced in the corners of the cold room to enhance air cjrculation
75
and thus promote uniform temperature conditions. The tìme taken for
the sample to come to thermal equiìibrium (i.e. from the condition
indicated in Fjg.3.10 at the end of freezing, to a uniform samp'le
temperature of -2"c) usual]y ranged from two to four days.
As the temperature was stab'i'lizing jn the samp'le, the
pressuremeter cal i brati ons were undertaken . The step by step
cal i brati on procedure was as fol'lows:
i) Three days before the proposed start of the test, the zero and
gain were set on the pressuremeter signaì conditjoner box using
the calibratjon ring. The ring was left to compress the caìiper
arms of the probe for two days (to the morning before the test
day) to check the cal i per arm-LVDT-si gnaì condi t'i oner system
for drift and repeatability. The ring was periodically shjfted
to all four radius settings du¡ing th'is period. Typ'icaìly, the
settings did not drift by more than 0.01 Rn units (equjvalent
to about 0.01 mm)
2) 0n the morning of the day before the start of the test, the
pressuremeter membrane calibrations were started. Fjrst, final
readi ngs for al I four rad'i i of the cal i I brat j on ri ng lvere noted
and the ri ng was removed . Next , the membrane was carefu'l 1 y
assembled onto the pressuremeter core wìth the speciaì wrenches
( Pl ate 3.2) .
3) Next, the pressuremeter was pìaced in the hoìding stand and-the
membrane resistance test (as per Section 3.2) was car¡ied out'
4) Inrmediately after the membrane resi stance test was completed,
the membrane cross sectional area test (as per Section 3.2) was
carried out to determine the S/r versus R¡ relationship'
76
5) Hhen this test was finished, the membrane was inflated in Tube
# 2 to the test pressure and left overnight. Readings of Rn
versus time were taken to develop the membrane change in thickness
correlation. In additjon, any leaks in the membrane could be
detected at th'is time.
6) 0n the morning of the start of the test, sample temperatures
were checked for uniformity, the excitation vo'ltages for the
s'ignal cond'itioners were checked and the dri'l1ing equìpment was
moved into the cold room. After the dri'l1ing equipment had cooled
down to below zero, so that it would not induce any melting when
in contact with the ice, the pilot hole was drilled as described
i n Secti on 3.2.6. Two thermi stors were p1 aced i n the cav'ity
(one at the top and one at the bottom) and the cavity was sealed
wi th a smal I pl asti c bag ful I of fi bregì ass i nsul ati on. The
temperature of these thermi stors v.Jas conti nuousì y mon'itored to
check for thermal equì'l i bri um j n the cav'ity. The cavi ty reached
thermal equiìibrium (i.e. the sample temperature) usually within
aboutltoZhours.
WhiIe the cavity was approaching thermal equi'librium, another
membrane cross-sectional area test was performed. The results
sometimes deviated s'lightly from the first test. If they did'
the results of the latter test were used in the calibration.
If the test was to last longer than about 2 to 3 days, a specia_lly
prepared rigid styrofoam lid was placed on the top of the tank
and we'ighted down. This lid effectiveìy sealed the top of the
samp'le and prevented subl imati on 'in the 'long term tests. In
the shorter term tests, the lid was left off so that any crack
7)
8)
77
formation could be observed (some cracking was noted in a few
of the hi gh pressure tests , whi ch were al so the shortest i n
durati on ) .
9) When the cavity reached thermal equi'librium, the thermistors
were removed and mounted on the pressuremeter with electrjcal
tape. The pressuremeter was then placed in the cavity. The
annular space at the top of the cavity was plugged with a pìastic
bag and the top of the pressuremeter was wrapped with duct
insulation (P'late 3.13). This effectìvely prevented deviations
i n the room temperature from bei ng transmi tted through the
pressuremeter to the cavity.
10) At an appropriate tìme, the test was started. The membrane was
first seated on the walIs of the cavity under an app'lied pressure
of about 150 kPa. This took approximately 30 seconds. After
the membrane was properìy seated, the applied pressure was adjusted
to the test pressure as qui ck'l y as possi bl e. It usuaì ly took
about 1 minute to set the regu'lator to the proper app'l'ied pressure
(Pa = Pcav. + Rn/1000.0 MPa) ( s. tz)
11) During the test, readings of Rn, cavÍty pressure and temperature
were recorded according to the schedule presented in Section
3.2.3. The temperatures were measured by the three thermocoupìes
closest to the cavity (Fig. 3.1) and one of the thermistors mounted
on the pressuremeter. 0ften, addi tional thermocoupl es or
thermistors were pìaced in the samp'le to check how uniform _the
ice temperature was. In all of the tests, the temperatures did
not deviate from -2.0oC by more than I 0.2"C. Temperature versus
time records for all of the tests are given in Appendix A.
78
12) After the test was comp'leted, the pressuremeter was removed from
the cavity and all of the calibrations were repeated immediately.
(In the latter tests, the membrane resjstance calibration was
not repeated as the Composite Curve had already been developed.)
As well, the cavity was examjned for any cracks' The ìarge
di ameter core samp'l es were then taken; they were i nspected
v'isually and had their densities determined.
3.4.2 h¡ltistage Tests
As discussed in the introductory remarks in thjs subsection,
on'ly the d'ifferences between the procedures for a single stage and
mul ti stage test are i I I ustrated here.
For a pressuremeter creep test with the 0Y0 tlastmeter 100'
the cross sectional area and the membrane resistance corrections are
assumed to be a function of Rn only (Equations 3.8 and 3.12), and
not dependent on the hì story of appl ied stress app'l ications.
caljbratjons, therefore, were done in the same manner for mult'istage
tests as they were for single stage tests. The change in membrane
thicknesscorrectÍon,however,doesdependuponthehistoryofstress.
The general procedure for conducting change in membrane
thickness tests fol lowed the sing'le stage test procedures except
pressure increments, which corresponded to the proposed increments
in the test, were used. The first pressure increment, if ']*schedu'ling allowed, was agaÍn left on overnight and changes in the
digital indicator reading, Rn, were recorded. Each of the remaining
pressure increments was then held constant for a maximum time of only
l5 minutes because it was found that the change in membrane thickness
79
for the second and remaining pressure increments was almost negììgibìe
compared to the first increment (see Table 3.2). It appears therefore
that most of the membrane creep takes p'lace in the ear'ly stages of
the first increment. The membrane thickness correction for a multistage
test, therefore, is:
Pn = MTI(K) + MT2(K) x ln(t) mm (3'13)
where: MT1(K) and MT2(K) are the coefficients for the Kth
stage (K = I to N, where N, is the number of stages)
t = time in minutes
In the multistage tests, the correction for the first pressure increment
ivas usually found to be a function of time, whereas in the second
to final pressure increments MT2(K) could usual'ly be set to zero' A
typ'ical set of correction coefficients (for Test # 10) is given in
Table 3.2.
The other difference in test procedures between a sing]e
stage and a mul t'i stage test i s that the pressure must be 'increased
in a mul tì stage test at predetermined times during the test' The
f.inal reading for the preced'ing stage became the zero t'ime reading
for the next stage. The pressure adjustment was usualìy completed
withinaminute,soalmìnutereadingforthenextstagecouldbeobtai ned.
No attempt has been made in thi s study to measure the
instantaneous response (elastic and plastic) of the ice (Seg0,1980)
and on'ly creep deformations are cons'idered in thi s thesi s. Creep
strains are assumed to cornrnence after L minute, as Ladanyi and Eckardt
( 1983) assumed.
80
TABLE 3.X
Chemica'l Properties of CÍty ofand Arctic. Ice Co" Ltd.
Winnipeg Tap Haten
Ice Crystal s
Tap tlater(1)
(mq/l )
0. 90
83
8.0
<0.04
2
<10
22.5
6.2
1.8
1.4
0.06
0.01
Parameter
Fl uori de
Total Hardness (CaC03)
pH
Ni trateChl ori de
Sul fateCalcium
Magnes i um
Sodi um
Potassi um
I ron
Man gane se
Ice Crystals(2)
(mqll )
4.27
8. 46
N.A.
0.02
2
1
5
0. 54
0. 63
N.A.
0. 08
0.02
N. A. not available.
(1) data from "l.later Qual íty l,lonitoring Report", 1984,
Ci ty of l,Ji nn'ipeg ï,laterworks and l,laste DÍ sposaì
Department, Laboratory Services Branch.
- average values of 1984 given.
(2) data from Arctjc Ice Co. Ltd. ; report prepared
by tll.M. Ward Technical Services, Aug. 1982.
81
TABLE 3.2
Results of Change in kmbrane Thickness Test
for &4ultistage Test 10
Stage 1
Stage 2
Stage 3
Stage 4
Stage 5
E1 apsed Time(mjn)
01
23
5
11203040
2885?8924
Pressure(MPa)
0. 1091.5321.5591.5591.5731.5731. 5631.5731.5731.5591. 555i.550
r4T1 ( 1)
1 .8501 .8457.827
MT1 (2)
2.0262.0672.067
MTl (3)
?..3622.3532.344
MT1 (4)
2.6252.6162.607
MTl (5)
ÀRn(mm)
0.00.050.050.050.060.060.070. 070.070.080.080.09
= 0.0510
0. i00. i050. 105
= 0. 105
0. 1050. 1050. 105
= 0.105
0. 1050. 1050. 105
= 0.105
0. 1050. 1050. 105
= 0.105
1
3
15
1
5
15
1
5
15
1
5
15
(membrane in contact,no compression)
MTz (1) = 0.s656(1)
F,lTz (2) = 0.0
MTZ (3) = 0.0
MTz (4) = 0.0
MTZ (5) = 0.0
(1) Pg = MTl (K) + HTz (K) x ln (t) mm
TO DATAACOUrSrltON
coLD ROOWWALL
ESs. TRANg.SIG¡{AL
CONOITIONER
THERIIISTORSIGNA L
CONOITIONER
THERgOCOUPLtcE
POINT
REFERES{CE
PRE SSUR ETRAf{SDUCER
COLD ROOMWALL
OYO ELASfIIETER.IOO PRESSIJREUETER
INSULATION
THI
T¿T
T3
T?
TI
INSULATION
Figure 3.1 Schematic la.yout of pressuremeter testing system
HEAT EXCHANGE
INSULATED LID
lHE
l
ORY NITROOENSUPPLY
LEGENO
TI-T5-THERMOCOUPLE9THI - THERMIgYOR
SCALE
llll
O IOO ?OO 3OO mm
Nole: Tonk ond Pressur@m616rDrown to Scol6
rr{suLATloN
oof\)
Col
lper
Arm
Arm
Hol
der
Piv
ot
F'ig
ure
3.2
0Y0
Ela
stm
eter
-100
cal
ìper
arm
sys
tem
Rod
Cor
e of
LV
DT
æ G,
84
Originol Position Extended Position
l6 mm
Fiqure 3.3 Geometry of caliper arm-rod system
g.
l*l
e
,1-
IIIII
II
J
2.50
0
ñú
F c)
?.40
r'j^
+ o
h (Í)
Bef
ore
Tes
t
Afte
r T
est
2 .3
00o
2.?O
Oo.
o2.
O
4.O
6.
0
DIG
ITA
L IN
DIC
AT
OR
Fig
ure
3.4
llem
bran
e cr
oss
sect
iona
l
S/n
=a+
bRn
a =
2.2
83b
= 0
.010
2(S
= c
ross
sec
tiona
l are
aof
the
mem
bran
e, c
m2)
8. O
lO
.O
RE
AD
ING
(R
n)
area
cal
i br
ati o
n te
st ,
S. S
. T
est
9
r2.o
o (¡
o. ro
o. oB
o. 06
o. o4
o. o2
o.o o
o. 06
o. o5
o. 04
o. o3
o. o2
o.ot
o. oo
86
@
?"5cÍr
o
(o ) Entire Colibrotion
200 800
@ Doto Points f ro m
Colibrotion Test
" Regression Fittingof DotoPg =O.O485 + O.OO54 lnt.
(b) First Fifteen Minutes
68lO12TltulE (min)
400 600
T ¡ME (min)
Ë
5C
æ.
l6l4
Change in membraneS.S. Test 9
Fi gure 3. 5 thÍckness with time calibratjon test'
87
Di gì taì Indi catorReading Rn
Dispìacement of Rod versus Digìtaì Indicator Reading
X = C1 + C2 Rn mm Eqn. (3.6)
inside Radius of Membrane
Ri = zx + urîæ + 16 mm Eqn. (3.5)
l4embrane Thi ckness Correction
Pq = C3 + C4 ln t mm Eqn' (3'9)
Corrected Ins'ide Radi us
Rs = (Ri-Po)/tO.O cm tqn. (3.10)
Cross Sectional Area of the Membrane
S/r = C5 + C6 Rn cm2 Eqn. (S.a¡
of Membrane
x 10.0 mm Eqn. ( 3.11 )
Outs i de Rad'i us
no =/s/n * n!
Figure 3.6 Procedure for datacreep tests
processing 0Y0 Elastmeter-i00
C æ.
I (9 z. o UJ É.
E. o k ç2 o 4 J F o o
t2.o
+ o X
_tr
ro.o
Tes
t *
9 -
Bef
ore
Tes
t, 60
min
. ln
crem
enls
Tes
t *
I -
Bef
ore
Tes
t, 6O
min
. ln
crem
ents
Tes
t *
9- A
fter
Tes
l, 60
min
. ln
crem
enls
Tes
l * 8
-Afte
r T
esl,
60 m
in.
lncr
emen
ls
8.O
Com
posi
te C
olib
rolio
n C
urve
Rg=
51.2
8 +
30.
18 é
n R
n (k
Po)
Mem
bron
e R
eocl
ion
Cur
ve O
hYo
Rs
= (o
.4sf
fi.-o
.zs)
6.O
4.O
2.O
Jii';
,., /'
o.o
/
o.o
AP
PLI
ED
PR
ES
SU
RE
- kP
o
Fi g
ure
3.7
f'lem
bran
e re
acti
on c
urve
s
I
20.o
40.
o 60
.0
r,
Com
posi
le C
urve
þonr
o(re
e2)
,/,
/,/
/
80.o
loo.
o 12
0. o
t40.
o
co co
89
E out - lnput to
doto ocquisitionsystemE xcitotion
2V DC
Ther rn is torSen sor
@ nodesRl = 18,700 ohmsRZ = 35,250 ohms
R1 and R2 are pìaced on a circuit board in the power supply box
Figure 3.8 Thermistor 1 inearizing c'ircujt
90
PLAh' VIEW
ICE /WATERSURFACE AFTERSAMPLE MAKING
PROFILE
T/ce 2 ond a*3 - ThermocouPle
T6 -T 15 T hermocouPle
TH2-TH5 - Thermislors
STEEL TANK
Slring #2 ond 63;
llllO IOO 2OO 3OO mm
Scols
T lCeZ T /C#z7
T15fïzx
T14
Tr3 xTH5
112
Tll
Tro
T9
T8
17
T6
iñi6ùil-uarrotl aND HEAr EXcHANGEcotL
Figure 3.9 Thermocoupìe and thermistor layout, S'S' Test 2
9I
tE
æ,4ÞtÀoo.ot'-Bol¡Jot.Þo.t¡Jo
E.E!Ét
Þlloo.oÞ9oJt¡¡@Eû-o.trlo
? o-2TEMPERATURE (OC)
-6 -lo -t4 -18 -??
T lO - Thørmocouplø @ lO
Time in Hours(After Somple
o
roo
200
300
400
500
600
700
800
o
roo
200
300
400
500
600
700
800
úl\ú)(o
\tqf
oÉ,
2 0-2TEMPERATURE (OC)
-6 -ro -14 - t8 -2?
T l5 - ThermocouPle * l5
Time in Hours (Af terSomple Storted toFreeze)
Figure 3.i0 Temperature-depth-time plots for freezing of samplefor S.S. Test 2
= o<t99
()\K'(e
oçÉ, <r
INSULATION AND HEAT EXCHAF{GE COIL
INSULATIOt{ AND HEAT EXCHAÞ*IGE COIL
92
l¡:'
'.:ir.tl
:,:,:::.:1.
'.))
Plate 3.1 Condenser for samp'le freezing
Plate 3.2 0Y0 Elastmeter 100 pressuremeter components
Pla
te 3
.3 C
alib
ratin
g th
e ca
liper
arm
LVD
T s
yste
mP
late
3.4
Pre
ssur
emet
er c
alib
ratio
n tu
bes
\o (,
Pla
te 3
.5 In
flatin
g th
etu
be#2
fora
cal i
brat
ion
pres
sure
met
er in
mem
bran
e th
ickn
ess
Pla
te 3
.6C
ompr
esse
d dr
yre
gula
tors
for
nitr
ogen
sup
ply
and
pres
sure
the
pres
sure
met
ers
\.o Þ
95
Plate 3.7 Modified CRREL core barrel; 104 mm diameter
Plate 3.8 Modified CRREL core barrel; 77 nn d'iameter
PI a
te 3
.9 C
orin
g ic
e sa
mpl
esdi
amet
er m
odifi
edw
ith t
he 1
04 m
m
CR
RE
L co
re b
arre
lP
l ate
3.
10Ic
e sa
mpl
e co
red
with
the
104
mm
diam
eter
mod
ified
CR
RE
L co
re b
arre
l
(O Ol
97
Plate 3.11 lce core sample trimming equipment
Plate 3.12 Porewaterice sample
reservoir and ice crysta'l tamper formaking
99
CH¡TPÏER 4
PRESSUREMETER CREEP TEST RESU!-TS
4" 1 I${TRODUCTIOH
In thi s chapter, the experimental resul ts from the
pressuremeter creep tests are presented. In total, eight sing'le stage
and four multistage tests were carried out, each in a newly prepared,
undisturbed samp'le of ice. The particulars of each test, includìng
appl ied cavity pressure, duration and detai I s of the stage 'loadings
(for the multistage tests) are given in Table 4.1.
. Each test presentation includes plots of cavity radius versus
time, rate of cavity expans'ion versus time, temperature versus time
(for thermocouples and thermistors closest to the cavity) and cavity
pressure versus time. The homogeneìty of the ice is discussed jn
terms of densi ty, as measured on core sampl es; reproduci bi ì i ty j s
looked at from both the point of vjew of density as we'll as a comparison
between two tests carried out at a cavity pressure of 2.0 MPa (Tests
# 3 and # 4).
4.2 EXPERII.IENTAL RESULTS OF THE SINGLE STAGE PRESSUREI{ETER CREEP
TESTS
The cavity radius versus time curves for all the s'ing1e
stage pressuremeter creep tests have been plotted on Fig. 4.1. As
Tests # 3 and # 4 (conducted at a pressure of 2.0 MPa) plot virtually
one on top of each other, only one curve for 2.0 MPa has been shown.
The calculation of the cavity radius (Ro) for each Rn reading follows
the flow chart (for data processing 0Y0 Elastmeter-100 Creep Tests)
100
in Fig. 3.6. A summary of the calibration constants used for all
the singìe stage tests js given in Table 4.2. The composite curve
membrane resjstance calibration (Equation 3.LZ) was used for all the
tests and is not included in the table.
Figures 4.2 to 4.4 present p'lots of cavity radius versus
time, cavity pressure versus time, temperature versus time, and cavity
expansion rate versus time for Test # 4. These results are typicaì
of the singìe stage tests. The plots for the remaining single stage
tests are contained in Appendix A.
As Fig. 4.2 illustrates, the app'l'ied pressure inside the
membrane was periodically adiusted ('increased) to give a net cavity
pressure of 2.0 MPa. Each small jump in the curve indicates the poìnt
at whi ch the pressure was 'i ncreased; the subsequent smal I decrease
in cavity pressure with time is due to the increase in membrane
resistance with increasing radius. The deviation of the applied cavity
pressure from the "target" pressure is typicalìy within t 10 kPa.
The upper temperature versus time pìot shown in F'ig.4.3
actually contains information from four temperature sensing devices;
these represent thermocouples in locatjons 2, 3 and 4 on Fig. 3.1
and a thermistor mounted on the pressuremeter. Although the density
of points may make fo'lìowing the temperature versus time record for
one part'icular device difficult, it js beljeved that it is important
to illustrate the "band width" (or maxjmum devjation) of all four
devices together. The maximum deviation in temperature above and
below -2.0"C can easi'ly be seen. In most cases the "band" is within
-1.8 to -2.2"C, indicating quite uniform temperature conditjons
throughout the samples during testing. I'loreover, Fig. 4.3 shows that
101
the average temperature in the sampìe remaÍned very close to -2.0"C
during the test.
The pressuremeter creep data has been reduced and plotted
using two computer programs, which are listed in Append'ix C. The
fi rst program, cal I ed M0Y0PLl , cal cul ates the cavi ty radi us versus
tÍme, using the flow chart illustrated in Fig. 3.6, and produces plots
as shown in Figs. 4.2 and 4.3. The second program, called 0Y0RATE,
calculates and plots the cavity expansion rate versus time, as shown
i n Fi g. 4.4.
To calculate the cavity expans'ion rate, OYORATE incorporates
a moving point, second order polynomÍaì least squares regression curve
fìtting analysis. The length of fitted segment is typicaììy 9 points
in the early stages of the test. After the curve has essentially become
flat, the length of segment is increased to 3i or 4l points. The
first derivative of the polynomial express'ion which represents each
segment is calculated for each experímental point in the segment.
0n1y the value at the midpoint is plotted, as jn Fig. 4.4. The segment
is shifted aìong the experimental curve by one to as many as 30 points,
depending upon the density of data points and degree of curvature.
The quality of fit of each segment was assessed by calculating the
sum of the squared residuals of the experimental cavity radius versus
the cavity radius calculated from the po'lynomial expression. In most
cases the qua'lity of fit was good; i.e. the radius calculated from
the fitted poìynomial expression was typica'lìy wÍthin 0.02 mm of lh.
experimental radius at the midpoints of the segments.
t02
4.3 EXPERI&{E¡{TAL RESULTS OF THE T4ULTISÏA6E PRESSUREI{ETER CREEP TESTS
Figures 4.5 and 4.6 present plots of cavity radius versus
time, cavity pressure versus time, and temperature versus time for
Test # 10. Fígures 4.7 to 4.11 present plots of cavity expansion
rate versus ti'me for each stage. The plots for the remajning mult'istage
tests are contained in Appendix A.
As with the sing'le stage tests, the data processing flow
chart illustrated in Fig. 3.6 was used to calculate the cavity radius
(Ro) for each Rn reading for all of the multistage tests. A summary
of the cal i bration constants used for al I the mul ti stage tests i s
!iven in Table 4.3. The composite curve membrane resistance calibration
(Equation 3.12) was used for all the multistage tests and is not
included in the Table.
As Fig. 4.5 i I I ustrates, deviations in the appl ied cavity
pressure were small and changes in pressure from one Íncrement to
the next lvere carried out within about one minute. Moreover, as with
the sing'le stage tests, temperature uniform'ity throughout the samples
used for the multistage tests was good (as Fig. 4.6 iììustrates).
The cavity expansion rate versus time curves for each stage,
shown Ín Figs. 4.7 to 4.11, were calculated and p'lotted using the
program OY0RATE. A segment ìength of 9 po'ints was used for all stages
of all of the multistage tests.
4.4 DISCUSSIOH OF TEST RESULTS
As the cavity radius and
curves for the singìe stage tests
rapid decrease in deformation rate
cavi ty expans'ion rate versus time
illustrate, there is typicaìly a
to a minimum (i.e. relatively short
103
prjmary creep period), with a gradual increase in rate thereafter.
The time to the minimum rate ranges from about 330 mÍnutes at a pressure
of 2.5 MPa to about 6,000 minutes at a pressure of 1.0 MPa. The
increase in deformat'ion rate after the minimum is much more pronounced
at higher pressures than at lower pressures (e.g. Figures 4.3 and
4.6, for 2.5 and 2.25 MPa respect'ively as compared to Figures 4.18
and 4.21, for 1.25 and 1.0 MPa respectively). As discussed in Chapter
2, steady-state creep for the pressuremeter case, 'in terms of the
power I aw creep model , i s represented by an exponent'iaì 'ly i ncreasi ng
cavity radius with time. It appears, therefore, according to this
definition, that steady-state creep dominates after the initial ,
relativeìy short primary creep period. As the form of response for
tertiary creep in the pressuremeter problem has never been discussed,
it is difficult to cornment on whether the creep is going into a tertiary
mode or not.
Examination of the cavìty radius and cavity expansion rate
versus time curves for each stage of the multistage tests indicates
a wel'l developed primary period in only the first stage of each test.
The second and subsequent stages show some i ni tj al fl uctuati on i n
the rate with time and then generally level off. Sìight increases
in rate may be noted near the ends of the higher pressure increments.
Also evident in the cavity radius versus time curves for the multistage
tests (for example, see Figure 4.5) is the small magnitude of the
time independent deformation (i.e. elastic and p'lastic strain) developed
when the pressure is increased from one stage to the next.
The minimum cavity expansion rates for the single stage
tests and each stage of the multistage tests are compi'led in Table
4.4.
104
review of this data indicates that:
The minimum cavity expansion rates for the sing'le stage tests
generally agree quìte well with the mjnimum cavity expansion
rates for the multistage test increments at the same pressures.
The multistage rates are, however, typically slight'ly higher.
The minjmum rates from mul ti stage Test 12 genera'l 1y show
the best agreement w'ith the single stage results, while the
rates from multistage Test 11 show the largest deviation
from the single stage results.
4.5 ICE PROPERTIES AI{D PRESSUREI{ETER TEST SAHPLE HOþÐGEI{EITY
As d.i scussed 'in chapter 3, test tanks wi th a semi -ri g'id
lateral boundary were chosen for this program to inhibit radial crack
development and eliminate complete failure of the ice cylinder at
low strains. Even with this boundary conditjon, however, some crackìng
of the ice did develop. Table 4.5 gìves a surnmary of any cracking
which was observed.
A major radial crack, which went from the cavìty wall to
the sample boundary, deveìoped in on'ly one test (Test # 6). A m'inor
crack, extending into the sample about 180 nm from the cavity wall,
occurred in another test (Test # 10) while traces of cracks (penetrating
to a maximum of about 10 nrm) were found jn three other tests (Tests
# 2, # 3 and # 4). A thorough examinat'ion of the other seven samples
revealed no visible cracking whatsoever. Plates 4.I and 4.2 tho*
the sample for Test # 7, with no visible cracks, while Plate 4.3 shows
the crack which developed during Test # 10.
When stud'ied in detail after the testsn all of the cracks
A
i)
2)
105
were tightly closed, and could barely be discerned on the wall of
the cavi ty. It seems reasonabl e to assume , therefore , that the
development of the cracks djd not contribute signifÍcantly to the
total deformati on measured at the cavi ty wal I . If the semi -ri gi d
tank boundary had not been present, the ice cylinder for Test # 6,
and perhaps for Test # 10, would probably have failed completely.
As di scussed i n Chapter 3, core samp'l es of the i ce were
taken for visual examination and density determination. The ice was
generaì1y quite clear; tiny bubbles about 1 mm in size were observed,
mostly located around the seed ice crystaìs. No signs of cracks were
apparent in any of the sampìes. The densities determined for all
of the ice core sampìes are gìven in Table 4.6. The mean density
i s 0.901 Mg/m3 wi th a standard devi ati on of 0.0045 Mg/m3. The
coefficient of variation (standard deviation divided by the mean)
is 0.500%. These statistics indicate a low variability in the densÍty
of the pressuremeter test specimens. Moreover, as the ice core
densi ti es for each sampl e i ndi cate , there i s no apparent trend i n
density with position in the 'large pressuremeter specimens. For
comparison, Sego and Morgenstern (i983) report a variation in ice
density of from 0.889 to 0.894 Mg/m3 while Jacka and Lile (1984) and
Cole (i979) report average densities of 0.917 Mg/m3. (These densities
are for uniaxial compression test specimens. ) This latter densìty
of 0.917 Mg/tn¡ is close to the theoretical value for ice, consjdering
that when water freezes its volume increases about 9%.
106
4.6 PRESSUREHETER TEST SAffiPLE REPRODUCIBILITY AND TEST REPEATABILITY
As Table 4.6 indicates, the variabi I ity 'in ice densities
for the pressuremeter test specimens is quite small. In fact, on'ly
two of the 37 ice core sample densities determ'ined fall outside of
I two standard devjations from the mean; two standard deviations
from the mean represents an error of about I% from the mean. These
resul ts i ndj cate , therefore , that as far as densi ty i s concerned ,
the sampìes were very reproducible.
As discussed in the Introduction to this chapter, two single
stage tests were conducted at an applied cavity pressure of 2.0 MPa
to check for both sample reproducibility and test repeatabjìity. Figure
4.12 shows the two cavity rad'ius versus time curves superimposed one
upon the other. Thi s Fi gure 'i ndi cates that the sampl es were
reproducible and the test is repeatable.
Test Number
TABLE 4. T.
Sunønary of Pressurereter
Type(S.S. - Sí ng'le Stage )
S. S.S.S.S. S.s. s.S. S.s. s.S. S.S. S.
MS
Creep Tests
Appl i edPressure
lmna)
2.502.002. 001. 502.25I.7 5
1.00r.251. 507.7 52.002.252.501. 50t.7 5
2.002.251. 50r.7 5
2.002.250.250. 500.751.007.251. 50r.7 5
2.00?.252.50
mln
2,r7 5
6,0956, 140
18,5i03,040
i0,32074,60037 ,200
1 ,4401 ,440r,4401 ,440
300r20720t20r20
2 ,8802,8802 ,880
4801 ,440I ,4401 ,4401 ,4401 ,4401 ,4401 ,4401 ,4401 ,440
270
Durati on
L07
days
1.514.234.26
12.852.7r7.r7
51.8125.83
1. 001. 001.001. 000.270. 080. 080. 080. 082.002.002. 000. 331.001. 001. 001. 001. 001. 001.001. 001.000. 19
2
345
67
I9
10
MS
MS
MS
11
I2
13
MS - Multistage)
108
Test
Number
TABLE 4"2
Sunrnary of Pressuremeter Cal ibration Constants
for Single Stage Tests
= C1 + C2 Rn (mm) Pg = C3 + C4 ln(t) (rnm) Si''
C1 C2 C3 C4 C5
= c5 + c6 Rn (cm2)
C6
2
3
4
5
6
7
I9
5.7973
5.7973
5.7973
5.7973
5.8077
5.8077
5 .7 552
5.8077
0. 5152
0 . 5152
0. 5152
0.5152
0.5i44
0 . 5144
0 . 5185
0. 5 144
0.0400
0.0800
0.0700
0.0700
0.0743
0.0600
0.0403
0.0485
0.00
0.00
0.00
0.00
0.0056
0.00
0.0055
0.0054
2.233
2.233
2.233
2.396
2.329
2.243
2.35r
2.283
0.01832
0.0i832
0.01832
0.0i745
0.01132
0.01761
0.0i78
0.01020
109
TABLE 4.3
Sunø'nary of Pressurereter Calibration Constants
for Hultistage Tests
Test
Number
Stage X=C1+C2¡ftn(nrm)
Number C1 C2
Pn = c3+c4 x ln(t)(mm) ,l/, 0.11,nälC4 c5 c6C3
10
11
t2
13
1
2345
1
23
45
1
234
5.8077il
il
lt
il
5.8023ll
ll
il
il
5.807 5tl
ll
ll
5.8178lt
il
il
il
ll
il
il
il
il
0 . 5144il
lt
ll
il
0 . 5144il
il
il
il
0 . 5136ll
il
tl
0.5142il
lt
il
il
il
il
il
il
lt
0.05100. 10500. 10500. 10500. 1050
0.02280.06000.07000.07 500. 07 50
0.01430.08500.08500.0900
0.04000.05000.06000.06500.07000.07000.08000.08500.09000.0900
0.00560.000.000.000.00
0.00600.000.000.000.00
0.00500.000.000.00
0.000.000.000.000.000.000.000.000.000.00
2. 398il
il
il
u
2. 330¡l
ll
il
il
2.327il
il
il
2.284il
ll
il
il
il
ll
il
lt
ll
0.01050ll
il
il
il
0.02620il
il
I
il
0.02098il
ll
il
0.0i463¡t
il
il
il
il
lt
il
il
lt
I23
45
67I9
10
TABLE 4"4
Hinimum Cavity Expansion Rates for the Single Stage
and the Hultistage Pressurereter Creep Tests
App'l ì edPressure
110
Minimum CavityExpansion Rate
(mm/mi n )Test Number Sta ge
Difficult to determineare missing.
(MPa)
263475
98
10
:
:
1
2345
1
2345
1
234
1
234567
I9
10
?.502.252.002.00r.75i. 501.251.001.501.7 52.002.252.50
1.501.752.002.252.50
1.501.7 5
2.002.25
0. 250. 500.7 51 .00t.251.501.7 52.002.252. 50
= 0.00330 (1)0.00i700.001200.001250.000730.000390.000200.000120.000520.000820.00i420.002340.00392
0.000960.001350.001700.002150.00290
0.000410.000720.00i310.00252
0.0000s0.000040.000100. 000i 5
0.000270.000470.000840.001450.002400.00370
11
L2
13
(i) if this is the minimum because data points
111
TABLE 4"5
lÞgree of Cracking in Pressurereter Test lce SpecinNens
Degree ofTest Number Cracking Nature of Cracks
2 Trace 3 radial cracks spaced at about120' at the top of the cav'ity -penetrate = 5 to 10 mm into the icespecimen.
3 Trace 3 radial hairline cracks spaced atabout 120"; only vìsible at the topof the cav'ity.
4 Trace 2 radial hairline cracks; on'ly visibleat the top of the cav'ity.
5 No cracking visible
6 Major 2 radial cracks; one extends from thecavity to the steel tank while theother extends about 300 mm from thecavÍ ty.
7 No cracking visible
8 No cracking visible
9 No cracking visìble
10 llinor One radial crack extends about 180mm from the cavity wall.
11 No cracking visible
12 No cracking visible
13 No cracking visible
I't2
TABLE 4.6
flensity of lce Core Samples
Test Number
2
3
4
5
6
7
8
9
10
11
L2
13
Sampl es
0.894,
Sampl es
0.902,
0.911 ,
0.998,
0.899 ,
0.904,
0.900,
0.906 ,
0.90?.,
0.896 ,
too poor
0.899
too poor
0.901,0.906
0.894, 0.895,
0.895,0.904
0.894,0.900,
0.903,0.894,
0.896,0.904
0.902, 0.903,
0.908,0.908,
0.899,0.902,
Densit.v of Core Samples(¡'h/m3)
Average Dens'ityhs /mr )
0.897
0.898,
0.903
0.904
0.902
0. 907
0.896
0.903
0.902,0.905 0.901
0.899
0.899
0.901
0.900
0.903
0.906
0.898
37 i ce core sampl es 'in total ;
Average Density = 0.901 Mg/m3S¡ = 0.00450 (standard deviation of sampìe)Vi = 0.500% (coefficient of variation)
50.o
o
s ë (n :) õ É.
t-- ã C)
47.O
O
oorr
lrr
? O
¡-
(\,
Gj
:
44.O
O
ro ry a,
o rO
4l.o
o
38.O
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rf,, ol
o
AP
PLI
ED
CA
VIT
Y P
RE
SS
UR
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Pc
(MP
o)
o.oo
Fig
ure
4.1
Com
pile
d pl
ot o
f ca
v'ity
rad
ius
vers
us t
ime
curv
es f
or th
esi
ngle
sta
ge te
sts
to
ro.o
o20
.oo
20
I
30.o
o 40
.oo
50.o
o
TIM
E (
MlN
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lO3
30D
AY
SI
r.oo
40 60.o
o
50
70.o
o80
.oo
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114
O?O
OO
tÈ
='tn_O'oCleG<É.
FO_?cIe(-J
.uu
OO
@_
n I{J . uu 20 .0u 60 . fJ030 .00T INE
¿0 .00 50 .00( ll lN ì x 102
/0 .00 80 .0u
Goo-:5*LLJÉ=oØ=cDNtrlÉ.o_
)-sFO
Ct)
>-b.oo 10.00 20.00 3.0.0tJ 40.00 ÞQ.oo 60'00 70.00 80.00l-lNE tlllN) *102
Fiqure 4.2 Cavìty pressure varjation with tjme; S.S. Test 4
115
ooOô
OO
='U)-o_O
C)ecr<É
F()
-?ce(J
?c)oLLJ oo"i
ùELrJ o*?
3C .00T INE
.u0
oo@_
"b
O?
O]or
"".
O?
0
oO
?Òt!O
rELL,l-
'70 .00 80 .00
Variation within
@ffiÉWffi
1 0 .00 20 .00 30 .00 ¿ 0 .00 50 .00TIIlE{11lNt '10'
70 .0u 80 . û0.00
r0.00 20 .00
r0.00
40.00 50.00( M IN I ' l0'
tì0 .00
60 .00I
70 .00 80 .00
60 .00
Averaqe
@¡xrcffiæ wÈftr]M wë#effielðõÈe
'0 .00 20 .00 30 .00 40 .00TIIlE(HIN)
50 .00u l0t
Fiqure 4.3 Sampìe temperature vari ati on wi th ti me ; S . S . Test 4
116
O?Oû
OO
E-
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It7
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Fiqure 4.5 Cavity pressure variation with time; tls Test 10
118
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Average
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Variation within sample (4 pts.)
Fiqure 4.6 Sample temperature variation with time; l{S Test 10
119
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++++++++++++++++++ ++++++++++++++++++++++++++++++++ +++++
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Fi qure 4.7 Cavity expansjon rate versus time;
r20
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='(n
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54 .00 '72 .OO 90 .00TIIlE (11lNl xl0'
r 08 .00 r 25 .00 I 4 4 .00
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T2T
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Figure 4.9 Cavity expansion rate versus time; llS Test 10, Stage 3
122
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123
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+++
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Fi qure 4. 11 Cavi ty expans'ion rate versus time; llS Test 10, Stase 5
so. oo
së
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t()
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Fjqure 4.12 Cavjtv radius versus time curves for S.S. Test 3 and S.S. Test 4;2.00 t{Pa
20.oo 30.oo 40.oG so.oo
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127
CHAPTER 5
ANALYSIS OF THE PRESSUREHETER CREEP TESTS
5.1 IWTRODUCTIOH
The pressuremeter creep test resul ts presented in Chapter
4 are analyzed in this chapter in terms of the two rheologjcal rnodels
presented in Chapter 2:
1) the strain-hardening, power law creep model used extensivel.y
by Ladanyi;
2) the modified second order flujd model.
. Creep parameters for the two model s have been determined
from both the sinqle stage and multistage tests. The predictive
capabiìity of both models is assessed by generat'ino pressuremeter
creep curves, based on creep parameters determined from the multistage
tests, and comparing these qenerated curves to the experjmental single
stage creep curves.
5.2 ANALYSIS OF PRESSUREþTETER CREEP TESTS IN TER}IS
STRAIfl-HARDENIIIG, POHER LAH CREEP THEORY
5.2.1 Processing the Pressuremeter Creep Tests
OF THE
As stated at the end of Chapter 3, no attempt has been made
in thj s study to measure the instantaneous response (el asti c and
pìastic) of the ice. 0nly creep strains are considered. Fol'lowing
Ladanyi and Eckardt (1983), creep strain'inq Ís assumed to commence
one minute after the applicatÍon of the pressure; all creep strains
are therefore referenced to the cavity radius (r) at one mjnute.
Because of the large number of data points for each test
r28
(e.g. 1,040 data points for Test # 13), the results were processed
and plotted using the University of Manitoba's ma'inframe computer.
To faci I i tate data proces si nq wi th the computer , the pres suremeter
creep equations have been redefined in the following v\,ay (after Ladanyi
and G'ill, 1981; Fensury, 1985).
The creep equation:
rn (li) = rtf*' rïlo (+P)n tb , (2. qs)
becomes:
tn(f;)=Ftb
where: F=H(Pt;To)n
N = (# )n*1 tf; lb tfl'
log (rn fr) =
!,lhen Ir tfrl is ptotted
loqF+bìogt (5.4)
against time in a log-log plot (as the simulated
t
and
(5.t¡
(5.2)
(5.3)
All the variables are as defined before, except ri is now defined
aS the cavity radius at a time of one minute for each stage. Also,
for these tests, ps, the radial pressure in the medium at F = - has
been set equal to zero. (Elastic stress analysis of the 'ice-tank
system has shown that the radial stress at the 'ice-tank boundary is
less than one percent of the app'lied cavity pressure. Moreover, no
residual stress in the ice, due to the freezing process r wâs âssumed
to exjst in the ice sampìe.)
Followinq Fensury (1985), the values of the creep parameters
b, n and oç may be found from two log-log plots. First, takìng the
ìogarithm of both sides of Equation (S.t¡ yields:
129
mult'istage test in Fig. 5.1 illustrates), the creep curves should
linearize with a s'lope equaì to b. The intercept at unit tjme (tor
this case 1 minute) of any creep line is then equa'l to F, for each
app'lied pressure P..
The values of n and oç may then be found by taking the
ìogarithms of both sjdes of Equation (5.2):
'logF=logM+nìogP.-nlogoc, (5.5)
and plottinq log F (the intercepts in the upper figure of Fig. 5.1)
versus log Pc (as in the lower figure of Fig. 5.1). The best fit
line will have a slope equa'l to n. The intercept of this ljne at
unjt pressure (1.0 MPa) yìe'lds F1. According to Equation (5.5), F1
is equal to:
where
Since Equation (5.3) may be solved to find
oc may be calculated from Equation (5.6),
N = {f )n*1 rf tb tft'
Fl = Mn ; or,o6"
- ,M tl/noc - \F1,
log Fl = log M - nìog o¿ , (s'o¡
(5.3)
M (assuming Ë = 10-5 min-1),
i.e.:
(5.7)
For data processing, the program LADF0Sl was used to read
the test data and calculate log (ln :) and the log (time) for al I' ri'of the creep curves. This data set was subsequently read and processed
by the program LADPL. The program LADPL, as well as produc'ino plots
similar to the ones shown in Fig.5.1, calculated the b and F values
for each creep line and determined n and Fl for each test by regression
130
analyses. Curve fitting is done by least squares linear regression,
so that if some data is deemed to be unsuitable from visual inspection
of the LADPL plots (for exampìe one point does not follow the trend
of the rest of the data) it must be removed from the data set before
processing. Some of the final plots, therefore, will not show all
of the data. The position taken in this thesis is that as much data
as possibìe is used for anaìysis, as long as the results conform to
the model. The programs LADF0SI and LADPL, modifjed after Fensury
(l98S), are listed in Append'ix C. More details about these programs
may be found in FensurY (i985).
. As the strain-hardening, power law creep model has been
used historicalìy to analyze multistage tests, they are presented
first. Analysis of the singìe stage tests follows.
5.2.2 Analysis of the tilultistage Pressureneter Creep Tests Using
Strain-Hardening, Power Law Creep Theory
in the following, each of the 4 multistage tests is analyzed.
The first trjal analysis includes all of the data from that particular
test, while further trials delete part of the data to achieve a "better
fit", accord'ing to the model. The creep parameters from alI of the
runs for a part'icular test are surnmarized in tables. The injtial
plots whjch include all the test data and the best fit p'lots are placed
at the end of this chapter.
It must be noted that circumferential strain for this model
is defined in terms of the infinitesimal strain tensor. Therefore,
c'ircumferential strain is equal to $ where ^r = change in cavityr'l
radjus (i.e. r-ri) and ri = initial cavity radius.
131
5.2.2.L AnaÏysis of ffiultistage Test # 10
l4ultistage Test # 10 was carríed out with cavity pressures
of 1.50, 1.75, 2.00 and 2.25 MPa, with each pressure being appl'ied
for a duration of 1,440 minutes (1 day). The last stage, with a cavity
pressure of 2.50 MPa, was held onìy for 300 minutes, since the
pressuremeter reached its maximum allowable expansion after that length
of time.
The resul ts of the fi rst tri al , usi ng al I the data from
all five stages, are presented in Figs. 5.2 and 5.3 and Table 5.1;
Fig. 5.2 presents pìots of circumferential strain at the cavity wall
yersustimeandlog(ln*) versus log time, whÍle Fig. 5.3 presentsrlpìots of log F versus log pressure and b value versus pressure. The
creep parameters are summarized in Table 5.1. tt|hat is immediate'ly
evident from Figs. 5.2 and 5.3 is that:
1) the creep line for the first pressure stage of 1.50 MPa has
a b which is much lower and an F intercept which is much
higher than the other stages (note: the term "creep I ine"
in thís thesis refers to the linear regression lÍnes on the
log (tn f;) versus los (time) plot).
2) the ear'ly data i n the creep pl ots i s qui te
approximately 90 minutes). (Note: "creep
data pì ots" in thi s thesi s refers to the
.the los (.|. fil versus log (time) plot. )
scattered (before
p'lots" or "creep
data pl otted on
Inclusion of the first stage resulted Ín an n value of'1.37, which
does not conform to the model; i.e. n cannot be negative.
In order to obtain results which conform to the model,
therefore, the data of the first stage had to be excluded from the
r32
analysis. Findings similar to this, that is to sây, where the first,and sometimes second stage could not be used in data reduction, can
be noted in Eckardt ( 198i) and Fensury ( 1985) . The reason for thi s
behavjour is unclear. It may be due to "delayed" elastic/pìastic com-
pression. Another reason may be that the first stage had not approached
steady-state or secondary creep, while the remaining stages had.
The second trial was run with the first stage'information
omitted, while the third trial was run with both the first stage omitted
as well as the data for the first 90 minutes of the remaining staqes.
Although Trial # 2 gives reasonable results (Table 5.1), Trial # 3
yields:
1) correlation coefficients for the creep regress'ion lines greater
than 0.999, which are higher than for Trial # 2,
2) less variation in the b values than in Trial # 2, indicating
better parallelism of the creep lines,
3) less scatter in the p'lot of log F versus ìog pressure than
is the case with Trial # 2.
Trial # 3 is considered to best sat'isfy the necessary
conditions for the model; í.e.:
1) creep curves should linearize in a ìog-'log p'lot,
?) creep curves for dífferent sustained pressures shoul d be
paralleì to each other.
The plots for Trial # 3 are presented in Figs. 5.4 and 5.5. It is
interesting to note that the creep deformation is very close to a
steady-state condition in the last four stages of the test (i.e. b
values are very close to one). Moreover, as there appears to be no
definite relationship between b and pressure, âfl áverage value of
133
b is used for the test. Ladanyi and Eckardt (1983) and Fensury (1985),
on the other hand, found that b increased with pressure according
to a power function.
5.2.2.2 Analysis of Multistage Test # 11
MultÍstage Test # 11 was carried out with cavity pressures
of 1.50, 7.75,2.00, 2.25 and 2.50 l4Pa, each pressure be'ing held for
720 minutes. The results of the first trial, using a'll of the data
points, are presented in Figs. 5.6 and 5.7 and Table 5.2. As with
Test # 10, the first stage at a cavity pressure of 1.50 MPa has a
much higher F value and a much lower b than the other stages. Aga'in,
as with Test # 10, a negative n s'lope (which does not conform to the
model) has resulted. It is clear, however (see Fig. 5.7) that ifthe data from the first stage is omitted, while all the rest of the
data is kept, a negative n slope will again result. It is evident
from Fig. 5.6 that the first 60 minutes of data points in the last
four stages have caused the creep I ines to become non-para'l ìeì and
intersect each other.
The second trial was carried out with the data from the
first stage and the first 60 minutes of data of the remaining stages
deleted. As Figs.5.8 and 5.9 illustrate, the creep lines are now
quite paralìe'l and a good fit is obtained on the log F versus ìog
pressure pìot (Fig. 5.8); reasonable results have been obtained (Tabìe
5.2). The b values of 0.85 to 0.91 indicate that steady-state creep
conditions are being approached in the last four stages. Again, as
wjth Test # 10, there does not appear to be a clear relationship between
b and pressure (Fig. 5.9), so an average value of b = 0.90 is adopted.
134
5"2"2"3 ÅnaTysis of MuTtistage Test # 12
Mul ti stage Test # 12 vlas carr j ed out w'ith cav'ity pressures
of 1.50, L.75 and 2.00 MPa held for a duratíon of 2,880 minutes (Z
days). The final stage, with a cavity pressure of 2.25 MPa, on'ly
lasted 480 minutes as the pressuremeter reached its maximum allowable
expansion at the end of thjs time period.
The results of the first trial, using alì of the data points'
are presented in F'igs. 5.10 and 5.11 and Table 5.3. As with Tests
# 10 and 11, the results are unreasonable (negative n value)'largely
due to the lack of conformity of the first stage at a cavity pressure
of 1.50 MPa (Figs. 5.10 and 5.11). Al1 subsequent trials, therefore'
have the data from stage I deleted. In addition, as with Test # 10'
the data pojnts in the first 90 minutes of the last three stages have
also been om'itted as they appear to be causing intersection of the
creep lines (Fig. 5.10).
Trial s # 2 and 3 (Table 5.3) give an indicatÍon of how
sensitive the determination of the n parameter is to the choice of
data. Trial # 2 uses only data at times between 90 and 2,880 minutes
for the last three stages of Test # 12, whiìe Trial # 3 uses data
between 90 and 1,440 minutes for these stages (to allow eventual
comparison with Test # 10). The correlation coefficients (rZ values)
for the creep lines in both trials are in excess of 0.999, indicating
excellent ìinearity of the creep data. The range in b is also small
(Table 5.3), with the average b values being essentially equal in
both cases (0.97 compared to 0.96). Because of the s'light'ly steeper
sìopes in the creep lines for 1.75 and 2.00 MPa fqr Trial # 2 as
compared to Trial # 3, the F values for Trial # 2 are s'lightly lower,
135
leading to an increase in the slope n in the log F versus 1og pressure
plot (see Figs. 5.L2 and 5.13, Trial # 3). Th'is slight'ly steeper
s'lope of the creep lines in Trial # 2 compared with Trial # 3 caused
a change in n from 4.14 to 4.53.
For comparison purposes (with both Test # 10 and Test #
13, which follows) the Trjal # 3 parameters, derived between times
of 90 and 1,440 mjnutes, are used to represent Test # 12. Plots of
the creep curves and creep parameters determined from Trial # 3 are
g'iven on Fi gs. 5.LZ and 5. 13 respecti vely. As wi th Tests # 10 and
11, the b values close to unity indicate that a condition of
steady-state creep was approached. Figure 5.13 indicates no clear
dependence of the b values on pressure, so an average value of 0.96
has been adopted for this test.
5.2.2.4 Analysis of Hultistage Test # 13
Multistage Test # 13 was carried out with cavity pressures
rangìng from 0.25 to 2.25 MPa, applied in increments of 0.25 MPa,
with each increment held for 1,440 minutes (1 day). The final stage,
at a pressure of 2.50 MPa, lasted for only 270 minutes since the
pressuremeter reached its maximum allowable expansion after this time.
The results of the first trial, using aìl of the data points'
are presented in Figs. 5.14 and 5.15 and Table 5.4. As Figs. 5.14
and 5.15 indicate, the first three stages at 0.25,0.50 and 0.75 MPa
do not conform to the model and result in an n value of -0.60. In
addition to deìeting the data from these three stages, as was done
with Tests # 10 and L2, the first 90 m'inutes of data is deleted from
the remaining stages in subsequent trials.
136
Figures 5.16 and 5.17 illustrate pìots of the creep curves
and creep parameters for Trial # 2. It is interesting to note (Fjg.
S.17) that the p'lot of log F versus log pressure is curved marked'ly
with n increasing with increasing pressure. Thj s is probably due
to the fact that the creep in the lower pressure stages (1.0 to 1.5
MPa) did not approach a steady-state condition; i.e. the b values
for these stages range from 0.83 to 0.90. If these stages had been
of a longer durat'ion, b woul d undoubted'ly have increased and reached
values closer to unity; F would have decreased, causing the log F
versus 'log pressure plot to become more linear. Although the necessary
conditions for the strain-hardening, power law creep, model (i.e.
l'inear, parallel creep Iines) are for alI intents and purposes satisfied
for cavity pressures in excess of 0.75 MPa, the omission of the data
from an additional three stages (with pressures of 1.00, 1.25 and
1.50 MPa) wil'l produce less scatter in the b values and gìve a better'
i.e. more linear, correlatÍon of log F versus log pressure.
Trial # 3 was carried out using only the stages wÍth cavity
pressures rang'ing from I.75 to 2. 50 tlPa . The resul ts are presented
in Figs. 5.18 and 5.19 and Table 5.4. These results, wjth an n value
of 2.63 and an average b va'lue of 0.97 are deemed to best represent
Test # 13.
5.2.3 AnaTysis of the SinqTe Stage Pressur€n€ter CÌ'€ep Tests Usinq
Strain-Hardeninqo Pouner Law Creep Theory
The results of the first trial, using all. of the data from
the seven tests in the pressure range 1.00 to 2.50 MPa (Test # 3 is
used to represent 2.OO MPa), are presented in Figs. 5.20 and 5.2I
137
and Table 5.5. The creep data plots shown in Fig.5.20 are concave
upward, with the result that b increases with time. The Jinear
regression fits to the creep data, which are reasonably paral ìel ,
represent an "average" b value for the tests. The creep parameters
derived from these fits, (n = 3.26 and oç = 1.00 Mpa) are reasonable
(e. g. Morgenstern et âl . , 1980; Sego, 1980; Sego and l4orgenstern ,
1983). A major prob'lem, however, I f es in the variation of b with
time. if an average value of b of 0.7I is adopted, then the creep
curves predicted from Equation (5.1) will show attenuat'ion with time.
Figure 5.20 indicates that just the opposite is true; the creep curves
show accelerat'ing behaviour even at the lowest cavity pressure of
1 .00 MPa.
If the creep data plots shown in Fig. s.zo are examined
carefully' it may be noted that the curves are para'llel at approximately
the same strain (tn fr) rather than at the same time. Furthermore,
when a condÍtion of steady-state creep is reached, (for these tests,
at ln fr values between about 0.0s and 0.10) the creep lines become
essentially paral'leì and remain that way to the maximum strain. Itis postulated that the creep lines will never be para'lìel in a given
interval of time unless a condition of steady-state creep (u = 1)
has been approached in each pressure stage. It al so seems that a
minjmum deformation (1. frl of about 5% is needed for the steady-state
condition to be developed. The remaining triaì analyses for the sing'le
stage tests examine how the creep parameters vary with both time and
strain (ln L).' ri'Trial # 2 (Table 5.5) was carried out in order to compare
i38
the creep parameters determined for the single stage tests, between
times of 90 and 1.,440 minutes, wìth the creep parameters determined
from the multistage tests in the same time'intervals and at the same
stress levels. As the results in Table 5.5 indjcate, an average b
value of 0.73 and an n value of 0.99 are not even close to the
multistage parameters (Tables 5.1 to 5.4).
Trial # 3 was carried out using the time interval from 1,440
to 14,400 mi nutes. The resul ts , wh'ich 'incl ude al I the pressure stages ,
are illustrated in F'igs. 5.2? and 5.23 and under Trial # 3a in Table
5.5. As can be seen in Figs. 5.22 and 5.23, the creep l'ines for'pressures of 1.00 and 1.25 MPa result in considerable scatter in the
log F versus log pressure p'lot. If these two pressures are deleted
from the anaìysis (Trial # 3b, Table 5.5), then the more realistic
value n = 3.45 is obtained. It is noted that in this case, the average
b value is exactly 1.0, indìcatìng the exjstence of a steady-state
creep conditjon in the tests at higher pressure.
Trial # 4 was carried out to determjne, approximately, the
minimum time (less than 1,440 minutes) tnat steady-state creep
conditions are approached in the pressure stages ana'lyzed in Trial
# 3b (i.e. 1.50 to 2.50 MPa). From Fig. 5.20, it may be noted that
scatter has largeìy disappeared by about 600 minutes. Thjs time was
chosen in a trial to see if steady-state rea'l ìy i s approached. The
results of this trial are presented in Figs. 5.24 and 5.25 and in
Table 5 (Triaì # 4). The differences between this trial and Trial
# 3b are a slightìy lower n value (3.37 as compar'ed to 3.45) and a
slightìy lower average b va'lue (0.95 as compared to 1.00). It may
be concl uded, therefore, that steady-state conditions are being
139
approached at about 600 minutes for these pressures.
Trial # 5 was carried out to determine the creep parameters
for times greater than 1i,000 minutes even though only 3 tests ran
for longer than thi s time period and the resul ts are inconcl usi ve.
The tests at pressures of 1.25 and 1.50 MPa had paral'le1 creep lines
with a b value of 1.09; the log F versus log pressure p'lot yieìded
an n exponent of 4.01. The creep line for the test at 1.0 MPa had
a slightly lower b value (0.95), but thìs was enough to cause scatter
in the 1og F versus log pressure pìot, resulting in a neqatjve n.
Trials # 6 to 9 (see Table 5.5) were carried out to examine
the effect of strain magnitude (ln l) on the determination of theri'creep parameters. As is indicated in the Table, all of the tests,
from cav'ity pressures of 1.00 to 2.50 MPa, were used in each of the
trials. The results indicate that there is in fact better paraìlelism
of the creep lines at given strajn levels in the tests rather than
at equaì time intervals. This paraìlelism gives a high deqree of
linearity in the log F versus ìog pressure plot even in the low stress
range. This is not true for the equaì time'intervals where the low
stress data results in much scatter. It may be noted that the average
b values increase with increasing strain level, from 0.69 at ln :rifrom 0.01 to 0.03, to a b of 1.06 at ,t t greater than 0.10. The
steady-state condition (b = 1) is deve'loped at ìn I values of aboutri0.05 to 0.10. From these trials, there does not seem to be an apparent
trend in the value of n with straÍn; n varies between 3.4 and 4.0.
The lack of an apparent trend in the exponent n may in fact be due
to the difficu'lty in determining n precisely. The determination of
the exponent n requires two sets of curve fitting, and error is
introduced at each stage; i.e.
considerable scatter in the log
140
s'light variation in b can cause
versus I og pressure pl ot.
5.2.4 Comparison of Experirental and Predicted Pressuremeter Creep
Curves Usinq the Strain-Hardening, Pov¿er Law Creep Hodel
As an Índependent method of assessing the predictive
capability of the strain-hardening, power'law creep model, pressuremeter
creep curves have been generated using the best fit creep parameters
from the multistage tests. These predicted curves are compared to
the experimentaì single stage pressuremeter creep curves at equivalent
pressures. The best fit creep parameters determined from the four
multistage tests are given in Table 5.6.
In order to predi ct ci rcumferenti al strai ns from the
pressuremeter creep data, it is assumed that ee = * = ln l = F tbri ri(EquatÍon 5.8). This assumption was used by Fensury (1985) tor his
comparisons. Moreover, the maximum difference betweeñ e0 and ln L,
at the maximum circumferential strai n of 26% is onl V 3% (i...* .qrutTri26% while ln å gives 23%). Considering the fact that we are usingrithe infinitesimal strain tensor in this creep analysis to represent
what are reaì'ly large strains, this difference is considered to be
unimportant.
Now, considering the creep parameters given in Table 5.6 and
using the Fensury assumption:
a
F
.o =fr= F tb = Fl (p.)n tb
s'l nce,
Fl = M tält from Equation (5.6)
(s.e)
141
and,
F = tvl ,ä,t from Equation (s.Z).
Based on values of F1, n and b from Table 5.6, fictitious constant
stress pressuremeter creep curves for any appl ied cav'ity pressure
Pc may be generated usinq Equation (5.9). (A computer program called
PRDFg1 (modified after Fensury, 1985) which generates the fjctitious
curves may be found listed ìn Appendix C.) Both fìctitious and real
experimenta'l curves can be pì otted usi ng the program PRDPLS ( al so
after Fensury,1985 and l'isted in Appendìx C as well). PRDPLS curves
are illustrated in Figs. 5.26 to 5.32.
The main findings from these comparisons are as follows:
1) All of the predicted, i.e. fictitious, curves have a strain
rate that is nearly constant wjth time (i.e. they reach a
steady-state condi ti on ) . Thi s i s due to the fact that b
= l.2) The maximum difference between the predicted curves and the
corresponding experimentaì curves occurs at 1.00 MPa. Th'is
difference is on the order of 15% when calculated in terms
of circumferential strain. The four predicted curves generaìly
fit the experimental results better at higher cavity pressures.
3) [verall, the creep parameters from Test # 10 give the closest
predì cti ons over the enti re stress range. Thj s i s not
surprising, since these parameters are Closest to the
parameters considered to be the best fit for the sing'le staqe
tests (Trial # 4; b average = 0.95, n = 3'37 and Fl
0 . 00000s 34 ) .
r42
4) In the lower pressure range (1.00, !.25, 1.50 MPa) Fl dominates
the predìcted curves, and the exponent n is less important
(i.e. F1 (P.)n tb = Fl tb for Pc close to unìty). At these
3 pressures, PRD 13 (i.e. the predict'ion using Test # 13
parameters) overestimates the experimental curves while PRD
12 underestimates the experimentaì curves. At the hiqhest
pressure (2.50 MPa) n becomes more important than F1. The
highest exponent n = 4.I4 (Test # LZ) yields the predicted
curve with the highest strains, wh'ile the lowest exponent
n = 2.63 (Test # 13) yields the predicted curve with the
lowest strains (Fig. 5.26).
The pred'i cted curves , therefore , usi ng the assumpti on i n
Equati on (5.9 ) are i n reasonab'le agreement wi th the experÍmental si ng'le
stage curves over the time period in question. It is readily apparent,
however, by examination of Figures 5.26 to 5.32 that Equation (5.9)
does not model the strain rate accurately. Equat'ion (5.9) will predict
either a decreasing strain rate with time if b < 1.0, or a constant
strain rate w'ith time, if b = 1.0. The experimental curves, after
an initial decreasing strain rate period, show an increasing strain
rate with time, with the increase becoming more pronounced near the
end of the creep curve. The assumption of e0 = ìn f, then, couldrl
result in significant divergence of the experimentaì and predicted
creep curves when extrapo'lati ng to 'longer perì ods of time. Another
method of predi cti on , whi ch tends to model the strai n rate more
accurately, is given in Chapter 6.
5.3 AHALYSIS OF PRESSUREHETER CREEP TESTS Iru TERþ{S OF
SECOND-ORDER FLUID WDEL
5.3"1. Processing the Pressurer¡eter Creep Tests
As the motion equation,
143
ÏHE ruDIFIED
(2.62)roro
m
mal ,l,t-urf,r -f (m+1) ,*l-'=o
'is a complicated nonlinear differential equation of order two, a closed
form solution is unlikely. Instead, a numerical solution was deveìoped
by Q.-X.Sun (1985). (The details of the solution and computer program
form part of Mr. Sun's ongoing Ph.D. work.) First it is necessary
to calculate an approximate value of the exponent m, and then, using
a computer program cal'led QSUN, it is necessary to optimize the
numerical solution of Equation (2.62) using the experimental test
results. The numerical solution of Equation (2.62) uses a fifth order
Runge-Kutta technique (see, for example, James et al., 1985). A lìsting
of QSUN is included in Appendix C. In order to illustrate the method
of solution, the single stage tests are analyzed first.
5.3.2 Analysis of the Single Stage Pressurereter Tests Using the
Þtodified Second-0rder Fluid Fbdel
nt 3 , the cavity expansion rate divided by the currentro
cav'ity radius, is a varjable Ín three of the four terms of Equat'ion
(2.62), its variation wjth time was examined for each of the sing'le
state tests (see Figs. 8.1 to 8.8, Appendix B). As is readily apparent
from these tiSure.s, f, approaches a minimum value qu'ite rapidly,
which means that P approaches zero rapid'ly. With this in mind, anFg
assumption was made that the first two terms of Equati on (2.62) became
negligibìe compared to the last two wnen f approached zero
wnen fr approached a minimum). Under th'is assumption, Equatìon
reduces to:
t44
(i.e.
(2.62)
(5.10)
It may be noted that Equat'ion (5.10) is exactìy the power-law fluid'
Equation (2.64). Rewriting Equation (5'10) vields:
io _ 'p.(m+t)
11/(m+1) 1 ?.64)%-' 2]t J
Now, taking ìogarithms of both sides of Equation (2.64) g'ives:
rn tP) =#(rn+)-#trn$) (5'11)'Fg
It.is readi'ly apparent that it ln io is plotted against lt ? r Iro
strai ght I i ne shoul d resul t w.ith st one fr. Thus , the creep exponent
m may be determined.
For the single stage tests, a minimum value rt I v,Jas chosen
for each test (note: the minimum of P versus time corresponds toro
þ.oual to zero). In the lower pressure tests, choosing an absolutero Fg
minjmum is difficult because the increase tn * with time after the
minimum.is very slight.. These results are presented in Table 5'7'
A pìot of ln fi u..ru, lt + is presented in Fig' 5'33' As
the minimum ft value for Test # 2 at 2.50 MPa is in doubt because
of m.issì'ng data po'ints, it i s left out of the regression analyses '
A linear regression analysis of the rema'ining 6 data points yie'lds
b nu, been taken for 2'00 MPa):(an average ln ¡o
145
r - s.qsl " 12 = o.ggigmTT -
Therefore, rTt = -0.709.
Because of apparent curvature in the lower StreSs range '
a second regression ana'lysis has been conducted with both the Tests
# 2 and I data points removed. These results are:
1= = 3.731 , rz = o.9g7om+1
Therefore , tTr = -0 .7 32.
For now, the regression analysis oìving an m exponent of
-0.709 will be used, as there is not a significant djfference between
the correlation coefficients of the two fits.
in order to determjne the creep parameters alr g and m which
best fit an experimental creep curve, QSUN is run. As the simp'lified
flow chart in Fig. 5.34 indicates, the necessary input information
are: (1) the experimenta'l cav'ity radius versus time data, (2) the
cavity pressure(s) and (3) the appropriate rrmrr exponent. Initial
o1 and ¡ parameters are calculated from the input m value and the
experimentaì data. These creep parameters are then optím'ized using
the data points from a segment of the experimental curve. The optimized
creep parameters cl, ¡r and m are then substituted into the numerical
solution of the motion equation, which is based on a fifth order
Runge-Kutta technique. The predicted (tictitious) cavity radius versus
time curve is then calculated for the same experimentaì time nodes.
To assess the quality of fit, the error between the experimental curve
and the predicted curve is calculated as:
trD1=ro(t)-rp(t)L¡\¿ ro(t) - ri(5.12)
146
where: Fo(t) = experimentaì cavìty radius (n¡m)
rp(t) = predicted cavity radìus (mm)
ri = initial cavity radius at the start of analys'is.
(Note: by inspection of Equation ( 5.12), it can be seen that if the
denominator is small (i.e. when ro(t) approaches ri) then the rat'io
becomes less definite. The apparent error, therefore, may be large
even though re(t) and rp(t) are in fact close in magnitude. To avojd
thjs probìem, ER1 is considered meaningful onìy when rs(t)
than 41.00 mm. )
i s greater
The best fit predicted curves for all of the sing'le stage
tests are shown in Figures 5.36 to 5.42. The correspond'ing best fit
creep parameters for each test, and the max'imum error (for cavity
rad'iì over 41.00 mm), are given in Table 5.8. As can be seen from
Tabl e 5.8, the range i n the three creep parameters i s reasonabl e;
s1 varies from 100.00 to i20.00 l4Pa (min)m+2, 1¡ from 5.90 to 6.30
llPa (mi n )m+1 and m f rom -0.702 to -0.707. The averaqe parameters
are:
c1 = 108.00 MPa (min)m+2
u = 6. 125 Mpa (min )m+1
m = -0.705.
The maximum ERl for a cavity radius greater than 41.00 mm,
The mi F6 Inrmum ro was observed at a tfme of about
(for a cavity pressure of t.25 Mpa) and at about 6,000
a cavi ty pressure of 1.00 Mpa ) . These times appear
a practical (field) test. It was decided, therefore,
reasonable estimate of the m exponent could be derived
time, say using data from the first 1,440 minutes (Zq
is 72%.
5,000 minutes
mÍnutes (tor
excessi ve for
to see if a
in a shorter
hours ) of a
t47
single stage test. fne p versus time curves for the first 1,440ro
m'inutes of the sì ng'le stage tests are compi I ed i n li g. 5. 43. In order
to evaluate the change in the exponent m with time, ff values for
all pressure levels were chosen at times of.120, 360 and 720 ninutes.
These values are tabulated in Table 5.9i ln 3 u.rrrr tn 3 plots-ro¿for the three sets of data are shown on Fig. 5.44.
The ln 3 u..rm ln 3 graphs and corresponding l'inearro¿regression analyses show that .as the t'ime interval is increased, the
rplots have less scatter. (fne f value of 0.00000475 at a time of
o
720 minutes for the 1.0 MPa pressure is close to the absolute minimum
of 0.00000.30, but the sensitivity of the log-ìog p'lot has resulted
in the ln 3 value of -L2.?57 be'ing far off the regression fit forro
the rest of the data for 720 minutes.) Moreover, as a check of the
va'l 'idi ty of thi s method of estimati ng the m exponent , val ues of al I
four terms of Equat'ion (2.62) were calculated for all pressures using
values of o1, Lr and m close to the average values quoted at the bottom
of Table 5.8. The first two terms of Equation Q.62) were shown to
be, in fact, negl igÍbìe ('i.e. less than L0%) compared to the last
two terms, after about L20 minutes in the high pressure range and
after about 360 minutes at the lowest pressure of 1.0 HPa.
In summary, a proposed method of analysis using the modifjed
second-order fluid model is as follows:
1) Estimate an. initial value of the exponent m by p'lotting the
minimum ln 3 versus ln 1. To satisfy the requ'irement thatrsrîothe first two terms 'in Equation (2.62) are negligible'
,^o
values should be selected at a time of at least 120 minutes.
For the multistage tests, a mín'imum p should be selecteclro
148
for each pressure stage, not necessarily at the same t'imes.
A sense of the qua'lity of t!'e est'imation of m may be ga'inedrP^
by the goodness of fit of ln I o.rsus ln T. Points whichro¿. are obviously "out of tune" w'ith the rest of the points may
be rejected.
2) Use the program QSUN with the estimated value of m from 1),
and optimize the values of o1, u and m. As the optimization
subroutine uses only the first section of the experimental
cavì ty radi us versus time curve ( as computer costs woul d
be excessjve if the whole experimenta'l curve were used),
the fit at the end of the creep curve may not be too good.
3) Fine tune the estimates of q1, g and m by by-passing the
optimization subroutjne and manua'lìy inputting values of
a1, U and m. The best fit to the entire experimental curve
may then be found by slightly adjusting the creep parameters
in each successive computer run.
Thi s method of ana'lysi s has been used to process the mul ti stage
pressuremeter creep tests in this thesis.
5.3.3 Analysfs of the K¡Itistage Fressure¡reter Creep Tests Usinq
the Hodified Second-Order FIuid hbdel
The multistage pressuremeter creep tests have been ana'lyzed
using the method proposed 'in the previous sectjon.
5.3.3.1 Analysis of Hultistage Test #
The pìots ot p versus timero
Test # 10 may be found in Appendix
l0
for each stage of mul ti stage
B, Figs. 8.9 to 8.13. As there
149
iis a certain amount of waviness in most of the ¡f versus time p'lots,
o
an attempt was made to determine an "average minimum", i.e. a value
m'idway between the crests and troughs of the waves.. The values whjch
were selected are tabulated in Table 5.10, while ln ff u.rrr, lt +is plotted in Fig. 5.45.
Two linear regression analyses were performed on the ln PD
--r - ro
versus ln j data: one with stage # 5 included and the other without¿
it. As stage # 5 was only 390 minutes ìong, there is some doubt as
to whether in fact the mjnimum 3 was attained. It is assumed,ro
therefore, that a m of -0.710 with stage # 5 omitted is a better
estimate. The results of the two linear regression anaìyses also
indicate the sensitivity of m to the data; a very sìight shift in
the regression line has resulted in a change in m from -0.724 to -0.710,
which is qu'ite significant. To illustrate this significance, in the
anaìysis of the test with a pressure of I.25 MPa, m was changed from
-0.705 to -0.700 while c1 and U were kept constant. ER1 climbed from
a maximum of 16% in the first case to a maximum of 52% in the second.
The creep parameters giving the best fit to the experimenta'l
creep curve are as follows:
u = 6. o0 MPa (mi n )m+1
a1 = 120.0 MPa (min)m+2
m = -0.705.
The curve generated using these parameters and the experimental curve
are plotted on Fig. 5.46. As is seen in this figure, the fit of the
predicted curve to the experìmentaì curve is quite good.
150
5"3.3.2 AnaTysis of Wultistage Test # 3.1
The plots of p versus time for each stage of multistagero
Test # Il may be found in Append'ix B, Figs. 8.14 to 8.18. Because
of the variat'ions in ff *ith time, it was diffjcult to determine minimum
rn ':. . -iovalues of - with precision. In this case, minimum values of;= werero ro
determjned both by referring to tne p versus tíme pìots and byro
calculating an average cavìty expansion rate djvided by an average
radjus for the latter part of each stage. These values are tabulated
in Table 5.11 and plotted in Fig. 5.47.
Aìthough a good fit was obtained using al I of the poìnts
for al I stages of the test ( curve (u ) of Fi g. 5. 39 ) there i s reason
to question whether or not a minimum p value was reached during theFg
first three stages; for one thing,'it was found difficult to arrive
at estimates of minimum 3 values at 1.50, L.75 and 2.00 MPa.ro
Furthermore, as was noted for the previous test, a small error inFg
estimat'ing;Y values (wh'iìe leading to only a sljqht shift in thero
regression line) can serious'ly influence the value of m. A shift
from curve (a) to curve (b) in Fig. 5.47 resulted in a change in m
from -0.509 to -0.573. Gjven these difficulties, it seemed prudent
to base m on the last two stages of the test; this resulted in an
m of -0.650.
An m of -0.650, when. used in QSUN' produced a creep curve
whì ch substant j aì'ly overestimated the cavi ty radi us at any g'iven time.
The predícted curve may be shifted closer to the experímental results
by lowering the value of m. After a number of iterations, the optimum
values of the creep parameters were determined to be:
u = 6.00 l'lPa (mi n )m+1
151
cl = 120.00 MPa (min)m+Z
m = -0.695.
The fictitìous creep curve, generated using the above creep parameters,
and the experimentaì creep curve for Test # 11 are compared l'n Fig.
5.48.
5.3.3.3 AnaTysis of t4ultistage Test # 12
Plots of 3 versus t'ime for each stage of multistage Testro
# L?. may .be found in Appendix B, Figs. 8.19 to 8.22. The minjmum
values of 3 for the first three stages, âS Figs. 8.19 to B.2IF6
.illustrate, are well defined without the dispersion found in the
previous two multistage tests.. Since the fourth stage is only about
480 minutes 'long, the minimum p value for thjs stage may be in doubt.. ,o io
The minimum & vatues are listed in Table 5.L2, whíle minimum ,n iro P-
values are p'lotted against ln j in Fig. 5.49.
As Fig.5.49 illustrates, good fits to the data were obtained
both with and without stage # 4. As is becoming apparent, however,
the determinatjon of m is extreme'ly sensitive to the selection of
the data points. Movement of the data points up or down sìightìy'
or excludÍng one or more data points changes m by severaì hundredths'
The iterative process built into QSUN is, therefore, critjcal to the
success of the modified second-order fluid model; QSUN checks the
in'itial creep parameters against the actual experimental data and
the parameters are refined as necessary. This iterative step is missing
in the strain-hardening, power ìaw creep model analysis.
The best fit creep parameters determined by QSUN were:
u = 5. 9o MPa (mi n )m+1
cl =
m=
120.00 MPa (min)m+2
-0.7 10.
t52
of multistage Test
8.32. The minimum
5.13; minimum ln t'o
ro
ln b versus l. P'ro ta.
The creep curve generated using the above creep parameters, and the
experimenta'l curve are compared in Fig. 5.50.
5.3.3.4 Anaìysis of.Multistage Test # 13
Plots of 3 versus time for each stagero
{ 13 may be found in Appendix B, Figs. 8.23 toFgi values for alì 10 stages are compiled in Tablero
P^values are ploted against 'ln j Ín Fig. 5.51 .
As Fjg.5.51 illustrates, the graph of
becomes markedìy curved in the lower stress region, particularly for
stages # l, 2 and 3, at 0.25, 0.50 and 0.75 MPa respectively. These
resul ts , therefore , have been left out of the I i near regressi on
anaìysis. The ana'lysis performed with the remaining stages, # 4,
to 10, gives a very good fit to the data and an m of -0.697.
According to QSUN, the best fit creep parameters were:
u = 6.oo MPa (min)m+l
a1 = 12o.oo MPa (min)m+2
m = -0.704.
The creep curve generated using the above creep parameters,
and the experimental creep curve are compared in F'ig. 5.52.
5.3.4 Comparison of Experimental Single Stage Pressurereter Creep
Curves and Predicted Creep Curves Using the fudified Second-0rder
FluÍd Mdel
In order to assess the predictive capabi'lity of the modified
153
second-order fluid model, fictitious pressuremeter creep curves have
been generated using the best-fit creep parameters from the multistage
tests (Tab'l e 5. 14) . These fi cti ti ous curves are compared to the
experìmental si ng'l e stage pressuremeter creep curves at equ'i val ent
pressures. The predi cted and experimenta'l curves are compared i n
terms of cavity rad'ius versus time, rather than strain versus time
as with the strain-harden'ing, power law curves. The predicted curves
have been generated usìng QSUN.
The predi cted versus experimentaì curves are i I I ustrated
in Figs. 5.53 to 5.84. The maximum difference between the predicted
and the experimentaì curves, in terms of ERi (Equation 5.12) for cav'ity
radii greater than 41.00 fiffi, are given in Table 5.15. The major
findings from these comparisons are:
1) The creep parameters derived from Tests # 10,11 and 13
typical'ly overestimate the real deformation wh'ile those f rom
Test # 12 typical'ly underestimate the real deformation.
2) Except at I.25 and 1. 5 ?,lPa , the di f ference between the
experimentaì and predicted curves (in terms of tRl), using
the creep parameters from Tests # 10, 12 and 13 to generate
the predicted curves, is less than 25%.
3) SÍnce al i s constant for al I four sets of parameters and
¡l varies on'ly for Test # 12, it may be assumed that m
primarily controls the predicted creep curves. As is seen
from Table 5.15, the highest m (-0.695) gives the greatest
overestimation whj le the lowest m (-0.710) gives a sì ìght
underestÍmation. The other two m va'lues, -0.705 and -0.704,
give predictions between these two timits. Goìng strictìy
754
on the relatÍonship between the ER1 values and m, an m value
between -0.705 and -0.710 would probabìy give the best overall
fit to all of the experimenta'l curves.
As was the case with the strain-hardening, power law creep
comparisons, the predicted creep curves using the modified second-order
fluid model are in reasonable agreement with the experimentaì singìe
stage curves over the time period 'in question. The creep parameters
derived from Tests # 10 and 13 predict the deformation rates throughout
the comparison time period rather well. The creep parameters from
Test # 11 and 12, predict deformation rates at the end of the comparison
period rather poorly. The prediction of deformation rate is an
important consideration when using pressuremeter creep data to
extrapolate creep curves to longer time periods.
5.4 RELATIOI{SHIP BETHEEN THE STRAIhI-HARDENING, POWER LAH CREEP M)DEL
AND THE !'{0DIFIED SEC0ND-0RDER FLUID ruDEL
As d'iscussed previousìy, the strain-hardening power law
creep model, defined bY;
ln (f;) = r tb ,(5.1)
may represent either primary creep if b < L or secondary or steady-state
creep if b = l. It may not represent both primary and secondary creep
at the same time.
If Equation (S.f¡ is differentiated w'ith respect to time
the fol lowìng resul ts:
d¡T llnr-)=Fbtb-1' ri'
(5. i3)
The left-hand-side of Equation (5'13) may be re-written as:
å, rr. s)l = fÐ ,h,*r (r(t)) = *fÌTherefore;
i(t) = i = r u tb-l and substjtutinq for F yields:TTt) = r
i = ¡/=3 ,,n+1 rilb tSln ¡ tb-1 15.15)
I-'2 ' \b' 'nrc
For steady-state creep, b = 1 and Equation (5'15) becomes:
i-,/3,,n+1 . r2Pcrn (5.16)F= \-T) 'c \ñ*t '
Integrating Equation (5.16) qives;
+ = (+)n*1 Ë. tftln ot;
rn titsl = (+)n*1 Ë. tz.ftr't '
r(t) = r(0) exp [{f )n*1 ;. tzfrlt tt (5'i7)
Thus, the cavity radius will increase exponentia'lly w'ith tìme under
steady,state conditions, s jnce +ft) increases w'ith increasing time'
The creep curves illustrated in Fig. 4.1 show this exponent'ia'l increase
in r to be the case for the single stage tests in the entire pressure
range from 1.0 to 2.5 MPa.
Aswaspoìntedoutear].ier,whenthefjrsttwotermsof
Equation(2.62¡becomenegligible,themodjf.iedsecond.orderflujd
modelreducesessentiallytothepower-lawfluidmodel;i'e':
155
( 5. 14)
io . P. (m+1).,,r/(m+1) (2.64)
156
of theNow comParing thi s to the
stra'in-harden'ing power law creep
î = t/3 ìr+1 å. tzlq lni - \ 2 ' ' lìoc'
it is 'ins'nediately evident that
right-hand-sjde are equaì and that:
steadY- state
model; i.e.:
ì...p f orm
the two expressions
(5.16)
on the
1n=m (s.ta)
Thus, the creep exponents for both models may be compared when a
condition of secondary or steady-state creep exists or nearìy ex'ists;
i.e. þ = 1 for the simp]e power law model and the first two terms
of Equation (2.62) become neqliqible. In order to compare the deqree
of variation in the creep exponents determined for the two models
from the multìstage tests, the m values from the modified second-order
fl ui d model have been converted to an "equi val ent" n val ue (Tabl e
5.16). Analyses have shown that the creep rate Io approaches a constantF9
value in the multjstage tests w'ithin about 300 minutes' so secondary
creep dominates beyond this time. These n values thus represent the
dependence of the secondary or steady-state creep rate on the appl'ied
stress. From Table 5.16 'it may be seen that there 'is much less
variation in the equivalent n values using the modified second-order
fl ui d model ana'l ysi s than the n val ues determi ned usi ng the
stra.in-harden'ing, power law creep analysis. The sign'ificance of thjs
is discussed in the next chaPter'
In suffrnary, Creep curves which fit the experìmentaì sìng'ìe
stage test curves reasonab'ly well have been generated by both the
stra.in-hardening, power law creep model and the mod'ified second-order
r57
I
fluid model, using the best fit creep parameters derived from the
multistage tests. However, there is much more variation in the
relationship between secondary creep rate and stress (represented
by n) us'ing the strain-hardening power law ana'lysis than using the
modifÍed second-order fluid model. As the solution of most
boundary-value problems in ice and ice-rjch frozen soils using a power
law creep formulation are strongly dependent on the value of n, this
variation can be important. The importance of n is discussed in detajl
in the next chapter. In addition, the relationship between the
multistage tests and singìe stage tests wi I I be exp'lored further.
Final ly, recommendatÍons wi I I be proposed concern'ing both the
pressuremeter testing technique and the method of analysis.
Trì
al N
o.
TA
BLE
5.1
Cre
ep P
aram
eter
Det
erm
inat
ion,
Str
ain-
Har
deni
ng P
o¡ve
r La
w
Cre
ep F
lode
l; H
u'lti
stag
e T
est
l0
Al I
data
poi
nts
Om
it da
ta p
oint
sst
ase
( 1.
5 M
Pa
)
Om
it da
ta p
oint
sst
aqe
( 1.
5 M
Pa
)po
i nts
'in
f i r
stof
oth
er s
taqe
s
Cre
ep D
ata
Use
d
from
firs
t
from
firs
tp1
us
data
90 m
inut
es
Ran
ge in
b
0. 5
8-0.
98
0.85
-0.
98
0.92
-0.
99
b A
vera
ge
0.85
0.92
0. 9
6
-t.3
7
2.43
3.28
F1
0. 0
0025
7
0. 0
0001
24
0 . 00
0005
16
o. (N
Ra
)
0.93
0.72
(¡ co
Tria
l No.
TA
BLE
5.2
Cre
ep P
aram
eter
Det
er¡n
inat
ion"
Str
ain-
Har
deni
nq P
orer
Cre
ep $
bdel
; l{u
ltist
age
Tes
t ll
Cre
ep D
ata
Use
d
Al I
dat
a po
'ints
Om
it da
ta p
oint
s fr
om fi
rst
stag
e (1
.50
MP
a) p
lus
data
poin
ts in
firs
t 60
min
utes
from
oth
er s
tage
s
Ran
qe in
b
0.48
-0.8
8
0.85
-0.9
1
b A
vera
ge
Law
0.72
0.90
-2.3
3
2.7
9
F1
0.00
0893
0.00
001
I 1
oc (M
Pa)
0.89
(tl (o
Tri
a'l N
o.
TA
BLE
5.3
Cre
ep P
aram
eter
Det
erm
inat
ion,
Str
ain-
Har
deni
ng P
ower
Law
Cre
ep &
lode
l; M
ultis
taqe
Tes
t 12
All
data
poi
nts
Om
it da
ta p
oint
s fr
om fi
rst
stag
e (1
.50
MP
a) p
lus
data
poin
ts in
firs
t 90
min
utes
from
.oth
er s
taqe
s
Om
it da
ta p
oint
s fr
om fi
rst
stag
e ( 1.
50 M
Pa )
and
use
data
po'in
ts b
etw
een
90 m
inut
es a
nd1,
440
min
utes
for
the
rem
ain-
inq
stag
esCre
ep D
ata
Use
dR
ange
in b
0. 5
6-0
. 97
0. 9
6-0.
99
b A
vera
ge
0. 9
5-0.
98
0.83
0. 9
7
-3.3
2
4.53
0. 9
6
F1
0.00
0682
0. 0
0000
172
4.14
0.
0000
0240
o. (m
Pa
)
0.59
0. 6
4
¡J Oì
O
Tria
l No.
TA
BLE
5.4
Cre
ep P
aram
eter
lþte
rmin
atio
n, S
trai
n-H
arde
ning
Cre
ep l{
odel
; i{u
ïtist
age
Tes
t 13
All
data
poi
nts
Om
it fir
st 3
sta
ges
(0.2
5,0.
50,0
.75
MP
a) p
lus
first
90 m
inut
es o
f da
ta in
rem
aini
nq s
taqe
s
Om
it st
aqes
with
pre
ssur
es0.
25 to
1.5
0 in
clus
ive
plus
first
90
m'in
utes
of
data
inre
mai
ning
sta
ges
Cre
ep D
ata
Use
dR
anqe
in b
0.29
-0.9
5
0.83
- 1.
00
Pow
er L
aw
b A
vera
qe
0.94
-1.0
0
0. 6
9
0.93
-0.6
0
r.79
0.97
F1
0.00
0093
9
0.00
0013
7
2.63
0.
0000
0735
oc (M
Pa)
1.22
0.81
l-¡ Oì
Tria
l No.
TA
BLE
5.5
Cre
ep P
aran
rete
r D
eter
min
atio
n" S
trai
n-H
arde
ning
Pow
er L
aw
Cre
ep $
lode
l; S
ingl
e S
tage
Tes
ts
I 2
All
data
poi
nts
Om
it te
sts
at 1
.0,
1.25
and
1 . 5
MP
a ;
use
data
poi
nts
betw
een
90 a
nd 1
,440
min
utes
Use
dat
a po
ints
bet
wee
n1,
440
and
14,4
00 m
inut
es;
al I
test
s
Om
it te
sts
at 1
.0 a
nd 1
.25
MP
a;us
e da
ta p
oint
s be
twee
n I"
440
and
14,4
00 m
inut
es
0mit
test
s at
1.0
and
1.2
5 Ì'l
Pa;
use
data
poi
nts
betw
een
600
and
14,4
00 m
inut
es
Cre
ep D
ata
Use
d
3a 3b
Ran
ge in
b
0.62
-0.7
4
0.65
-0.8
1
b A
vera
qe
0.76
- 1
.05
0. 7
1
0.73
0. 9
8- 1
.05
1 . 00
3.
4s
0. 0
0000
309
3.26
0.99
0.89
-0 .
98
0. 9
4
F1
0.00
0039
4
0.00
01s0
5
0.90
0.
0000
198
"._
(MP
a)
1.00
2.85
0.9s
3.37
0.
0000
0534
r.7
6
0. 6
8
0.71
cont
'd.
Oì
N)
ïria
l N
o.
6
Cre
ep D
ata
Use
d
Use
test
dat
a fo
r pr
essu
res
at 1
.25
and
1.50
l.lP
a; o
mi t
data
in fi
rst
11,0
00 m
inut
es
tntft
) be
twee
n 0.
01 a
nd 0
.03;
al I
test
s
I n
({;)
U.t*
een
0.03
and
0.0
7 ;
al I
test
s
t n
(f;)
bet
wee
n o.
o7
and
o. 1
o;
al I
test
s
I n
(f¡)
s".
uter
tha
n 0.
10;
al I
test
s
I
TA
BLE
5.5
(C
ont'd
. )
Ran
qe in
b
1 .0
9
b A
vera
ge
1.09
0.61
-0.7
5
0.77
-0.8
6
0.90
- 1.
04
0.99
-1.1
4
0. 6
9
0.85
0.98
1 .0
6
4.03
0.0
0000
0976
F1
3. 5
3
3.92
3. 4
1
3.97
oc (M
Pa)
0. 5
6
0.00
0030
4
0.00
0007
68
0.00
0003
56
0.00
0001
41
7.02
0.73
0.71
0. 5
7
P Ot
(^,
TABLE 5.6
Best Fit Creep Parareters for the
Using the Strain-Hardening Power
F4uT ti stage Tests
Law Creep þdeì
164
oç (MPa )Test No. b Averaqe F1
10
11
T2
13
0. 96
0.90
0. 96
0.97
3.28
?.7 9
4.14
2.63
0.72
0.89
0. 64
0.81
0.0000052
0.0000111
0. 0000024
0.00000735
ro-- îorro
TABLE 5"7
the SinqIe Stage TestsMinfnm¡
PressureD
t 'C,n-Test No.
2
6
3
4
7
5
9
I
0.223
0. 118
0. 00
0. 00
-0. 134
-0. 288
-0.470
-0. 693
f'linimum þro
(min-i)
=9.6696969( 1 )
0.0000430
0. 0000310
0. 0000315
0.0000185
0. 0000100
0. 0000050
0. 0000030
(1)
(MPa)
?.50
2.25
2.00
2.00
1.7 5
1. 50
L.25
i. 00
Difficult to determine
are missing.
i f this is the minimum because data points
i65
rn iero
- 9. 433
- 10.054
- 10. 382
- 10. 366
- 10.898
-11.s13
-72.206
-72.717
Tes
t N
o.
TA
BLE
5.8
Cre
ep P
aram
eter
Det
erm
inat
ion,
hdi
fied
Sec
ond-
0rde
r F
luid
lfud
et;
Sin
gle
Sta
ge T
ests
Pre
ssur
e(
Ìapa
)
2.s0
2.25
2.00
'2.0
0
1.75
1. 5
0
t.25
1.00
pa ra
met
ers
4 7
( M
Pa
1fi|n
¡m
+z
1
9 IA
vera
ge c
reep
100.
00
105.
00
100.
00
100.
00
100.
00
120.
00
120.
00
120.
00
108.
0
(1)
For
cav
ity r
adiu
s gr
eate
r th
an 4
1.00
mm
u( tlP
a (m
i n )
m+
1 ¡
6.00
5.90
5.90
6.00
6. 3
0
6. 3
0
6. 3
0
6. 3
0
6.L2
5
-0.7
02
-0.7
07
-0.7
07
-0.7
05
-0.7
05
-0.7
05
-0.7
07
-0.7
05
-0.7
05
Max
imum
Err
or(
1)(E
R1
%)
10 10 1l t2 11 10
lJ Or
Oì
Tes
t N
o.
ro ro
TA
BLE
5.9
at 1
20,
360"
and
720
Ffin
utes
for
2 6 3 4 7 5 9 I
Pre
s s
ure
(MP
a)
2. 5
0
2.25
2.00
2. 0
0
1.75
1.50
r.25
1 .0
0
.Pc
,nz
0.22
3
0. 1
18
0.00
0 .0
0
-0.1
34
-0.
288
-0.
470
-0.6
93
io ro
120
Min
utes ln
(mi n
- 1)
0.00
0093
50
0 .0
0006
7 5
0.00
0041
0
0.00
0042
0
0.00
0035
0
0.00
0017
0
0.00
001s
4
0.00
0011
8
thê
Sin
gle
Sta
ge T
ests
io ro
- 9.
277
- 9.
603
- 10
. 10
2
- 10
.079
- 10
.260
- 10
.982
- 1 1.
081
-11.
347
ro ro
360
Min
utes ln
(mi n
- 1)
0.00
0080
0
0.00
0052
0
0.00
0032
4
0.00
0037
8
0.00
0022
3
0 .0
0001
44
0.00
0008
6
0.00
0004
7
ro ro
- 9.
433
- 9.
864
- 10
. 33
7
- 10
. 18
3
- 10
.711
-11.
148
-11.
664
-t2.
268
720
Min
utes
rotn
ro(m
'¡n-1
)
=0.
0000
800
0.00
0045
0
0.00
0033
0
0.00
0031
3
0.00
0019
1
0 .0
0001
14
0.00
0006
1
0 . 00
0004
7 5
io ro
- 9.
433
- 10
.009
- 10
. 31
9
-r0
.37
2
- 10
.866
-11.
382
-r?.
007
-72.
257
or --¡
168
ffiinimun þro
TABLE 5.10
VaIues f-or Each Stage of P{ultistage Test l0
Stage No. Pre s sureP^1nì Mi nimum
(mi n- 1
.ioro
-i1.218
- 10.802
- 10. 284
- 9.827
- 9.385
ioIo)
1
2
3
4
5
(MPa )
1. 50
L.7 5
2.00
2.25
2.50
-0.288
-0.134
0.00
0. 118
0.223
0 . 00001 34
0.0000204
0.0000342
0.0000540
0.0000840
169
Hinimunrono
TABLE 5" 1.1
Val ues for Each Stage of Hultistage Test L1
Stage No.
1
2
3
4
5
Pre s sure
(MPa)
1.50
r.75
2.00
2.25
2. 50
D, rctnz Fli n i mum
(mi n- 1
ln þFg
roro)
-0. 288
-0. 134
0.00
0. 118
0.223
0.0000250
0.0000350
0.0000436
0.000054s
0 . 00007 36
- 10. 597
- 10. 260
- 10.041
- 9.817
- 9.5r7
Stage No. Pre s s ure
(Npa)
1.50
1.75
2.00
2.25
Ninimum bro(mi n- 1)
0.000010s
0 . 0000 180
0.0000310
0.0000545
170
.ioln -ro
-1r.464
-70.925
- i0. 382
- 9.817
Hinimumroro
TABLE 5. 12
VaIues for Each Stage of t{ultistage Test L2
DlnT
-0. 288
-0. 134
0.00
0. 118
T7I
ffiinimwnioro
TABLE 5"13
Vaïues for Each Stage of ffiultistage Test n3
Stage No.
3
4
5
6
7
8
9
10
Pre s sure
(MPa)
0.25
0. 50
0.75
1 .00
1.25
1.50
7.75
2.00
2.?.5
2.50
¡,tinimum þ-ro
(mi n- 1)
Dr 'Ctnz .ioIn
-ro
1
2
-2.079
- 1. 386
-0.981
-0.693
-0. 470
-0. 288
-0.134
0.00
0.118
0.223
0.0000013
0.0000010
0.0000025
0 ,0000040
0.0000070
0. 0000120
0.0000210
0.0000345
0.0000540
=0.0000780
-13.553
-13.816
-r2.899
-r2.429
-11.870
-11.331
-r0 .77 r
-to .27 5
- 9.827
,9.459
TABLE 5. 14
Best Fit Creep Paranete¡'s fon the ffiultistage Tests
Using the tudified Second-0rder Fluid þdeï
172
m l'laximum ErrorTest No. al tl(MPa (m'i n )m+2 ) (MPa (mi n )m+1 I
120. 00
120.00
120.00
120. 00
(ERi %)
6.00 -0.705 10
6.00 -0.695 72
5.90 -0.7 i0 10
6.00 -0.704 =15
10
11
T2
13
Fro
mT
est
No.
l0 lt t2 l3
Cre
ep P
aram
eter
sU
sed
mu
TA
BLE
5.1
5
Hax
im¡m
Err
or B
etw
en P
redi
cted
Cre
ep C
urve
s U
slnq
the
lbdl
fied
Sec
ond-
0rde
r F
luld
Þbd
el a
nd E
xper
lnen
tal
Sln
gle
Sta
ge C
reep
Cur
ves
-0.7
05
6.00
-0.6
95
6.00
-0.7
l0
5.90
-0.7
04
6.00
dl
120.
00
120.
00
120.
00
120.
00
Tes
t I
( 1.
0 llP
a )
+ 1
3
+10
9
-14
+20
Err
or in
Fit
Bet
wee
n P
redi
cted
Cur
ve a
nd S
ingl
e S
taqe
Tes
ts(E
Rl i
n Í
for
Cav
ity R
adlu
s G
reat
er T
han
41.0
0 n¡
n)T
est 9
Tes
t 5
Tes
t 7
Tes
t 3
Tes
t 4
Tes
t 6
Tes
t 2
(1.2
5t'lP
a) (
]_.!g
_Ife
l (1
.7sl
'lPa)
(2.
00M
Pa)
(2.
00r'l
Pa)
(2.
25M
Pa)
(2.5
0MP
a)
+38
+l
36
+ ll
+46
Pre
dict
ed c
urve
ove
rest
imat
es
expe
rimen
tal
curv
e
Pre
dict
ed c
urve
und
eres
timat
es e
xper
irent
al c
urve
+?6
+10
6
-8 +32
+19
+90 -t2
+24
+16
+78 -16
+21
+ 1
3
+ 7
5
-16
+18
+15 +77 -6 +20
-10
+45 -2?
+6
! CÐ
L74
TABLE 5.16
Comparison of Creep Exponents; Strain-Hardening, Poær l-aw
Creep fudel and Hodified Second-Order Fluid &bdel
n Exponent (from n Exponent (n = #)Murtistase Test No' Strali-!il:;.ü:3.Ti''" (tä:i.T'Élll:'-:::ii'-
10
i1
72
13
3.28
2.79
4. t4
2.63
??o
3.28
3. 45
3. 38
L75
fc
o.t
o.or
o.oot
o.ooot
o.ooool
o.oot
o.ooot
o.oooor
o.ooooot
roo rooo loooo looooo
TIME (minutes )
n=ton Ê
FI
to
Í¡I
u-
o.ro
Figure 5.1 Creep pararneter determinationpressuremeter creep test
r.o
PRESSURE (MPo)
ro.o
2.502.252.OO1.75t.50Pc (MPo)
'zb=tono
F¡ l.50 MPo
from a simulated multistaqe
be
zú.t-(./,
J
t-t¿ldUJt!=.JQÉc)
176
r 00 200 300 100 500 600
TIME
2.00
1.75
1.50
'" (l{Pa)
t.-LIL
g
0.0100
0.00r
0 .0000
TIME (MINUTES)
I 000 l 0000
5.2 Circumferentialal I data
strain and tn (ft) versus time, l.1S Test 10;
?00 800 900 ¡ 000 r I 00 I 200 I 300 I 100
( Hr NUTES )
Fi gure
177
-oI{J
LL
PRTSSURE (MPa)
PRESSURE (MPa )
Fi gure 5. 3 F and b versus pressure , F'lS Test 10; al I data
Iba
Iz.
1
ÉFu1 b
J
F-z1UJd.t¿l ru-==(-)¿É.(Jl
0
178
t 0000
600 ?00 tì00 900 r000 rr00 1200 1300 1400 I500
TIME (MINUTES)
2.50
?.2s
2.00
1.7 5
r. (HPa)
s00,r 00200t00
t.-LIL
E
0 .00
Figure 5.4 CircumferentialStage I omi tted
r00
TrMr (¡{rNUTES )
strain and ln (fr) ve"sus time, þ1S Test 10;
179
-oI+)
u-
ì.0
PRESSURE (MPa)
PRESSURE (MPa)
Figure 5.5 F and b versus pressure, llS Test Stage I omj tted
bs
z.
Ét--t¿l
J
t-z.tJJÉUJu-EJc)É.(J
180
2.50
2.25
2 .00
1.75
P. (tlPa )
l.r!lL
E
0.00r
5.6 Ci rcumferenti alal I data
TrMr (MTNUTTS)
60 ?0 80 90 r00 ll0
( Mr NUTES )
Fi gure strai n and I n (fr) u.rtus time, MS Test 11;
18i
-a¡+J
l!
1.8 t.9
PRESSURE
pressure, l,ls
PRESSURE (NPa )
?.o 2.t
( I'lPa )
Test 11,
?.?
Figure 5.7 F and b versus al I data
2.5
182
be
z.
É.FVIJ
l-þJÉ.UJl!Jc)Éc)
t.-tlr
E
6? .5 't2 .5 't1 .5 8? .5
TIMT
TIME (MINUTES)
Fi gure 5 .8 Ci rcumferenti al strai n and 'l n
Stage 1 omjtted
8?.5 92.5 97.5 102.5 r0?.S 112.5 ll?.5
( MI NUTES )
2. 50
2.25
2. 00
1.75
P. ( l{Pa )#
(f;) o.tsus time, l{S Test 11;
183
0 .0010
-oIP
l-L
10 .0
PRESSURE (l'lPa )
¿.1 ¿.¿
(¡tpa )
Figure 5.9 F and b versus pressure, l,1S Test 11; Staqe l omitted
be
zÉFv,J
F--ztJJÉ.Ldll-=c)ÉL)
t0
I
I
"t
i84
2.00
1.75
2.25 1.50
P. ( l{Pa )
1
3
2
I
600100 800 r 000 r 200 l I 00 r 600 l 800 2000 2200 21 00 2600 2800
TIME (HINUTES)
100
TIME (MINUTIS)
t.-LIL
c
Fi qure 5. 10 Ci rcumferenti alal I data
strain and ln (ft) versus time, tlS Test i2;
185
-oIP
l!
PRESSURE ( l,lPa )
I.1 t.8 t.9 ?.O
PRESSURE (MPa)
versus pressure, l4S Test 12; allF'i gure 5. 11 F and b data
{
3
2
I
be
z.
É1-tJ',
J
t'--z.lrJÉl¿JU-
¿c)É.CJ
c 100 200 300 {00 500 600 ?00 800 900 1000 I 100 1200 1300 1100 1500
TIME (MINUTES)
2.002.?5
1.7 5
P. ( l{Pa )
186
10000
l.-LIL o.ol
g
TIFIE ( MINUTES )
Fiqure 5.12 Circumferential strain and tn (fr) versus time, l'''lS Test 12;Stage 1 omitted
187
-o!+)
l¿
0 .001
0 .0000 r
PRESSURE (MPa)
I .90 I .95
PRESSURE
/
2.00 ?.05 2.to 2.r5 ?.20
(MPa)
Figure 5.13 F and b versus pressure, l.{S Test 12; Staqe 1 omitted
ba
z.
É.F-aJ1
J
FztJJÉ.lJJLJ(-)É(-)
2. 50
188
))<
P. (HPa )
2.00
0.750 .25
.50
600 700 800 900 r 000 r r 00 I 200 I 300 I 100 1500
TIME (MINUTES)
TrME (FTTNUTES)
t.-LIL
5. 14 Ci rcumferenti alal I data
strain and ln (fr) u.rtrt
? .25
2.OO
1.75
1.50
1.25
1.00
0. 75
0. 50
P. (llPa )
Fi gure time, FIS Test 13;
189
-oI+J
¡r
r0.0
PRESSURE (MPA)
1.0 1.2 1.4 1.6
PRESSURE (MPa)
Figure 5.15 F and b versus pressure, 1'lS Test 13; all data
be
zH
ÉFU)
J
Fz.llJÉl!u-=J(JÉc)
i90
500 600 ?00 800 900 1000 ll00 1200 1300 1100 1500
TIHE (MINUTES)
{00
t.-LIL
E
0 .000 l
TIME (MINUTES)
I 0000r 000
Ci rcumferenti alStages L, 2 and
strain and ln3 omitted
(|) versus time,'ri '
P. (HPa )
2.
,á,
2.25
2.00
1.75
1.50
1.25
I .00
P. ( l{Pa )
Fìgure 5.16 MS Test 13;
191
-oI+)
l¿-
0 .0000 r
PRESSURE (MPa)
r.6 r.7 r.8 1.9 2.O 2.1
PRESSURE (HPa)
?.3 2.1 2.5
Figure 5.17 F and b versus pressure, l4S Test 13; Stages 1,2 and 3
omi tted
2.?
è.e
zÉt-U'J
t--zL¡Jæl+lL:EL)Éc)
t92
r00 200 300 100 500 600 ?00 800 900 1000 tl00 1200 1300 1100 ls00
TIME (MINUTES)
t.-LIL
ç
2.2s
2 .00
I.75
P. (llPa)
t 000
0 .001
TIME (MINUTES)
I 0000
(r ) versus'ri '5. 18 Ci rcumferenti al strai n and I nStageslto6omitted
Fi gure ti me , l4S Test 13;
193
-oI+)
¡J-
0 .0000 I
PRESSURE (MPa)
0.
0 .91
t.?5 2.05 2.r5 2.25
PRESSURE lMNa)
/
Figure 5.19 F and b versus pressure,14S Test 13; Stages 1 to 6 omitted
be
z.
Ét-t¡,J
F=LrJÉt-tJu-=J(-)É.HL)
20000
5.20 Circumferentialtests; all data
30000 4 0000
TIl-lE (MINUTES)
194
I 00000
time, single stage
50000
t.-¡'l ¡-
TIME (IitINUTES)
strain ancl tn (f;) versus'l
ooñ o
P. (HPa)a
NnO
N
Pç ( l{Pa )
" C'-Ðgl
¡l-
Fi gure
-oI+)
u-
0.00t
0 .0000 r
195
t0.01.0
PRESSURE (MPa )
0.
o.1
o.7
0.
0.?t
0.
0.6
0.6
0.6
0.
0.
0.6
0.6
0.6
1.6 r.8 ?.O
PRESSURE (MPa )
F and b versus pressure,Figure 5.21 si nql e stage tests; al I data
be
zÉt-a.r,
J
t-zt!Él!LtJ(-)ÉHrJ
196
P. (HPa )
f-;il-' ' '
4000 6000 8000 10000 12000 11000
TIME (MINUTES)
2.00 I .7 5
1.50
t.zs
I .00
P. (HPa)
l 000 l 0000 I 00000
TIME (MINUTES)
0.
l.-!l!
=0l0.
00r100
F.igure 5.22 Circumferential strajn and-ll.!å) ,versus t'ime, singlestuõ."tãtii; ãutã bàtween 1,440Iånd 14,400 minutes used
-oI{J
l-L
797
ÂA
0 .0000 I
5.23 F andI ,440
PRESSURE (HPa)
b versus pressure, sing'le stage tests; data betweenand 14,400 minutes used
JRE (l'lPa )
Fi gure
be
Ét--t/)JHt--zUJÉtrJI-LE)L)Éc)
198
P. (HPa )
20
I
I
0
l.-LIL
E
f-C;--';;å; soåo 8000 10000 12000 r{000
TIME (MINUTES)
Pc (HPa )
I 00 I 000 I 0000 I 00000
TIMT (MINUTES)
00t0.
Fi gure 5.24 Ci rcumferenti al stra'in and f n (!) versus time , si ngl e
staõã tãsts; omit tests at 1.00'1 and 1.25 l4Pa
-oIP
l!
0 .000 I
0 .0000 I
199
I '0
pRESSURE (Mpa)
t.9 2.t 2.1
PRESSURE lNea)
versus pressure, s'in91e staqe tests; omjt tests
and 1.25 MPa
10.0
0.
0.9
o.
0.
0.9
0.9
0.9
0 .91
0.
0.
0.
0 .8?
0.8
F'i gure 5.25 F and b
at 1 .00
22.
20.
Èc z. ú t--
aJ1 J F. z L¡J
É.
LI u- = ¿ (J É H (J
t'l .
15.
t2.
10.
PR
D 1
0: p
redi
cted
cre
epP
aram
eter
s fr
om
7.5
curv
e us
inq
cree
pl4
S T
est
10
5 2 0
.0 .5 .0
200
Fig
ure
5.26
Pre
dict
ed v
ersu
s ex
perim
enta
l cre
ep c
urve
s'cr
eep
mod
el;
2.50
IlP
a
400
.L1t
5'
600
800
9Rs.
I 00
0 12
00
TIM
E (
MIN
UT
ES
)
1400
l 600
stra
j n-
hard
en'in
q P
ower
ì aw
I B
ÛO
2000
22tO
f\) a O
15.0
èe z H ú F l,r', J H l-- z. L¡J
É.
LlJ L = =q) É (-)
t2.
PR
D 1
0:
t0.
pred
i ct
edpa
ram
eter
scr
eep
curv
e us
lng
cree
pfr
orn
llS T
est
10
400
Fiq
ure
5.27
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es,
stra
in-h
arde
ning
pow
er 'la
w
cree
p m
odel
; 2.
25 l[
Pa
800
r 20
0 I 60
0 20
00
TIM
T (
MIN
UT
ES
)
2 40
028
0032
00
f\) ()
be z. É.
l-- t!1 J l-- z. UJ É lrJ lJ- = = L) É (-)
PR
D 1
0: p
redi
cted
cre
eppa
ram
eter
s fr
omcu
rve
usin
g cr
eep
llS T
est
10
600
I 20
0
*+:
Fig
ure
5.28
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es,
stra
in-h
arde
ning
pov
rer
1aw
cree
p m
odel
; 2.
00 l4
Pa
l 800
1R$
2400
1O
1s$
3000
36
00
4200
TIM
E (
MIN
UT
ES
)
lss
\j
$
1\
4 80
054
0060
0066
00
l\) O f\)
be z É t- U'' J F-- z UJ É l¡J lJ- = L) d. (J
PR
D 1
0: p
redi
cted
cre
ePpa
ram
eter
s fr
omcu
rve
usin
g cr
eep
l'lS
Tes
t 10
I 00
0
1$$
\j
2000
Fig
ure
5.29
Pre
djct
ed v
ersu
s ex
perim
enta
lcr
eep
mod
el ;
7-7
5 Î:î
Pa
"-;
3000
qq!
1S
lRs
4 00
0
\\
5000
60
00
TIM
E (
MIN
UT
ES
)
?RD
\?-
7 00
0
cree
p cu
rves
, st
rain
-har
deni
ng p
ower
1aw
8000
9000
l 000
011
000
N) o (¡)
ùs z É. F tt1 J F- z. L¡J É tlJ lr E = c) É L)
25
PR
D 1
0: p
redi
cted
cre
ep c
urve
usi
ng c
reep
para
met
ers
from
llS
Tes
t 10
20
2000
40
00
6000
Fjq
ure
5.30
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es'
cree
p m
odel
; 1.
50 l4
Pa
B 0
00
TIM
E
I 00
00 I
200
0
( M
r N
UT
Es
)
I 40
00 I
600
0 I 80
00 2
0000
stra
in-h
arde
njnq
pow
er 1
aw
N) o Þ
ùa d. l- Lt'l J F z. trl É IJ t-L = J (J æ.
(J
PR
D 1
0: P
redi
cted
cre
ePP
aram
eter
s fr
om
25 20
curv
e us
'ing
cree
pl.1
S T
est
10
5000
oooo
ç
F'iq
ure
5.31
Pre
dict
ed v
ersu
s-ex
perim
enta
l cr
eep
curv
es '
cree
p m
odel
; 1'
25
l4P
a
es$-
*
ïq$
1S
I 00
00
l.g 1ç,1
I 50
û0
2000
0 25
000
TIM
t (M
INU
TE
S)
n*o
tt
3000
0
stra
in-h
arde
ning
Pow
er la
w
3500
040
000
¡\)
O (tr
bs z æ F-
Lr1 J t-- z, UJ É.
LrJ u- =(.) É c)
PR
D 1
0: p
redi
cted
cre
ePpa
ram
eter
s fr
om
20
curv
e us
lng
cree
pItl
S T
est
10
I 00
00
Fig
ure
5.32
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es,
stra
in-h
arde
ning
pow
er la
wcr
eep
mod
el;
1.00
MP
a
2000
0
PR
S *
dn' r
iQ
$s'
3000
0 40
000
TIM
E (
MIN
UT
ES
)
5000
0
PR
D 1
2
6000
070
000
t\) O Oì
- 9.
O
-to.
o
-11.
oo
In# to
-12.
o
+ 2
: T
est *2
- r3
.o
,r/
,//u
z + I
-r4.
o
.2 z/ '/' 6
- o.
80 -
0.60
-o.
40 -
o.20
,nä
ton
C =
I m+
l
F'iq
ure
5.33
ln 3
ver
sus
ln 3
, sj
nsle
sta
ge te
sts
ro¿
I in
ear
regr
essi
on a
naly
ses
a) T
est#
2om
itted
rZ =
0.9
919
'l -l- =
3.4
37m
+l
m =
-0.
709
b) T
ests
#2an
dSom
itted
rZ =
0.9
970
1, =
3.7
3I
m+
r
m =
-0.7
32
o.oo
o.20
f\, a \
208
Read Data:
xpt. Fg vS. trressure, to, m
CALL SUB. INITIAL
for Ínitial values
Subroutine Initial:curve-fitting subroutine
which calculates rs and
ro for a g1 ven IIni ti al Val ues :
t6, l"9 r Fg
CALL SUB. INITIAL
for values i9 = Q
CALCULATE INITIAL
g and o1
Subrout'ine ZXSSQ:
optimization ofa1, [, m using a
portion of the expt.
curve
CALL ZXSSQ
CALL RNUM
Subrouti ne RNUI4:
numenical sol ut'ion
of equation of motion
us'inq Runge-Kutta
method
alculated rsversus time curve
using optimized
U, 01, m
Fiqure 5.34 Simplified flowchart for proqram QSUN
î#r1
1 a
ug$
t' f
+
Â
î î i
*oiu
r,nt
**
240.
00
l\) a (.o
îîî
+
210
.00
îîî
I 8U
.00
F.ig
ure
5.35
Bes
t fit
cr
eep
curv
e, m
odifj
ed s
econ
d-or
der flu
id m
odel
; S
.S.
Tes
t 2
150
.00
x10'
1 20
.00
n1 IN
i
(:l ? cl tn
/\ +
90 .0
ûT
I H
I
O O
Jr-
=*
^1¿
L+-|
-
a -C)
to f-ì
.<-
cf <
'E
.
F(]
HO ct <
"(-
J
60 .
00
4Þ4$
++
++ 30
.00
O ? co_
an0
.00
O ? O LN O O
rr-
TS a --l o
-O f-l s
CI'+
É_ l-- c
lH
O cr <
-(J
O C]
c0_
rrì '0
.00 Fìg
ure
5.36
Bes
t fit
cr
eep
curv
e, m
odjfi
ed s
econ
d-or
der flu
id m
odel
; S
.S.
Tes
t 6
40.0
0B
0 .0
012
0 .0
0 1 60
.00
20u
. rju
24
0 .0
û 28
0 .0
0T
IIlE
(11
lN)
xlO
l
*ç-s
ç]l
,Ë*t
*tot
320
.00
N) o
c) ? O tr) O C:]
Ir-
t=t
(t)
--l o
_O f-l
.<-
cf<
É.
l-- o
H
C:J
cf 'ú
(-J
O OI
co_
ar) 0
.00
,ffi
Fjq
ure
5.37
Bes
t fjt
cr
eep
curv
e, m
odifi
ed s
econ
d-or
der flu
'id m
odel
; S
.S.
Tes
t 3
10.0
0
#-d
20 .
003û
.00
T I
I1E
4U.0
0(t
l IN
)50
.0u
x 10
260
.00
70 .
0080
.00
N)
O ? O U) O C:]
=r-
=*
u-)
---ì
o-ç
¡f-
l v
C-+
v_ FO
HO cts
(-J
O O cD_
rn0
.00 F'ig
ure
5.38
Bes
t fit
cr
eep
curv
e, m
odjfi
ed s
econ
d-or
der flu
id m
odel
; S
.S.
Tes
t 4
10.0
020
.û0
30 .
00T
I H
E40
.0u
Î1 IN
I50
.0t1
x 10
260
.00
70 .
00B
0 .0
0
¡\)
l\)
O ? (:l tn O cl
Er-
=*
U)
-- c
ltc
)
l--l s
Cs
É.
FO
HO Cf \t
(J
'(f ? CD -o
'. oo Fig
ure
5.39
Bes
t fit
cr
eep
curv
e, m
odifi
ed s
econ
d-or
der flu
id m
odel
; S
.S.
Tes
t 7
14.4
028
.80
,*-'s
43.2
0T
I I1
E
{-
c{st
st
57.6
0(l1
INI
1?.O
Ox
102
86.4
01 00
.80
1i5.
20
l\) H (,
O ? O LD O (]E
r--
=*
(t) --lo
_O fl .q
(J s
t
É.
FO
-O cs (-J
C] ? æ rl.ll 0
.00 Fìg
ure
5.40
Bes
t fit
cr
eep
curv
e, m
odifi
ed s
econ
d-or
der flu
id m
odel
; S
.S.
Tes
t 5
25 .
0050
.00
75 .0
0T
i I1
EI 00
.00
I 25
.00
11 I
N )
x 10
'I 50
.00
I 75
.00
200
.00
f\) H Ã
O ? O tf) O O
rr-
=*
(.t) --l c
l_O f-
t ç
C.ú
É.
l-- o
HO cfs
C-J
O C]
cr]
añ0
.00
Fìg
ure
5.41
Bes
t fjt
cr
eep
curv
e, m
odjfi
ed s
econ
d-or
der flu
jd m
odel
; S
.S.
Tes
t 9
50 .
00I 00
.00
*r'.N
1 50
.00
T I
IlE
4çf
stS
r
200.
0û
250.
00
300.
00
3s0.
00(
11 I
N )
x 10
'40
0.00
f\) H (tl
O ? C]
tn O O
Jr-
=*
(n -O -c)
Cl -
tG
$É
.
F-
Cl
>'+
cf .
r(-
J
O ? CD rrl 0
.00
F'ig
ure
5.42
Bes
t fit
cr
eep
curv
e, m
odifi
ed s
econ
d-or
der flu
id m
odel
; S
.S.
Tes
t I
10.0
020
.00
$,f-
q
30 .0
0 40
.0û
TIIl
E t
IlIN
]50
.00
x 10
360
.00
70 .
00B
0 .0
0
l\) Oì
(n 3 õ fr lrj t- fr z. I Ø z. fL >< bJ L à ()
200
rBo
r60
t40
t20
roo
BO 60 40 20
o
.E E
(o I O =
o.oo
18
. oo
3
6. O
O
Fi g
ure
5.43
Cav
ity e
xpan
sion
rat
es'
ing1
e st
aqe
test
s
Pc
(MP
o)
2 .5
0
54.O
O 7
2.O
O 9
0.O
O lO
8.O
O
TIM
E (t
ul|N
) x
lol
/ ra
dius
ver
sus
time;
com
pila
tion
of fi
rst
1,44
0
2.?5
1.75
rr .5
0
2.O
O
t26.
OO
l44.
OO
min
utes
of
the
l\) P -_J
-9.O
-to.
o
,r*
+
l2O
Min
ules
+
'o
360
Min
ute "
*y'
x T
Í:lM
inut
es
y+
2: T
est N
umbe
r -4
tl'.¿
l 6
I
9-8+
)il?
'-il
.o
- r2
.o
o -,
o ,.-
t"
^/
l,-4:
/"r
/ ,/
/ -1
,-r
3.o
-r4.
o - o.
90-o
.70
- o.
50
roF
i our
e 5.
44 I
n -
'ro
Line
ar r
eqre
ssio
n an
alys
es
a) 1
20 m
inut
es;
Tes
t #
8om
i tte
drZ
= 0
.714
5'l ,l
- ?.
511
r+m m =
-0.
602
b) 3
60 m
inut
es; al
l tes
tsrZ
= 0
.995
6
- 1
= 3
.059
Irm m
= -
0.67
3
- o.
30 -
o. ro
o.o
o o.
ro
ln
vers
u s
si n
ql e
Pc ?
ln ?
for
tim
esst
fge
test
s
c)72
0an
d
Y2 1
lJm
m
o.30
of 1
20,
min
utes
; T
est
# 2
Tes
t #
I om
itted
= 0
.998
9
= 3
.440
= -
0.70
9
360
and
720
ninu
tes,
l\) F¡
c)c
- B
.O
-9.O
ln
+l :
Sto
ge N
umbe
r
ÍO ro-t
o.o
-t t.
o
-r2
.o - o.
40 -
o.20
l'ine
ar r
eqre
ss'io
n an
aìys
es
a )
al I
data
poi
nts
rZ =
0.9
934
1 -i =
3.6
2r+
m m =
-0.
724
b) S
tase
#5om
itted
12 =
0.9
924
-1 =
3.4
53t+
m
m
= -
0.71
0
Fiq
ure
5.45
ln 3
ver
sus
ln å
qro
¿
o.oo
lnP
c 2
o.20
l'1S
Tes
t 10
l\) \o
(:) ? O LN O O
=r-
=*
(t) --lo
-O f-'ì.
+cf
sÉ
. l--o
HO G$
LJ
cl ? CO -o
'. oo Fig
ure
5.46
Bes
t fit
cr
eep
curv
e, m
odifi
ed s
econ
d-or
der flu
'id m
odel
; l'1
S T
est
10
80.0
0I 60
.00
z40.
oo
320.
00
400.
00T
Illt
(tliN
l x1
0'48
0 .0
056
0 .0
064
0 .0
0
l\) f\) O
- B
.O
@
ln {q
-ro
. o
to
- 9.
O
,Ën
'4:d
7
S to
ge h
lum
ber
-t t.
o
-r2.
o - o.
40 -
o. 2
0 0.
oo
o.20
.pc
'n2
I in
ear
regr
essi
on a
naly
ses
a)
all
data
poi
nts
12 =
0.9
924
- 1
= 2
.036
r+m m =
-0.
509
U)
omit
Sta
ges
# 1
and
2
rZ =
0.9
863
1 ' i
= 2
.34I
l+m m =
-0.
573
c) o
mit
Sta
ges
# 1,
2 a
nd 3
1 ft =
2.8
57
m =
-0.
650
Fiq
ure
5.47
ln P
ve
rsus
ln k
, [
tS T
est
1tro
¿f\) f\)
O ? O Lr)
C]
O
Er-
a -lo -cl
O'+
CJS
E-
l-- o
HO (rtÛ
(J
O ? @_
rrì o
.00 Fig
ure
5.48
Bes
t fit
cr
eep
curv
e, m
odifj
ed s
econ
d-or
der flu
id m
odel
; M
S T
est
11
B0
.00
I 60
.00
240
.00
320
.00
400
.00
T I tlt
nl l
N )
480.
00
BE
ST
FlT
EX
PE
RIM
EN
TA
L
560
.00
640.
00
f\) N)
t\)
-8.O
-9.O
@ ro roIn
+
-ro.
o
Sto
ge N
umbe
r
-il.o
-r2.
o - o.
40 -
o.2
0
ln
Fiq
ure
5.49
ln P
ve
rsus
ro
I in
ear
regr
essi
on a
naly
ses
a) a
ll da
ta p
oint
s
r? =
0.9
951
1 =l-
- 4.
04l+
m m =
-0.
752
b) o
mit
Sta
ge #
4
rZ =
0.9
982
1 =i
= 3
.751
Irm m
= -
0.73
3
o.oo Pc 2 D
tnä
o.20
,1r1
S T
est
12N
)f\) (^
)
cl ? O a cf (]
=r-
-- -í
-
a ---t
(:l
_(]
f--ì
-+
al- s
É.
l--- o -
>*
cts
(-J
O C]
@_
arì '0
.00
Fig
ure
5.50
Bes
t fit
cr
eep
curv
e, m
odifj
ed s
econ
d-or
der flu
id m
odel
; M
S T
est
12
l4 .4
02B
.80
M
43.2
0 57
.60
T I
I1E
( 11
I N
]12
.OO
x 10
286
.40
I 00
.80
1 15
.20
fu l\) À
, -l
l.o
ln iq to
-t2.
o
*l:S
toge
Num
ber
-?.o
Fjq
ure
5.51
ln P
ve
rsus
ln 3
, M
S T
est
13F
6¿
-1.2
Line
ar r
egre
ssio
n an
a'ly
ses
a) S
tage
s #
I" 2
and
3om
i tte
d
rZ =
0.9
940
- I
= 3
.305
r+m m =
-0.
697
,nä
o.o
b) S
taqe
s #
L" 2
, 3
and
4 om
itted
rZ =
0.9
982
-1 =
3.5
30r+
m
m
= -0
.717
o.4
l\) N)
(n
O ? O tf) Cf
O
rr-'
=* a -lo -o l--l -
tC
I <
t
É_
È-
c)
-o cts
(-J
cf ? OJ
rn0
.00
F'ig
ure
5.52
Bes
t fit
cr
eep
curv
e, m
odifi
ed s
econ
d-or
der flu
jd m
odel
; llS
Tes
t 13
2U .0
040
.00
60 .
00T
I I1
E80
.00
(HiN
]1 00
.00
x 10
tI 20
.00
140.
00I 60
.00
f\) ^)O)
O ? O LN O O
Ir--
I.f U)
-OtÇ) l-1
.*cr
$É
.
FO c-
-)
>-
cf$
(-J
a¡4$
++
++
O ? co_
rrì 0
444
.00
Fìq
ure
5.53
Pre
dict
ed v
ersu
s ex
perim
enta
l cre
ep c
urve
s, m
odifi
ed2.
50 l4
Pa;
1'1S
Tes
t 10
par
amet
ers
used
for
pred
'ictio
n
ê
30 .
00
^À åå
f
60 .
00
+.*
a,+
Ä
aÃ
a
,*"-
tlts*
:i+
A'
þtot
o
90.
TI
00 11E
I 20
.00
11 IN
I xl
1l 00
.00
I B
0 .0
0
seco
nd-o
rder
flui
d m
odel
210.
0024
0 .0
0
N)
t\) !
O ? O LD O O
tt- =*
U) -lo -cl
f-ls cts
É. l--o
HC
]
ct \
rL)
s#îîî
O ? CD
ÂA
Î.+
rrì 0
.00
30 .0
0 60
.00
QsÊ
$qt$
^
^^^
aÂ
F.ig
ure
5.54
Pre
dict
ed v
ersu
s ex
perim
enta
l cre
ep c
urve
s, m
odifi
ed s
econ
d-or
der flu
jd m
odel
,-
2.50
MP
a; l
"lS T
est
11 p
aram
eter
s us
ed fo
r pr
ed'ic
tjon
A**
+*
t*t
Lt
++
'
¿ê
A
-++
r -*
r1È
L
ÉJ'
lÉS
ltttv
'''
90 .0
0 I 20
.00
I 5.
0 .0
0itr
r (H
iN)
xto'
++
+
1 80
.00
21 0
.00
240.
00
f\) l\) æ
O ? O a C] O
Ir-
=*
U) --ro
-o l-l -
tC
sfu_ È
-oH
O af$
(J4S
4¡+
+åa
a
O ? O-
"b
*ÅÅ
.00
30 .
00
F'ig
ure
5. 5
5 P
redí
cte
d2.
50
l4P
a ;
+ ô
'*o*
t'n:Y
t.+
+r+
++
^^^
**'
 Â
l^^
^^^
pRÉ
Dlg
lED
60.0
0
vers
us e
xper
imen
tal
cree
p cu
rves
, mod
ified
l'lS
Tes
t 12
par
amet
ers
used
for
pred
ictio
n
90 .0
0 l 2
0 .0
0 I 50
.00
TIIl
E (
11lN
l x1
0r
++
+
a4
^Á
180.
00
210.
00
seco
nd-o
rder
fluj
d m
odel
,
z40.
oo
l\) l\) \o
O ? O a O (]rr
-IS <n --l o
-"O
l--l -
tC
ISE
. l- c)
HO Gs
(J*d
***
C] ? co_ -o
++
+
.00 Fìg
ure
5.56
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es, m
odifi
ed s
econ
d-or
der flu
id m
odel
2.50
MP
a; M
S T
est
13 p
aram
eter
s us
ed fo
r pr
edìc
tion
+
30.0
060
.00
¿a
ÁÂ
Å
,*"*
t*tl;
À å
sord
Éo
90 .
00T
I I1
EI
2U .0
0 1 50
.00
11 IN
I xl
O'
I 80
.00
2i0.
0024
0 .0
0 1\)
(¡)
O
cf ? O U]
O O
tr-
=*
a ---lo
- çt
Os
ct <
"
E.
FO
HO Þ*
cf .û
(J
O ? @
.00 Fig
ure
5.57
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es,
mod
ifjed
sec
ond-
orde
r flu
id m
odeJ
,2.
25 lf
iPa;
MS
Tes
t 10
par
amet
ers
used
for
pred
ictjo
n
40.0
080
.00
I 20
.00
1 60
.00
TIIl
E (
IlIN
]
PR
ÉS
}*}
,Ë*t
*tot
200
x10r
.00
240.
00
280.
00
320.
00
1\) (,
C:] ? C)
LN (:) O
=r-
=s
U)
-- c
l-o l-l
sC
tE
. l--o
H(] cfs
(J
O cf cD_
-o.0
0
Fig
ure
5.58
Pre
dict
ed v
ersu
s ex
perì
men
tal
cree
p cu
rves
, mod
'ifie
d2.
25 l(
Pa;
MS
Tes
t 11
par
amet
ers
used
for
pred
ictio
n
40.0
0
-ç$
est$
:d
80 .
0020
.00
I I
I1E
t.Ë**
t*
60.0
0IN
]20
0x1
0'.0
0 24
0 .0
0
seco
nd-o
rder
flui
d m
odel
"
280
.00
320
.0u
f\) (, N)
cl ? O LC)
C]
(f
rr-
I$ r_n -
c:l
to r-l$
Cs
É_ FO
H c
:)
CI9
LJ
cf ? @ rr) 0
.00
40 .0
0 80
.00
Fì gu
re 5
.59
Pre
di c
ted
vers
us2.
?5 l4
Pa;
l4S
Tes
t
I 20
.00
I 60
.00
z0û
.00
TIIl
E (
11lN
) x1
0'ex
perim
enta
ì cr
eep
curv
es, m
odifi
ed12
par
amet
ers
used
for
pred
ictio
n
ErP
ÉR
lI:)I
[;
ñtot
ttto
240
.00
280
.00
seco
nd-o
rder
flui
d m
odel
,
320
.00
l'\)
(¡)
(¡)
O ? (:l to O O
tr-
=*
a -- c:
f-ç
)f-
l st
cf s
t
É.
FO
HC
]
crs
L)
(f ? CD -o
'. oo Fìg
ure
5.60
Pre
dict
ed v
ersu
s ex
perim
enta
l cre
ep c
urve
s, m
odjfi
ed2.
25 l{
Pa;
MS
Tes
t 13
par
amet
ers
used
for
pred
ictio
n
40.0
080
.00
1 20
.00
I 60
.00
T I
NE
I 11
I N
)
PR
É01
*
,Ë**
*
200
xi0'
.00
240.
00
seco
nd-o
rder
flui
d m
odel
,
280
.00
320
.00
l\) (^, Þ
O ? O TJ) O O
ur-
I.+ (t)
-'--ì
c:)
-c)
Cl'+
CI
<+
É_ l--o
Hcl
CI-
$(J
cl ? co -o'.
oo Fig
ure
5.61
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es, m
odifi
ed s
econ
d-or
der flu
id m
odel
,2.
00 Ì'
lPa
(Tes
t 3)
; ta
S T
est l0
par
amet
ers
used
for
pred
ictjo
n
W
l0 .0
0
d-d
20.0
030
.00
T I
I1E
40.0
0$1
IN)
50 .
00t 0'
60.0
û10
.00
80.0
0
f\) (, c.¡r
O ? C]
Lfl cl O
Jr-
t.f U)
--t o
-O -.q rild.
É_ FC
IH
O cf -
r(-
J
O ? c0
.00
Fig
ure
5.62
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es, m
odifi
ed s
econ
d-or
der flu
id m
odel
,2.
00 l*
lPa
(Tes
t 3)
; la
S T
est
11 p
aram
eter
s us
ed fo
r pr
edìc
tion
l0 .0
0
ø-$
s"g\
qt'
*ddo
*-s
20 .
0030
.00
T I
I1E
40.0
0(N
IN]
50 .
0010
'60
.00
10.0
0.0
0
N)
G,
Oì
Cf ? O tn O O
rt-
L U)
--ro
-c)
f-l .
qcf
sÉ
_ FO r-
--ì
>"{
Ct'r
t(J .O
? CD
.00 Fìg
ure
5.63
Pre
djct
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es,
mod
ified
sec
ond-
orde
r flu
id m
odel
,2.
00 M
Pa
(Tes
t 3)
; t.t
S T
est
12 p
aram
eter
s us
ed fo
r pr
edíc
tion
10.0
0
#-$Ë
20 .
0030
.00
T I
I1E
40.0
0î1
IN
I50
.00
10'
60 .
0070
.00
80.0
0
t\) (, {
O ? O Lll
O O
Ir-
=Ú
U)
-O -()
f-l s Is E.
FO
HO CI
-1(J
O O cD-
cr) IJ
.00 Fìg
ure
5.64
Pre
dict
ed v
ersu
s ex
perjm
enta
l cr
eep
curv
es, m
odjfi
ed s
econ
d-or
der flu
id m
odel
,2.
00 M
Pa
(Tes
t 3)
, l4
S T
est
13 p
aram
eter
s us
ed fo
r pr
edìc
tion
-.1t
$es
r$:d
10.0
0
w*
#
20 .
00
s
30 .
00T
I I1
E40
.00
(MIN
)50
.00
10,
60 .
0070
.00
80.0
0
l\) G)
@
O ? O LD O cl
rr-
=* a -lo -OH O'+
CI
Sf
E.
F_
Cf
HO crs
(J
cf C:) æ_
cr),
- U.0
0
Fì gu
re 5
.65
Pre
di c
ted
vers
us e
xper
imen
tal
2.00
l4P
a (T
est 4)
; Ì4
S T
est
10
10.0
020
.00
30 .0
0T
I I1
E40
.00
11 IN
)
cree
p cu
rves
, mod
ified
sec
ond-
orde
r flu
id m
odel
,pa
ram
eter
s us
ed fo
r pr
edic
tion
50 .
00x
102
60.0
070
.00
BO
.00
N) (, (O
O ? O tn O (]Ir
-
=- a -(]
t() n-f
Cs
É_ FO
HO
Cfs
(-J
c) C)
I@
_rr
ì tJ
.-rs
.00
Fig
ure
5.66
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es,
mod
ified
sec
ond-
orde
r flu
id m
odel
,2.
00 M
Pa
(Tes
t 4)
; N
S T
est
11 p
aram
eter
s us
ed fo
r pr
edic
t'ion
10 .0
0
ñ*
20.û
030
.00
T i
I1E
40.0
0(t
1 IN
I50
.00
x 10
260
.00
70 .
00B
0 .0
0
t\) Þ o
O ? O LN O O
rt-
=*
(.t-
) -ìo
-()
O-t
CI
-Û
E-
FO
HO
[$ (-J
O ? CD -o
.00
I 0 .0
0 20
.00
30 .0
0T
I I1
E
Fìg
ure
5.67
Pre
dict
ed v
ersu
s ex
perim
enta
l2.
00 M
Pa
(Tes
t 4)
; l.1
S T
est
12
t-rt
s:ìq 6f
*'..1
Ç$
PR
tSr"
40 .0
0 50
.00
60 .
00(
11 I
N I
x 10
'cr
eep
curv
es, m
odifi
ed s
econ
d-or
der
para
met
ers
used
for
pred
'ictio
n
70 .0
0
fl ui
d m
odeJ
,
80.0
0
l\) Þ Þ
C:] ? (:l
LD c) (]tr
r-_.
úL a --
-\ c
:f-(
)l--
-ì v
CJ$
v. FO
HO (rv
(J
C]
OI
O_
at-l 0
.00 Fig
ure
5.68
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es, m
odifi
ed s
econ
d-or
der flu
id m
odel
,2.
00 l{
Pa
(Tes
t 4)
; M
S T
est
13 p
aram
eter
s us
ed fo
r pr
edic
tion
t0.0
020
.00
30 .0
0T
I I1
E40
.00
(l1 iN
)50
.00
X 1
0260
.00
70 .0
080
.00
N) è t\
O ? O tn O C:]
tr-
IS (n --)
cl-c
lf-
.ì -t
CI
ST
E.
F_
C3
r--)
>*
c-+
C-)
'cl O co_
crl U
.00
Fig
ure
5.69
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es,
mod
ified
1.75
MP
a; M
S T
est
10 p
aram
eter
s us
ed fo
r pr
edic
tjon
l4 .4
0
-.'{s
2B .8
0
'SË
o-"
43.2
0T
i I1
E57
.60
n1 IN
)12
.OO
x 10
286
.40
seco
nd-o
rder
flui
d m
odel
.80
t5.2
û
N) Þ (^)
O ? O an O O
Ir-
=*
U)
----
ìo-o f--1
.<-
crs
E.
F-O
HO cts
CJ
.O ? CO ctl
I
0 .0
0 Fig
ure
5.70
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
1.75
l4P
a; M
S T
est
11 p
aram
eter
s us
ed
14 .4
02B
.BO
S**
-"
curv
es, m
odi f
ied
for
pred
ictjo
n
86.4
0
seco
nd-o
rder
flui
d m
odel
,
1 00
.80
ll5.z
0
f\) Þ Þ
O ? O a O cl
=r-
--+¿
_ U)
--r
cl-c
)H fls C
sV
-
FO >-
CT
ST
-)
O Cf
co_
afì '0
.00
Fìg
ure
5.71
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es,
mod
ified
1.75
MP
a; M
S T
est
12 p
aram
eter
s us
ed fo
r pr
edic
tion
14.4
02B
.80
*r's
q
43.?
BT
i I1
E
o6to
to
57 .
60il1
IN)
1?.O
Ox
102
86.4
0
seco
nd-o
rder
flui
d m
odel
I 00
.80
I l5
.20
l\) Þ ctr
O ? O U) O (]
Ir-
=* a --ìo
-o H. f-lç
CI'S t l-o HO
CT
S(-
J
Cf ? C
D -o.0
0
Fìg
ure
5.72
Pre
dict
ed v
ersu
s ex
perim
enta
l cre
ep c
urve
s, m
odifi
ed s
econ
d-or
der flu
id m
odel
,1.
75 M
Pa;
MS
Tes
t 13
par
amet
ers
used
for
pred
ictio
n
l4 .4
8
^ag$
e$ç%
2B.B
O
,*{Ë
**-"
43.2
0T
I I1
T57
.60
(l1 IN
)12
.OO
x 10
286
.40
1 00
.8û
I l5
.20
l\) Þ Ol
cl ? O LO C:] O
=r-
=*
(n --l o
_O H. -$ 6s É. l--o
-o Þ- cts
(J
O ? Cf] -o
'. oo Fig
ure
5.73
pre
dict
ed v
ersu
s ex
perim
enta
l cre
ep c
urve
s, m
odifi
ed s
econ
d-or
der flu
jd m
odel
,-
1.50
MP
a; M
S T
est
10 p
aram
eter
s us
ed fo
r pr
edic
tion
25 .
00
-"'s
50 .
00
'Ñ*-
"
75 .
00T
I IlE
I 00
.00
I 25
.00
( M
I N
J
x 10
,I 50
.00
l 75
.00
200
.00
f\) å \.1
O ? O L.tf-
)
O O
=r-
-
=*
u-) -lo _O f-
-'ì .
í-
Ctt
É-
FO
HC
]
cf<
(J
(:l ? C
O -o'.
oo Fìg
ure
5.74
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es, m
odifj
ed s
econ
d-or
der flu
id m
odel
,1.
50 M
Pa;
l4S
Tes
t 11
par
amet
ers
used
for
pred
ictio
n
25.0
050
.00
,Ñ*-
'
75.0
0 I0
0.u0
I2
5.00
TIIl
E (
11lN
) x1
0'I 50
.00
I 75
.00
200
.00
l\) å æ
O ? O LD O O
Ir- rs U)
-ì c
:l-ç
)flq Is É
_ FO
HO Is (-J
O O cD-
cr| 0
.00
Fiq
ure
5.75
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es, m
odifi
ed1.
50 M
Pa;
MS
Tes
t 12
par
amet
ers
used
for
pred
'ictio
n
25 .0
050
.00
*rts
75 .
00T
I I1
E
o6to
to
I 00
.00
I 25
.00
( tl
I N
I x
10'
I 50
.00
seco
nd-o
rder
flui
d m
odel
I 75
.00
200
.00
l\) Þ \o
cl ? O tr) cl cl
Er-
-IS Lr
)-l
cl_O l-l
.q
q.f,
E. l--o
-o ct$
(-J
'O O cD_
-o.0
0
Fig
ure
5.76
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es, m
odifi
ed s
econ
d-or
der flu
id m
odeJ
1.50
MP
a; M
S T
est
13 p
aram
eter
s us
ed fo
r pr
edic
tjon
25 .
0050
.00
,Ñ*-
'
75 .
00T
I IlE
I 00
.00
I 25
.00
( 11
I N
I x
10'
I 50
.00
1 75
.0û
200
.00
f\) (.¡l o
cl ? (:l a O O
Jr-
=*
U)
---lo
-OH n-r
Cs
V.
FO
HO cr<
(J
O ? @ -o'.
oo Fig
ure
5.77
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es, m
odifi
ed s
econ
cl-o
rder
flu
id m
odel
,1.
25 M
Pa;
l,1
S T
est
10 p
aram
eter
s us
ed fo
r pr
edic
tjon
50 .
00
-ç$
qrc$
I 00
.00
,*#*
-"
150.
00
200.
00
250.
00T
IIlE
(11
iN)
xlO
'30
0 .0
035
0 .0
04
00 .
00
N)
(tl
H
O ? cl Lrl
O O
=r-
E<
-
a -O -o H f-l
ç(r
\r.
É.
FO
-o Cf
rú(J
O O cD_
-o.0
0 Fig
ure
5.78
Pre
djct
ed v
ersu
s ex
perjm
enta
J cr
eep
curv
es, m
odifi
ed1.
25 I
'lPa;
l',lS
Tes
t 11
par
amet
ers
used
for
pred
ictio
n
50 .
00I 00
.00
Sñ-
'
50 .
00T
I I1
E20
0.00
25
0.00
30
0.00
11 I
N )
x 10
'
seco
nd-o
rder
f 'l
uid
mod
el ,
350
.00
400
.00
t\) (tl t\)
O ? (:l ln (:l
O
tr-
I9 U) --ìo
- çt
f--l
-tC
.r-
É FC
IH
O c$ (-J
C] ? co -o'.
oo Fig
ure
5.79
Pre
dict
ed v
ersu
s ex
perim
enta
'l cr
eep
curv
es, m
odjfi
ed s
econ
d-or
der flu
jd m
odel
1.25
l'lP
a; I
'lS T
est l2
par
amet
ers
used
for
pred
ictio
n
50 .
00
. "1
tseR
rDk
1 û0
.00
ffi'*
-"
I 50
.00
200
.00
250
.00
300
.00
350
.00
400
. Û
0
TIIl
E (
11lN
l x1
0'
1\) (, (,
O ? (] rf) O (:l
rr-
TS a --)
c:)
_O H. l--l.q
(r s
tE
. l--o
HO ct<
(-J
C:) ? @
.00
Fig
ure
5.80
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es,
mod
ified
sec
ond-
orde
r flu
jd m
odel
,1.
25 l
lPa;
MS
Tes
t 13
par
amet
ers
used
for
pred
ictio
n
50.û
0
-."s
:
I 0Û
.00
*ø{t
onrv
t.\Îf'
sr' '
50 .
00T
i I'l
E20
0.00
25
0.00
30
0.00
35
0.00
11 I
N )
x 10
'40
0 .0
0
f\) (tr
.Þ
O ? O a O C]
r[-
=s
(n -OO
f-'ì
sct
<E
.
FO >-
ct -ú
(-) O O co
lar
) 0.u
0
Fìg
ure
5.81
Pre
dict
ed v
ersu
s ex
perim
enta
l cre
ep c
urve
s, m
odifi
ed1.
00 M
Pa;
MS
Tes
t 10
par
amet
ers
used
for
pred
ictio
n
l0 .0
020
.00
,*"s ñ*
0"
30.
TI00 11
E
40.0
0il1
IN)
50 .
00x
103
60.0
0
seco
nd-o
rder
flui
d m
odel
,
70.0
080
.00 a.
N)
(tr
ctr
O ? O a O (:l
tt--
r-f
u-)
---)
cl
_O H. O.q crs
É.
FC
IH
(] Þ*
cts
(J
C]
O co
.00
Fig
ure
5.82
Pre
dict
ed v
ersu
s ex
perim
enta
l cre
ep c
urve
s, m
odifi
ed1.
00 M
Pa;
MS
Tes
t 11
par
amet
ers
used
for
pred
'ictio
n
10.0
020
.00
'Ñ*-
"
30 .0
0T
I I1
E40
.00
Î1 IN
)50
.00
x 10
360
.00
seco
nd-o
rder
fluj
d m
odeJ
,
70 .
00B
0 .0
0
l\) (t'r
Oì
(f ? cl a O O
tr-
r-+
(n -l cl
_O []s (r'Û
É.
l-- (
fH
O cts
(-J
O O col
rrì 0
.00
Fig
ure
5.83
Pre
dict
ed v
ersu
s ex
perim
enta
l cr
eep
curv
es,
mod
ified
1.00
MP
a; M
S T
est
12 p
aram
eter
s us
ed fo
r pr
ed.ic
tion
20 .
00
*-r{
s
30 .0
0T
I I1
E
o6t*
to
40.0
0n1
iNl
50.0
0x
103
60 .
00
seco
nd-o
rder
flui
d m
odel
,
70 .
0080
.00
l\) (tr \¡
C]
?Oa
OO
Jr-
=*<J)---l cf_O
l--ì sCJ'TIrFO
a---)
>-Cf st(J
O?co-o'. oo
Fìgure 5.84 Predjcted versus experimental creep curves, modifjed1.00 l.lPa; MS Test 13 parameters used for pred jction
10.00 20 .00 30 .00T I I1T
40.00n1 iN)
50 .00x 103
60.00
second-order flujd model,
70 .00 80 .0u
l\)CN@
259
CHAPTER 6
DISCUSSION OF RESULTS OF THE PRESSUREMETER CREEP TESTIruG
PROGRAH Iru ICE
In this chapter, the relationship between the multistaqe
and sinqle staqe pressuremeter creep tests'is explored. The princ'ipaì
question that 'is asked is: Are the creep parameters derived from
relatìve'ly short term multistage pressuremeter tests the same as the
parameters derived from lonq term sinqle stage tests? In other words,
can long term creep under constant loacl be predicted from short term,
nult'i-stress level testinq? This question is examined in terms of
both the strain-hardeninq, power law creep model and the modifjed
second-order fl ui d model . Si nce the pressuremeter test specimens
can be considered to be homogeneous and reproducible, and the test
repeatab'le ( Secti on 4.6 ) ' these factors shoul d not 'inf I uence the
comparìson between the multistage and sinqle stage tests.
As a further check on the vaìidìty of the work, the creep
parameters derived for laboratory ice in this study, usjnq pressuremeter
testing, are compared with creep parameters for laboratory ice reported
in the literature using other test techniques. Finally, the results
of this study are evaluated in terms of enqÍneerinq practice, both
w'ith regards to pressuremeter creep testinq techniques and analysis,
as well as usinq the results for foundation desiqn.
6.I RELATIONSHIP BETWEEN $IULTISTAGE AND SINGLE STAGE PRESSUREÞIETER
CREEP TESTS
As one of the main purposes of this study was to investiqate
260
the validity of the strain-hardening, power ìaw creep theory as applied
to the multistage pressuremeter creep test in warm ice, the relationship
between mul ti stage and s i ng1 e stage tests i s i nvesti gated fi rstl y
in terms of this model.
6.1.1 Strain-Hardeninq, Pouær Law Creep F$odel ; Relationship Betv*een
${ultistage and Single Stage Creep Tests
Ladanyi et al . ( 1984) proposed that the nonl inearity of
the creep I ines on 1og {tn fr) versus log (time) pìots i s due main'ly
to stress redistribution w'ith'in the thick-walled cyl indricaì sample;
i.e. a certain time is required for the stresses to redistribute from
their initial elastic state to the stat'ionary state. Under stationary
state conditions the creep-rate should, theoretically, be independent
of t'ime, in this case, independent of the transformed time r = ¡b.
If stress redistribution within the specimen is really the maior factor
to influence b over time, then the results of the sing'le stage tests
(from pressures of 1.75 to 2.5 MPa) between 90 and 1,440 minutes (Trial
# 2, Iable 5.5) should compare favourably with the results of multistase
Test # 10 (Trial # 3, Table 5.1) and multistaqe Test # 13 (Trial #
3, Table 5.4). In other words, for the same stresses in the same
time intervals, the b values should be comparab'le. This, however,
is not the case. in this 1,350 minute time Ínterval, the sìngle stage
tests have a range in b of from 0.65 to 0.81, with a correspondÍng
n exponent of 0.99, while mult'istaqe Tests # 10 and 13 have b ranqes
of 0.92 to 0.99 and 0.94 to 1.00 corresponding to n values of 3.28
and 2.63 respectiveìy. The penu'lt'imate stages of the multistage tests
approached a steady-state condition after on'ly 90 minutes (i.e. a
261
condítion of þ = 1), whereas it took the single stage tests, at the
same stress levels, at least 600 minutes (Trial # 4" Table 5.5) to
even get close to approaching a steady-state condition. Stress
redistrjbutíon as a function of time does not, then, appear to be
the factor control'ling the onset of steady-state creep; if it were,
then both the single stage and multistage tests, at the same stresses,
would approach steady-state at the same elapsed time. In fact, eiapsed
time does not seem to be the key to the relationsh'ip between the sing'le
stage and multistage tests.
The key appears to be the total amount of strain, represented
by ln å, which the ice specimen has undergone. Examination of the" ri-results of Trials # 6 to 9, Table 5.5, for the single stage tests
appears to support this statement. It seems that an amount of strain
on the order of ln ! = 0.05 to 0.07, was necessary for the steady-statericondìt'ion to be developed in the single staqe tests. It is postulated,
based on the resul ts of thi s study, that i f i n a mul ti stage
pressuremeter creep test an equivaìent minimum amount of total stra'in
is achieved by the end of the first, second or even thìrd staqe, then
the fo'lìowing stages will approach the steady-state condition rapidly,
usua'l'ly within about 90 minutes. Table 6.1 gives the total accumulated
strai n , def i ned by I n l, at the end of each stage of the four- ri-mul ti stage tests.
From Table 6.1, it may be noted that for Tests # 10 and
12, ìn I is in the ranqe of 0.02 to 0.04 at the end of the first-ristaqe, while Test # 11 on'ly approaches this range at the end of the
fifth stage. This range of strain is not approached in Test # 13
until about the fifth stage. All of the ana'lyses on all of the
262
multistage tests have indicated that a steady-state condition (U =
1) is not approached until a mínimum strain equivalent to ln .I- =ri0.03 has occurred. After this strain has occurred, steady-state creep
(U = 1) is approached rapidly in each stage. Moreover, if the creep
data pìot for the first stage of Test # 12 is examined c'losely (flg.
5.10)' it fs noted that the first stage results become paraììeì at
the end to the creep data p'lots for the other three stages.
In other words, the creep data p'lot at the end of the firststage of Test # !2, with ln I = 0.036, approaches a steady-state-ricondition with b close to unity. Test # ll, on the other hand, onìy
begins to approach a steady-state condjtion (U = 1) at the end of
the last stage, with ln l = 0.03.riIn summary, 'it is postuìated that steady-state creep will
start once the ice has strained a sufficiently large amount regardless
of the number or duration of ìoad app'lications that have gone on before.
A corollary statement would be that the lines on a loq strain versus
log time plot of a multistage pressuremeter test w'ill be straight
and paral 1e'l provided a steady-state condition has been reached in
each increment, i.e. all lines will have the slope b = 1.
Prior to the steady-state condition beinq reached, i.e. when
b is less than sây,0.9, the log strain versus log time pìots can
be nearly strai ght and para'l ì e1 prov'ided that the strai n i ncrements
for each stage are the same. (For multistage Test # 11, the total
strain is so small that each stage may be considered to have undergone
approximately the same degree of stra'in. This may in fact be why
these creep lines are reasonab'ly para'llel . )
It may be, in ice at least, that the slopes of the creep
263
lines will not tend to unity if the appìied cavity pressure is very
low, i.e. lower than the stress levels used in this research. Sego
and l4orgenstern (1983), however, have shown that secondary and tert'iary
creep conditions develop in uniaxial compression test samples at
stresses as low as 0.2 MPa. Nevertheless the low stress reg'ion must
be investigated for pressuremeter creep testing in ice. in addition,
the stress redi stri bution hypothesi s must be revi ewed i n the ì i ght
of the data presented in this thesis.
Comparison of the creep curves generated using the multistage
test creep parameters with the curves of the experimental singìe stage.tests, ât equivaìent pressures, indicates that the creep parameters
derived from multistage tests reasonabìy predict the creep response
under a single step cavity pressure in the range from 1.0 to 2.5 l4pa.
As was discussed in Chapter 5, however, the Fensury assumption of
Ee = * = F ¡b = Fl (P.)n 1b (tquation 5.9) has led to unreasonable' ripredictions of the strain rate, particularly near the end of the
comparison period. A better approach would be to take exponentials
of both sides of Equation (5.1); i.e.:ln (ä) = F tb ,
ä=.*o(Ftb),
(s.t)
(6.1)
and to substitute this into an expression for c'ircumferential strain;
i.e.:
^rEo = -" ri =
F-firi =ä-1=exp(Ftb)-1 (6.2)
Now, substi tuti ng for F yi e'l ds :
es = exp (Fl (p.)n tb) -t (6.3)
264
Circumferential strain versus tÍme curves for pressures of 2.0 and
1.25 l'{Pa, using Mul ti stage Test # 10 creep parameters and Equation
(6.3) have been calculated and plotted on Figures 6.1 and 6.2. For
comparison, the corresponding singìe stage test and predicted curve
using Equation (5.9) have been added. It is apparent from Figures
6.1 and 6.2 that:
1) At 2.0 MPa (Figure
better than the fitfi t of the data and
peri od .
6.1), the fit using Equation (6.3) is
using Equation ( 5.9) , both in terms of
strain rate at the end of the comparison
2) At 1.25 MPa (Figure 6.2), the fit of the data is worse usìng
Equation (6.3) , but the predicted strain rate at the end
of the comparison period is better.
Therefore, ôs these two cases illustrate, Equation (6.3) will not
always fit the data better than Equation (5.9), but it will g'ive a
better prediction of the strain rate, which is Ímportant for
extrapolating to longer time intervals.
As discussed previously, the power law creep model represents
primary creep (strain-hardening formulation) when b < 1.0 and secondary
or steady-state creep when þ = 1.0. There are no provi sions for
tertiary creep. Nevertheless, near the end of some of the sing'le
stage tests, the creep exponent b was greater than 1.0, see for examp'le
Trial No. 9 of Table 5.5 when ln | > 0.10. This imp'lìes that theseriparticular tests reached tertiary creep. This accounts for the
deviations in the strain rates at the ends of the predicted versus
experimental curves, still evident even when Equat'ion (6.3) is used
(see Figures 6.1 and 6.2). In other words, the model is predictìng
265
a steady-state response (b = 1.0) whi le the experimental curve i s
actual'ly going into tertiary creep near the end, with associated higher
strain rates. This question requires further study.
6.I.2 t4odified Second-0rder Fluid hdel; Relationship Between
Hultistage and Single Stage Creep Tests
The anaìysìs of both the single stage and multistaqe
pressuremeter creep tests usinq the modified second-order fluid model
has shown that:
1) multistage tests yie'ld essentia'l'ly the same creep parameters
. as singìe stage tests, over the same stress range'
2) mul ti stage tests may be started at any stress level , for
example, a multìstage test may be started at a pressure of
1.50 MPa and have 0.25 I'lPa pressure increments.
In reference to 1) above, the range in the creep exponent
m from the multistage tests is -0.695 to -0.710 (Table 5.14) while
the average m for the single stage tests was determined to be -0.705.
(The equivalent range in n, for the multistage tests under steady-state
conditjons, is 3.28 to 3.45, while the average equivalent n for the
single stage tests is 3.39). In fact, multistage Tests # 10 and 13
virtually gave the single stage m value; m for Test # 11 was a l'ittle
higher while m for Test # 12 was a l'ittle lower. This variation in
the creep exponent m may in fact be directly related to the strain
levels in the various stases of the tests (as was discussed previously).
Usinq ln ! as an indicator of the level of stra'in (Table 6.1), Test"ri# 11 underwent the least amount of strain (jn the ranqe of 1.50 to
2.00 tlPa) while Test # L2 underwent the most. Tests # 10 and 13
266
strained approximately the same amount, an amount in between Tests
# 11 and 12. It may be postulated, therefore, that the Test # lIparameters represent smal I strain deformation whi le the Test # 12
parameters represent ì arge strai ns , i n the pressure range 1. 50 to
2.00 MPa. The other creep parameters g and a1 from the multistage
tests are also very close to the average for the sing'le stage tests;
i.e. u values of 5.90 and 6.00 versus 6.125 MPa (mìn)m+1 for the singìe
stage tests, and al of 120.0 versus 108.0 MPa (mjn)m+2 for the singìe
stage tests.
In reference to point 2) above, Test # 10 was begun at an
applied pressure of 1.50 MPa and Test # 13 was begun at an app'lied
pressure of 0.25 MPa; both tests used pressure increments of 0.25 MPa.
As the results in Table 5.14 indicate, Tests # 10 and 13 yielded almost
exactìy the same creep parameters. It is postulated, therefore, based
on this result, that it is not necessary to beqin a multistage
pressuremeter creep test at zero pressure. In fact, the init'ial
increments of Test # 13 would have had to be left on much longer than
1,440 minutes to be of any use in the analysis.
Hhereas the strain-hardeninq, power law creep model could
take the creep parameters derived from multistage Test # 11 and
reasonabìy predict the experimentaì singìe stage test results at all
pressures, the second-order fluid model could not. This 'impì'ies
perhaps, that even though a good fit to the Test # 11 experimentaì
creep curve was obtained usÍng creep parameters a1 = 120.00 MPa
(min)m+2, u = 6.00 MPa (min)m+1 and m = -0.695, these parameters may
onìy be valid for the small strain range of deformation and should
not be used for extrapoìation to ìarge strains (i.e. they are valid
267
when ln ! < 0.03 or r ( 39.5 mm).ri
6. 1. 3 Sunsnary
In surnmary, the 'informatjon obtained from multistage
pressuremeter creep tests compares very weìl with the creep information
derived from single stage pressuremeter creep tests, in the same stress
and strain range. The modified second-order fluid ana'lysis produces
reìatively little scatter in the values of the creep exponent m (or
equivalent n) derived from the multistage tests, and the m values
compare well with the average m derived from the single stage tests.
It further appears that the past history of app'lied stresses in a
creep test has little effect on the nature of the creep; rather,
the amount of total strain appears to be the control I ing factor.
Therefore, creep parameters derived in a certan range of strain should
only be app'lied in practice to that same level of strain. Both Seqo
and Morgenstern (1983) and Ladanyi et al. (I979) have indicated the
dependence of creep parameters on the level of strain in ice. The
role of stress redistribution in a thick walled cylindrical specimen
is as yet unclear. The anaìysis of the results presented in this
thesis seem to suggest that it is unimportant.
For pressuremeter testing in ice or ice-rich frozen soils,
it should be assumed that a steady'state creep cond'ition will eventually
prevail w1th continued straining. To support this hypothesis' }rleaver
and Florgenstern (1981a), present data from simpìe shear creep tests
wh'ich show that secondary creep conditjons prevail for ice and ice'rjch
frozen soils at applied shear stresses of as low as 0.01 MPa. There
seems no reason , therfore , to use the strai n-hardeni ng , power I aw
?68
creep theory with an exponent b less than about 0.9 sjnce thjs will
predíct a damped creep response (which for ice and ice-rich frozen
soi I could be seriously in error). Each stress increment 'in a
pressuremeter creep test should be appl ied unti I at least the
steady-state condition is approached, as evjdenced by a b of at least
0. 90.
The creep parameters derived from this study will now be
compared to those found in the literature.
6.2 COI'IPARISON OF THE CREEP PARATIETERS FOR LABORATORY ICE DERIVED
. IN THIS STUDY HITH THOSE REPORTED IN THE LITERATURE
As has aìready been pointed out in Chapter 2, there are
no ìong-term (i.e. greater than 24 hour) pressuremeter creep test
results in ice pubìished in the literature. Comparisons will be drawn,
therefore , wi th the resul ts from 'l aboratory creep tests ( such as
unjaxial compression tests) conducted on po'lycrystalline ice.
Before comparing creep data for poìycrystal I ine ice, the
factors which most influence creep should be enumerated. Sego (1980),
in rev'iewing the literature, listed several factors which have a major
influence on the flow of poìycrystalline ice:
1 ) temperature,
2) crystal si ze ,
3) crystal orientation,
4 ) type of stress app'l i cati on ,
5) density of specimen.
From his own experimental work, Sego (1980) has discovered'it was
not only crystaì size that was important but what he called the "grain
269
size ratio". This ratio Ís defined as the crystal size divided by
the size of the specimen. Moreover, he has verified the claim by
Glen ( 1975) tnat the amount of straining undergone by the ice al so
great'ly influences flow. Therefore, "grain size ratio" and stra'in
should be added to the list above.
For the ice tested in this study, no account has been taken
of the grain size ratio. Moreover, the specimens tested in this program
have to be considered as having undergone large strains, except perhaps
the specimen for multistage Test # 11. And in the case of this work,
al I specimens were maintained at the same constant temperature of
-2"C. Therefore, comparì sons with other work must be made at a
temperature of -2"C.
l{ost of the creep data presented i n the I i terature 'i s based
on a simpìe power law of the form,
u(c) = ¿. (å)n (2.2)
Equation (2.2) is used to represent the dependence of the secondary
creep rate on deviatorÍc stress. Sego (1980) and Sego and Morgenstern
(1983) indicated that while the qrain size ratio onìy effects the
creep proof stress oc, it does not effect the creep exponent n.
Therefore, since the grain size ratio of the ice which was tested
both in this and most other testing programs is unknown, only the
creep exponent n wi I I be compared between these and other tests.
In reviewing the literature, much of the published data
on the creep of'laboratory ice is for test temperatures of -5oc or
colder (e.g. Mellor and Cole,1981; Hellor and Cole, lgBZ; Cole,1983; Cole, 1984). In order to extrapolate this data to a temperature
270
of -2"C, for our purposes, a temperature versus creep-rate relationship
would have to have been established. This was not done in any of
the studies, at -5oC or lower, so extrapolations to -Z"C are not
possi bì e.
Sego (1980), in his ljterature review, did report the work
of steinemann (1958) which was conducted at a temperature of -1.9"c.
uniaxial, constant stress compression tests þrere carried out by
Steinemann to ìarge strains. The best fit flow law for this large
strain data, using the simp'le power 1aw creep model, gives an exponent
n equal to 3.45, which compares very well w'ith the creep exponents
determined'in the present study. By means of constant rate of stra'in
triaxial tests, sego and Morgenstern (1983) defined the flow law of
samples subjected to I0% axial strain at -2"C by a creep exponent
n of 3.18. This value of n also compares well with the results of
this study. Even though grain size ratios have not been accounted
for, these compari sons are encouraging and support the resul ts of
the tests performed for this study.
For design purposes, Sego and Morgenstern (1993) recommended
using an exponent n of 3.0 for both small and large strain conditions.
Thi s postuì ate i s corroborated by the earl ier work of 1'lorgenstern
et al. (1980), who found that ìong-term creep of friction pi'les inice and ice-rich soils may be predicted quite accurateìy usÍng the
simple power law formulation with an n exponent of 3.0.
body for
the field.
To accurately assess the creep properties of a natural ice
design, sego (1980) recommended that tests must be done in
He stated:
natural ice body it would be difficult to determine" In a
271
the gra'in size ratio and the strain that it has al readyundergone in the field. Therefore, to determine theappropriate flow ìaw for design, one must use field methodsbecause many factors influence the flow law determíned inthe laboratory for it to be used for design."
Hence the recommendation to use field based creep parameters.
6" 3 RECOI'I¡{EHDED PRESSUREHETER TESTING TECHNIQUES AND ANALYSIS IN
ICE AND ICE-RICH FROZEN SOILS
Th'is section is subdivided into three parts:
1) drilling and sampfing,
2) pressuremeter creep test techniques,
3) analysi s of resul ts.
6.3.1 Drilling and Sampling
Dri 1 1 ing and sampì ing operations are an ìntegral part of
any s'i te i nvesti gatì on , whether Í n frozen or unfrozen ground .
Pressuremeter testing i s normal ìy conducted as part of an overal I
dri'l'ling and sampling program; decisions as to where in the
strati graphy to conduct the pressuremeter tests are normaì 'l y made
on si te , as the dri I ì i ng progresses .
If site and frozen soil conditions allow, dry augering with
an auger core barrel , such as the CRREL type core barrel , 'i s the
preferred method of driììing and sampìing. Disturbance of the frozen
sojl is usuaì1y kept to a minimum and high qua'lity samp'les may be
retrieved. If dense sand and grave'l layers or til'l with cobbles and
boulders must be penetrated, wet rotary drilling techniques are normaì'ly
reverted to. The dri'l ì ing mud must be maintained at temperatures
below zero by a refrigeration plant to minimize thermal disturbance.
272
Freezing point depression of the drilling mud is usual'ly accomplished
by adding KCL. This may result in some corrosion of the frozen soil,
however. Samp'ling may be conducted using core barrels and wire line
equipment. Driììing and samp'l'ing techniques in permafrost so'ils are
discussed in greater detail by Roggensack (7979) and Sav'igny (1980).
When the proposed location for a pressuremeter test is
reached, the core barrel whjch is used must be capable of drillìng
a proper'ly calibrated pressuremeter pilot hole (refer to Section 3.2.6).
After the pì 'lot hol e has been dri I I ed , a thermi stor or thermocoup'le
should be lowered into the test cavity to check its thermal equilibrjum.
The samp'les recovered from the core barrel should be logged and packed
jn an insulated constant temperature container for future'laboratory
i ndex tests .
6.3.2 Recormended Pressuremeter Creep Testing Techniques in lce and
Ice-Rich Frozen Soil
The 0Y0 Elastmeter-100, or a pressuremeter s'imilar to this,
with an electronic radius measuring device is recommended for testing
frozen soils or ice. With the radÍus being measured electronically,
the membrane can be inflated with a gas such as compressed nitrogen.
There is no need for mixing an antifreeze solution such as ethelyne
g'lycol and water nor for saturating the probe in sub-zero temperatures
as is required with pressuremeters of the l4enard type which require
the probe volume to be measured. .Correcting for the hydrauìic head
is also not requ'ired. Moreover, the probìems associated with testing
in a dry hole deeper than about 10 m with a hydrau'lic pressuremeter
(Baguelin et a1.,1978) are avoided.
273
The pressuremeter may be calÍbrated folìowìng the procedures
outlined in Chapter 3. During the calibration, the zero and gain
controls on the digita'l indicator should fírst be set using the smallest
and I argest cal i brati on ri ngs. The two i ntermedi ate cal i brati on ri ngs
should then be used to check the ìinearity of the radius measuring
system. This step in the calibration process must be done carefuì1y,
otherwise all of the cavity radius measurements will be in error,
no matter how much care is taken in the other steps. To save time
(with no great ìoss in accuracy), a composite membrane reactíon curve
of the type shown in Fig. 3.7 may be deve'loped by runn'ing res'istance
cal ibrations in the laboratory. The change in membrane thickness
test may be carried out with 5 minute increments, and the membrane
cross-sectional area correction may be deve'loped using onìy two steel
tubes si nce al I of the cal i brati ons wi th the 0Y0 pressuremeter to
data have shown that the pìot of S/r versus digita'l indicator reading
is very close to linear.
0nce the pressuremeter has been cal ibrated and the hole
has reached thermal equilibrium (i.e. the temperature is not changing
significantly), the pressuremeter should be lowered down into the
test cavity. If the outside air temperature is significantly different
from the temperature of the frozen ground, the calibrations may have
to be carri ed out i n a healed tank or a van ( for col der ai r
temperatures), or in an ice or refrigerated bath (for warmer air
temperatures). An ideal way to regulate the temperature of the probe
would be to place a heat exchange coiì in the probe itself. The rubber
membrane could be maintained at the desired temperature whi le the
calibrations are being performed by looseìy wrappíng insuìat'ion around
274
the probe or p'lacing the probe in an insulated container. The heat
exchange coi I method woul d provi de conti nuous temperature control
and thus eliminate possible heat flow up or down the metal rods during
the pressuremeter test. As a minimum, a 'heat break' shoul d be
installed in the rods (tnis will be a coup'lÍng made of low heat
conducti ve p'last'ic such as nyl on ) or the top of the rods shoul d be
kept from sticking up out of the hole.
The recommended mul ti stage test procedure i s to set the
first pressure increment to about 1.5 MPa, and then let the cavìty
creep until a condition of steady-state creep prevails. ThÍs typically
occured when ìn I approached about 0.03 to 0.05 in this testing't
program. This means that the test data must be plotted in real time
as the test is running. Once a condition of steady-state creep has
been reached, the pressure may be increased in 0.25 MPa increments.
The second and fo'lìowing increments need be app'lied onìy long enough
to obtain a clear measure of the steady-state creep-rate for that
particular pressure increment. A condition of steady-state creep
is indicated most c'lear'ly when b approaches unity (in the
strain-hardening, power ìaw theory). The steady-state creep condition
i s al so i ndi cated when the cav'ity radi us versus time curve exh'i bi ts
an exponential increase in radius with time. If the first increment,
using a pressure of 1.5 MPa, takes too long, a starting pressure of
1-.75 or 2.0 MPa may be used in subsequent tests. It should be
remembered, however, that pressures of even I MPa are much higher
than the bearing stress generated by most structures founded on or
in contact with permafrost. There ís advantage, then, in using a
low pressure for the first increment, particular'ly if steady-state
275
conditions develop rapidly.
In order to determine the creep parameters accurately, the
multistage test should have at least four to five increments. Aìthough
one test may end up taking one, to as many as two days, this ìength
of time is consÍdered to be necessary if high quality results are
to be obtained. One way to get around this prob'lem of time is to
drill two or more holes at the same time, and using two or more
pressuremeters, to run tests concurrentìy. Another way would be to
bui I d a pressuremeter stri ng, wi th say ? or 3 or possi b]y 10
pressuremeters mounted on the string at intervals of, say, 1 metre.
'Tests could therefore be run concurrentìy in the same hole. It must
be remembered, however, that the in situ horizontal stress will normal'ly
not be zero, as was assumed for the ana'lysis of results for this thesis.
6.3.3 Analysis of Pressuremeter Creep Test Results
Both the single stage and multistage tests analyzed for
thís study, in the pressure range 1.0 to 2.5 MPa, conform to a power
law creep formulation; i.e. the secondary creep-rate is related tothe deviatoric stress through a power law. A considerable body of
analysis and field observations supports the concept that ice and
ice-rich frozen soils will tend to reach a steady-state or secondary
creep condition under sustained load. It is therefore postulated
that the strain-hardening, power law creep theory, with b < 1, should
not be used to extrapo'late creep test information to longer time
periods. The steady-state form with b = 1, should be used instead.
If one wishes to estimate creep deformatjons for, Sôy, piìes
or footings, using a power law creep formulation, then the creep
276
parameters n and oc must be determined. As was illustrated in Chapter
5, however, the log-ìog plotting techniques used for determ'in'ing n,
and cal cul ati ng oc, often resul ted in a ì arge scatter of the final
estjmate of n. A better approach mìght be to put the power 1aw creep
theory Ínto its integrated steady-state form:
r(t¡ = r(o) exp (5.17 )
and optìmize the initial estimates of oç and n from the'log-1og plotting
with the experimentaì cavity radius versus time data.
It i s al so recommended that sol uti ons for sel ected
boundary-va'l ue-probl ems , such as pi I es and footi ngs , be formul ated
in terms of the modified second-order fluid model. This model has
the capabi ì i ty of predi cti ng both primary and secondary creep
deformations. Since the primary creep period will be of 'longer duration
at lower stress levels, it will be of importance for most foundation
work. The modified second-order fluid model is also valid for large
deformations, and is a theoreticaììy more satisfying solution than
the power 'law creep model .
For the time being, it will have to be assumed that the
creep information determined at reìativeìy high pressures from
pressuremeter tests may be extrapolated to the lower stress region,
where most geotechnical design work is involved. Power law creep
information has already been extrapolated down to the low stress region
with success usíng information from unconfined compression tests on
polycrystalline ice (e.g.Sego and Morgenstern,1983); this g'ives
promise to the extrapo'lation of pressuremeter creep information. A
t(+ )n*1 Ë. (i"T )n t l
in the
277
lowpressuremeter
stress region
testing program in
(less than 1.0 MPa)
ice should be
to verify this
underta ken
promi se.
TABLE 6.1
TotaÏ Accumulated Strain lnl at the End of EachriStage of the h{ultistage Tests
?78
lnLrj0.0240
0. 0545
0. 1040
0. 1920
0.2230
0. 00s2
0. 0099
0. 01 54
0.0?27
0. 0326
0. 0363
0.0881
0. 1828
0.2110
0.0032
0.0048
0. 0085
0.0152
0.0265
0.0452
0.0761
0.t2690.0206
0.?.290
Test # Staqe
1
2
3
4
5
1
2
3
4
5
1
2
3
4
Pressure(MPa)
1. 50
7.75
2. 00
2.25
2. 50
1. 50
r.7 5
2.00
2.25
2.50
1. 50
1.7 5
2.00
2.25
0.25
0. 50
0.7 5
1.00
t.251. 50
t.7 5
2.00
2.25
2.50
10
i1
I2
13 I2
3
4
5
6
7
I9
10
TE
ST
3:
PR
D 1
0:
PR
DE
XP
10:
ùeI
z. d F- v',
IJ F z. t!l É
.t¡
JtJ
- = =(J É.
(J
Sin
qle
Sta
qe T
est
3 E
xper
imen
tal
Pre
dict
ed C
reep
Cur
ve U
sing
eg
=w
i th
14. S
. 10
Par
amet
ers
Pre
dict
ed C
reep
Cur
ve U
sing
es =
êX
p (r
tu¡
-1 w
ith it
.5.
10P
aram
eter
s
Cre
ep C
urve
Ftb
600
r 20
0 I 80
0 24
00
Fig
ure
6.1
Çom
pa.q
!son
of
pred
ictio
ns,
stra
in-h
arde
ning
pow
er ì
aw c
reep
mod
eJ;
2.00
tlP
a
,\
^t1,
qs$t
\e r0
lss^
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3000
36
00
4200
TItt
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INU
TE
S)
4800
54
00
6000
6600
f\) \¡ (.o
35 30
TE
ST
9:
PR
D 1
0:
PR
DE
XP
10:
te z. d. l-- v) J F- z. UJ É.
t¡J t! = =(J É.
(J
25
Sin
gle
Sta
ge T
est
9 E
xper
imen
ta'l
Pre
dict
ed C
reep
Cur
ve U
sing
ea
=w
ith l{
.S.
10 C
reep
par
amet
ãrs'
Pre
dict
ed.C
reep
Cur
ve U
sing
es =
êX
p (r
to)
-1 w
ithÞ
1.S
. 10
Par
amet
ers
20 l5 t0
Cre
ep C
urve
Ftb
5 00
0
Fìg
ure
6.2
Com
paris
on_o
f pr
edic
tions
, st
rain
-har
deni
ng p
ower
law
cre
epm
odel
; 1.2
5 ilp
a
#T r
oQ
RV
.J
I 00
00
ó:
r 50
00
2000
0 25
000
TIM
E (
MIN
UT
ES
)
r,g
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'
3000
035
000
4 00
00
\) co o
28L
CHAPTER 7
COHCLUDING REþIARKS
7 "I PRESSUREHETER TESTING EQUIP¡{ENT
The 0Y0 Elastmeter-100, or a pressuremeter similar to this,
with an electronic radius measuring device is recornmended for testing
in frozen soils or ice. l.lith the radius beìng measured electronically,
the membrane can be inflated with a gas such as compressed nitrogen.
There is no need for mixing antifreeze solutions nor for saturating
the probe in sub-zero temperatures, as there would be for a Menard-type
pressuremeter, in which the volume change of the probe must be measured.
Moreover, the problems associated with testing in a dry hole deeper
than about 10 m with a hydrauìic pressuremeter are avoided.
The 0Y0 Elastmeter-100 has performed exceedìng'ly wel I for
the test program presented in this thesis. Even for the'longest test,
which lasted about 52 days, electronic drift of the radius measuring
system was almost negìigibìe, giving a maximum error in the calculated
cavity radjus on the order of t 0.10 nm. It is stressed, however,
that this degree of accuracy may be obtained on'ly if calibratjons
of the radius detecting system and membrane are carefully run both
before and after the test. Savigny (1980) also concluded that carefully
run cal ibratÍons are required during his use of a sìope indicator
sensor to measure very smal I creep rates in a natural , ice-rich
permafrost sìope.
The modifjed CRREL-type auger core barrel des'igned
speci fi ca'l ìy to dri I I a pressuremeter test cavi ty has worked very
well. The holes drilled in this study were well calÍbrated, smooth
282
and therma'lìy undi sturbed.
A pressuremeter testíng program i s now underway (at the
time of publication of this thesis) on an ice island off the northern
coast of Alaska. From all reports (Shields, persona'l cor¡nnunicatìon),
the pressuremeter testing system deve'loped in thÍs study has been
successful in testing the sprayed ice makÍng up the is'land.
7.2 ANALYSIS OF TEST RESULTS
From the analysi s of the test resul ts presented in thi s
thesis, it has been found that the creep of ice, as measured with
.the pressuremeter, conforms to the power law creep model after the
ice has undergone a requ'ired amount of strain. In other words, after
strain (tn fr) on the order of 0.03 to 0.05, a steady-state, oF
secondary creep condition, is established and the cavity expands
according to:
( s. 17 )
i.e. the cavity radius increases exponentialìy with time.
Creep parameters derived from multistage tests using both
the strain-hardening, power law creep model (when b average is greater
than 0.90 and essential ìy steady-state conditions prevail ing), and
the modified second-order fluid model may be used to generate fictit'ious
creep curves which represent the singìe stage creep curves reasonably,
at least in warm íce and in the pressure range from 1.0 to 2.5 MPa.
Differences in the strain rates, particularly near the end of the
comparíson period, could be due to the single stage tests passing
into tertiary creep at ìarge deformations. Tertiary creep may be
r(t) = r(o) exp I (+)n*1 Ë. (# )n t I ;
283
representedbyb>1.0.
It has been found that the mod'ified second-order fl uid
ana'lysi s , us'ing an i terati ve scheme to optìmi ze the creep parameters '
produces less scatter in the equivalent creep exponent n than the
Stra'in hardening power law creep model. The average creep exponent'
m, derived from anaìys'is of the single stage tests is -0.705, wh'iìe
the average creep exponent from the four multistage tests is -0.704
(in terms of equiva'lent n values for steady-state creep, these would
be n = 3.39 and 3.38 respect'ively). These results are found to compare
well with results of unconfìned compression tests on poìycrystalline
ice reported in the literature. It appears also that an m value of
-0.695 (equivalent to an n of 3.28) represents the small strajn region
wh'ile an m value of -0.7i0 (equivalent to an n of 3.45) represents
'large stra'ins in the stress range 1.5 to 2.0 I'lPa. From this it appears
that the average m of -0.705 is an average of both the small strain
and large strain reg'imes. It may be concluded that multistage tests'
when each pressure increment is left on long enough to develop a
steady-state creep condition, yield essential'ly the same creep
parameters as a series of sing'le stage tests.
A considerable body of ìaboratory test resul ts and fiel d
observations is now available to support the concept that ice and
i ce-ri ch f rozen so j I s eventual'ly creep under essentì al'ly steady-state
conditions under sustained load. Thus, the strain-hardening, power
law creep model with b less than about 0.9 should not be used to pred'ict
'long term creep behaviour. Anaìyses have shown that not only will
a b of less than 1 indicate creep curves whjch are attenuat'ing, but
the computed creep exponent n will also differ significantly from
the steady-state n val ues. It i s recommended, therefore, that al I
284
creep tests be pro'longed until at least a value of b = 0.9 js achieved
(in each increment, in the case of multistage tests).
Unlike the power law creep model, the modified second-order
fluid model can predìct both primary and secondary creep. lchereas
the power law approach requires separate relationshìps to model both
the strain-time and secondary creep-stress behaviour (e.g. Sego and
Morgenstern, l983) with the modified second-order fluid concept, the
strain-time and secondary creep-stress functions are contajned in
one motion equation. The capability to model both primary and secondary
creep is important in the ìow stress range, where extended periods
of primary creep may prevai'1. For example, Sego (1980), found that
unconfined compression tests conducted on samples of polycrystalline
ice at stresses below 0.10 MPa require loading times 'in excess of
2,000 hours to reach a condition of steady-state creep.
Until boundary-va1ue-problems (other than the pressuremeter
probìem) have been solved in terms of the modified second-order fluid
model, use of the power law creep model should be contÍnued. For
ice, however, the power law model should only be used in its
steady-state form. This rule may be difficult to adhere to at very
low stresses where the majority of the creep deformation would be
of a primary nature.
7 .3 REC0ffiENDED PRESSUREHETER CREEP TESTIl{G TECHT{IQUES AND ANALYSIS
Iil ICE AND ICE-RICH FROZEN SOILS
From the anaìysis of multistage Tests # 10 and 13, it was
postu'lated that a multistage pressuremeter creep test could be started
at any stress level. It h,as also evident that there were advantages
?85
to starting at a high stress in order that steady-state creep could
be reached in a reasonable ìength of time. The first Íncrement could
be set to a pressure of as h'igh ôs, Say 1.5 þ{Pa, and I eft unti I a
steady-state creep condi ti on has devel oped. The pressure for al I
subsequent increments need be app'lied only unt'il a condit jon of
steady-state creep is clearìy defined. It must be remembered, however,
that pressures of even i MPa are much higher than the bearing stress
generated by most structures founded on or in contact with ice and
permafrost. There is merit, then, in usìng as low a pressure for
the first increment as possible. A low starting stress may not be
too dj sadvantageous if steady-state conditions deveìop rapidly.
Furthermore, in order to determine the creep parameters accurately,
a multistage test should have at least four or five increments.
As has been illustrated, even log-ìog p'lotting techniques
often resul t in a 'large scatter of F versus pressure data, and
difficulty in making an estimate of n. An improved approach may be
to apply the power law creep theory in'its integrated, steady-state
form:
( 5. 17 )
and to optimize the initjal estimates of oç and n (from the ìog-log
plotting) with the experimental cavity radius versus time data.
For the time being, it will have to be assumed that the
creep information determined at relatìvely high pressures, from
pressuremeter tests, mây be extrapo'lated to the lower stress region,
where most geotechnicaì work is involved. This has a'lready been done
successfuì ìy with unconf ined compression test data on po'lycrystal'line
r(t) = r(o) exp I (+)n*1 ¿. (# )n t l
286
ice (e.g. Sego and Morgenstern, 1983).
V "& RECOþ&{EHDATIO${5 FOR FURTHER RESEARCH
It is of utmost importance to conduct low stress range (i.e.
less than 1 MPa cavity pressure) tests on ice with the pressuremeter.
This would either validate or disprove the claim that it is reasonable
to extrapolate information from pressuremeter tests conducted at stress
levels above 1l'îPa down to the low stress regìon. As low stress tests
would be of very ìong duratÍon, possibly up to 1 year or longer, a
method should be devised whereby drift of the electronic radius
.detecting system could be checked during a test. ThÍs could probably
be accomp'l ished with an electronic circuit, similar to the shunt
cal i I bration resi stor sometimes incorporated on pressure transducers
or by a system whereby the ca'liper arms could be withdrawn or rotated
'into a sleeve of known dÍameter. In addition, the resistance of the
membrane and its change in th'ickness with deformation would need further
clarjfication for these'long-term tests.
Besides pressuremeter tests in the low stress region, a
series of pressuremeter tests should be conducted at other temperatures
to determine the temperature dependence of the creep parameters.
Before the modified second-order fluid model can be used
in practice, a set of solutions to boundary-value problems such as
pi'les and footings wil I have to be deve'loped in terms of thÍs model .
Foììowing Ladanyi's lead, spherical and cyìindrical cavity expansion
theories could be used to realistically model the deformation of ice
or ice-rich frozen soils beneath piles or footings.
The stress redi stri buti on theory proposed by Ladanyi et
287
al. (1984), should be re-Ínvestigated in the ìight of the results
presented in thís thesis. Rather than bejng time-dependent, the stress
redistribution within the specimen appears to be strain dependent.
The nature of tertiary creep for the pressuremeter probìem
should be investigated. It appears from this work that a b time
exponent greater than 1.0 represents tertiary creep in the pressuremeter
case.
The volume change associated with the deformation of frozen
soils needs clarification. A theoretical approach to this prob'lem,
such as that adopted by Goodman and Cowin (1972) and Nunziato et al.
(1980), should be investigated. in this approach, a granu'lar material
is treated as a continuum and the basfc princÍples of continuum
mechanics are utilized. The balance equations incorporate the rate
of change of mass density and the volume distributÍon function,
interpreted as the volume fraction of the grains. The system of
nonlinear differential equations governing the fìow require a numerical
solution. Experimentaì work to separate shear induced creep distortion
from volume change is currentìy underway at the University of Manitoba.
288
REFERENCES
Andersland, 0.8., Sayles, F.H. and Ladanyi, 8., 1978. "Mechanjcalproperties of frozen ground'r. Geotechnical Engineering for Coìd Regions,edited by 0.8. Andersland and D.M. Anderson, McGraw-Hill, Chapter5, pp. 216-275.
Baguelin, F., Jezequel, J.F. and Shields, D.H., I978. "The pressuremeterand foundation engineering". Trans Tech Publ icat'ions, Clausthal ,Germany, 617 p.
Briaud, J.-1. and Gambin, M., 1983. "Suggested practice for dri'lf ingboreholes for pressuremeter testing", to appear.
Briaud, J.-1. and Shields, D.H., 1981. "Pressuremeter tests at veryshallow depth". ASCE Journal of the Geotechnical Division, Vol. !07,No. GT8, pp. 1023-1040.
Campaneìla, R.G. and Robertson, P.K., 1982. "State of the art in insitu testing of soils: developments since 1978". Engineering FoundationConference on Updating Subsurface Samp'l ing of Soi I s and Rocks andTheir In Situ Testing, Santa Barbara, CA, January, 23 pp.
Cole, D.M., 1979. "Preparation of polycrystalline ice specimens forlaboratory experiments". Cold Regions Science and Technoìogy, Vol.1, pp.153-159.
Cole, D.M., 1983. "The relationship between creep and strength behavìourof ice at failure". Cold Regions Science and Technology, Vol.8, pp.189- 197.
Cole,0.M., 1984. "Grain growth and the creep behaviour of ice". ColdRegions Science and Technoìogy, Vo'1. 10, pp. 187-189.
Eckardt, H., 1981. "Laboratory borehole creep and relaxation testsin thick-walled cylinder samples of frozen sand". Report 22?, NorthernEngi neeri ng Centre , Ecol e Pol ytechn i que , I'lontreal , 125 p .
Fensury, H., 1985. "Determination of creep parameters of frozen soilusing the pressuremeter test". M.sc. Thesis, university of Manitoba,l'linnipeg, Manitoba, 209 pp.
Glen, J.ld., 1975. "The mechanics of ice". U.S. Army Cold Reg'ionsResearch and Engineering Laboratory, Hanover, N.H., Monograph II-2cb,47 p.
Goodman, M.A. and Cowin, S.C., Lg72. "Arch. Ration. Mech. Anal.". Vol.44, p. 249.
Hughes, J.M.0., 1985. "Sprayed ice island pressuremeter testing datareport". Prepared for the Sohjo Petroleum Company, Daìlas, Texas.
?89
Hult, J.A.H., 1966. "Creep in engineering structures". BlaisdellPublishing Company, Haltham, Mass. 115 pp.
Jacka, T.H. and Lile, R.C., 1984. "Sample preparation techniques andcompression apparatus for ice flow studies". Cold Regions Scjenceand Techno'logy, Vol . 8, pp. 235-240 .
James, M.L. , Smith, G.M. and Wolford, J.C., 1985. "Appl ied numericalmethods for digitaì computation". Third Edition, Harper and Row,PublÍshers, New York,753 p.
Johnston, G.H. and Ladanyi, B., 1972. "Fíeld tests of grouted rodanchors in permafrost". canadian Geotechnical Journal, vol. 9, pp.77 6-194.
Ladanyi, B.,7972. "An engineering theory of creep of frozen soiIs".Canadian Geotechnical Journal, Vol. 9, pp. 63-80.
Ladanyi,8., r975. "Bearing capacity of stríp footings'in frozen soils".Canadian Geotechnical Journal, Vo1. 12, pp. 393-407.
Ladanyi,8., L976. "Use of the static penetration test in frozen soils".Canadian Geotechnical JournaJ, Vol. 13, pp. 95-110.
Ladanyi, B., 198i. "Mechanical behaviour of frozen soils". Proc. ofthe International Symposium on the Mechanical Behaviour of StructuredMedia, 0ttawa, Part B, pp. 205-245.
Ladanyi, 8., 1982a. "Determination of geotechnicaì parameters of frozensoils by means of the cone penetration test". Proc. Znd EuropeanSymposìum on Penetration Testing, Amsterdam, Vol. 1, pp. 671-678.
Ladanyi, 8., 1982b. "Borehole creep and relaxation tests in ice-rjchpermafrost". Proc. 4th Canadian Permafrost Conference, the R.J.E. BrownI'lemorial Vol ume, Nationa'l Research Counc j I of Canada, 0ttawa, pp.406,41 5.
Ladanyi , B. , 1983. "Sha'l low foundations on frozen soi I : creepsettlement". ASCE, Journal of geotechnical Engineering, Vol. 109,No. 11, November, pp. 1434-1448.
Ladanyi,8.,1985a. "Use of the cone penetration test for the designof p'i les in permafrost". Proc. of the 3rd International 0ffshoreMechanics and Arctic Engineeríng Symposium, Vol. 3, ASME, edited byV.J. Lunardini, CRREL, Hanover, NH, pp. 45-50.
Ladanyi, 8., 1985b. "Stress transfer mechanism in frozen soils". Proc.of the Tenth Canadian Congress of Applied Mechanics, The Universityof Western Ontario, London, 0ntario, Vol. 1, pp. 11-23.
Ladanyi, B., 1986. "Input parameters for soil/structure mode'l'lingfor design". Workshop on Geotechnical in Situ Testing for the Canad'ian0ffshore, Dartmouth, NS, 6pp.
290
Ladanyi, B, Barthelemy, E. and Saint-Pierre, R., I979. "In situdetermination of creep propert'ies of ice covers by means of boreholecreep and relaxation tests". Proc. " hlorkshop on Bearing capacity ofIce Covers, Winnipeg, NRCC-ACGR Technical Memo., No. 123" pp.44-64.
Ladanyi, B. and Eckardt, H., 1983. "Dilatometer testing in thickcylinders of frozen sand". Permafrost: Proceedings 4th InternationalConference, Fairbanks, Alaska, Nat. Acad. Press, Wash. D.C., pp.677 -682.
Ladanyi, B. and Gill, D.E., 1981. "DetermÍnation of creep parametersof rock salt by means of a borehole dilatometer". Proc. First Conferenceon the Mechanical Behaviour of Saìt, Penn State Univ., (in print).
Ladanyi, B. and Gill. D.E., 1983. "In situ determination of creepproperties of rock salt". International Congress on Rock Mechanics,I'lel bourne, Austral ia, pp . AZIï-A225.
Ladanyi, B. and Johnston, G.H., 1973. "Evaluation of in situ creepproperties of frozen soils with the pressuremeter". In: Permafrostthe North American Contribution to the Znd International PermafrostConference, Yakutsk., NAS, l.lashington, D.C., pp. 310-318.
Ladanyi, B. and Johnston, G.H., I974. "Behavior of circular footingsand plate anchors embedded in permafrost". Canadian GeotechnicalJournal , Vo'l . 11, pp. 531-553.
Ladanyi , B. and Johnston, G.H. , 1978. "Field investigations in frozenground". Geotechnical Engineering for Cold Regions, edited by 0.8.Andersland and D.M. Anderson, McGraw-Hill, Chapter 9, pp. 459-504.
Ladanyi, B., Murat, J.-R. and Huneault, P.,1984. "4 parametric studyof long-term borehole dilatometer tests in 'ice". Proc. 7thInternatíonal Symposium on Ice IAHR, Hamburg, Voì. 2, pp. 393-404.
Ladanyi , B. and Paquin, J. , 1978. "Creep behaviour of frozen sandunder a deep circular 1oad". Proc.3rd International Conference onPermafrost, Vol. 1, Edmonton, Canada, pp. 679-686.
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f'lan, C.-S., 1985. "Refinements to the modified second-order fluidmodel". Unpublished Internal Report, Dept. of civjl Engineering, TheUniversity of Manitoba, [.linnipeg, Canada.
29r
f,lan, C.-S., Shields, D.H., Kjartanson, B.H. and Sun, Q.-X., 1995."Creep of i ce as a f 'lui d of compl exi ty 2: the pressuremeter probl em', .Proc. of the Tenth canadian congress of Appl'ied r4echanics, TheUniversity of Hestern Ontario, pp. 4347-4348.
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292
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294
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296
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297
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Figure 4.5 Sample temperature variation with tjme; S.S. Test 6
299
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@
-OZO
;tEs_o
Ot¡-J
crÉ
.Oo-Õ-Xt!
>OCo
't
OO
@ _J_-b'. oo 85 .4tJ 115.2014.40 28 .80
ld./¡L) 2ts .8u
5r.60(11lN)
1? .OOo l0'
43,2OT IIlE
**++¡i++ +++++++t++++*+*¡l+*++++++++
A J.'¿U 57 .60 -ì? .t0TINE (11lN) xl0?
86.40 100 8Ll
Figure 4.12 Cavity expansion rate versus time; S.S. Test 7
306
Oo
tr
='U)-O_O
OrGsÉ
tsO
-:cre(J
75 .00T IHE
I 75 .00 200 . u0
I ?5 .00 200 .00
;-o_9
=-LrJÉ=oØ2u)_tlJÈo_
)-9
-_ I> 0,00
G(J
lr25.00 50.00 ?.5.00 100.00 14s.00 150.00tlllt (NIN) xl0'
I U0 .0uININ)
Figure 4.13 Cavity pressure variation with time; S.S. Test 5
o?on
307
oO
Er
='ln_Ouo
OçG<É.
ÞO*?Ge(J
.00
o?,@_
n 25 .00 50 .00
0.00 25 .00 50 .00
75 .00T IIlE
s .00 0.00 I 75 .00 200 .00
I 50 .00 5 .00
?CJOt].J OoN
(LILLJ o*?
75 .00 l0u .00 r 45 . tiOIIIlE(11lN) xl0'
Average
00 25 .00 50 .00
2CU . Urj
O9
?lcJo IljJol-r{-lrluol*ql
T+0. 75 .00 1 00 .00
TIHEIIlIN)r as .00
x l0'1 50 . u0 l ?5 .00 2C0 .00
Variation within sample (4 pts.)
Figure 4.14 Sample temperature variation with time; S.S. Test 5
308
o?oÐ
(fO
Er
==U)-c)-oOscf<É
FO
-?G!(J
.00
OO
O-
U 25 .00
25 .00 50 .00
75 . LìU
T IIlEr 25 .00
x 102¡ 50 .00 t ?s .00 20tì .0rJ
.00
@()
Ox
o_O
-:-EEEç_o
O.LrJ
cÉ.
N
o- J=><llj
>OGcl
't+ + ++++ ++++ + ++ ++ ++++++++++ +
?5 .00T lrlt
r 00 .00 r 25 .00(11tNl !r102
I 50 .00 l 75 .00 200 .00
Figure 4.15 Cavity expansion rate versus time; S.S. Test 5
309
OO
OØ
oO
=r
==at)-O-oOeG<E
FO-.?cf!(J
r 00 .00
CIDo_T
=-t¡Jæ=nU)lln-UJÉo_
FoF_
>-b.ooG(J
I 50 .00 200 .00TINE (11IN}
.00 300.00 350.00 0 .00
variat'ion with time; S.S. Test 9
oo@-
"b .00 400.00l 50 .00T IHE
200 .00(NIN) 0xl
2t
0xl
Figure 4.16 Cavity pressure
310
cf?on
(]o
EÈ
="U)-o-oClqG!É.
t-Õ
-9cEe(J
T IHE ( Il IN }
0 .00
400 .00
?()oLrJ o
o-EL!o*?
o
?(JoL¡J oo-'
o-'
o_
=uJo*?
'o', oo 50.00 I 00 .00 50 .00 200 .00 25-0 .00TINE(NIN) xl02
300.00 350.00
oo
Average
'0 .00 50 .00 t00.00 t50.00 200.00 250.00 300.00 350.00 400.00TIIIE(NINI '10'
Variation within sample (4 pts.)
Fi gure A. 17 Samp'le temperature variation wÍth tÍme; S.S. Test 9
311
O?Oû
OO
-'U)-O_O
Oçcr<E
FO
-c)CIg(J
.00 5
OÕ@_
n .00 ¿ 0u . Lril s0 .00T INE
20u .00(tllNl
2
0.00 .00 350 .00
fl
.00
@C)
iO
?x
@
-OZO
;Its-?_
Ot¡-lFGæ.
.OrcXt¡J
)rrCOcJ;-
1 50 .00 t00.00 t50.00 200.00 25"tJ.u0 300.00 350.0c ¿0u'00TIIlE tlllN) xl0'
Figure 4.18 Cavity expansion rate versus time; s.s. Test 9
3r2
oO
Er
='Lr)
-O-oOçG!É,
tsO
-?G!LJ
10.00 30 .00T INE
40.00fNIN)
50 .00x l0'
60 .00 70 .00
t 0 .00 20 .00 30 .00 ¿0 .00 sb . ooTIHE tNIN) xl03
r¡t60 .00 70.00 80 .00
Figure 4.19 Cavity pressure variation with time; S.S. Test 8
.00
COo-:L-
LlJÉ=oØ?(¡) _.LtjÉo_
)-9t--o
>Rcf(J
o?OØ
20 .00
313
o?oØ
oE-
==U)
-oC)scEeÉ.
|-o-?cE!(J
Oo
?ôLrJo
o_EtrjF
TINE (NIN)
30.00 40.00TIIIEfIlIN)
50.00EIO3
oO
i(JoUJÕoN
o_Et¡J o-?
Average
'0 .00 10.00 2b.00 30.00 ¿o.oo s'0.00 s'o.oo zb.oo ab.ooTIHE(NIN) xl0l
VariatÍon within sample (4 pts.)
Figure 4.20 Sampìe temperature variation wjth time; S.S. Test I
314
o?OØ
Oc)
Ir
==U)-(f_O
OscE<É.
C)
>-..cEs(J
.00
o-OZO
;EEç-O
Ot!FGÉ.
N.oo- o-Xt¡J
>OCfo(J_-
I
oo-:"b .00 20 .00 40.00
(NIN)50 .00
X I0360 .00 ?0 .00 8C.0u
4+++ +{++++++ ++t0.00 20 .00 10.00 50.00
tHIN) Rl0r60 .0u ?0 .00 83. C0
30 .00T IIII
@o,O(f
x
30 .00T INE
Figure 4.21 Cavity expansion rate versus tjme; S.S. Test 8
315
o?oØ
oO
=r:'U)-Õ-oOçG!É
+-o-?G<(J
240.00T INE
320 .00(lllN)
4 80 .00 560 .00 640.00
#@Þl++l+r{#l+H{-+++++
+@.{#+Ftsl+rHi"{+++
ff***{&'¡*{ri¡t-t-+t-}t
+t++fir++
80 .00 r 60 .00 240.00 320.00 400.00TINE f IlIN)
480.00 560.00 640.00
pressure variation with time; Ì4S Test i1
.00
O@
N
CEo_E-o(!l.¡-l '-EN
=1!)u')LJorBo_ ._
+-
-Oö:1;
I 60 .00 ó 00 .00
F'rgure A,.22 Cavity
316
O?Oa
OO
E-
==U)-O-oOsG!É
|-o-?CEs(J
I 60 .00 21 0 .00 320 .00 ¿ 00 .00TINE(NIN)
640 .00
480.00 560.00 640.00
T INE
OO
Yc)oT¡J OON
o_z.uJo*g
o
Variation within sample (3 pts. )
ð#îu W FAçW¡S îieçryry îa en{l-Þ x9 @x4
0 .00 80 .00
Figure 4.23 Sample temperature variation with time; MS Test 11
3r7
oOØ
OO
Er
==U)-o-oÕqc!É.
FO
-?ct!(-J
@o,oOÍ
@
-OZO
E
EEe-oclUJl-crÉ.
N.oL:-><LiJ
>oGO-%
++++++++++ + + + + + + + + + + + + + + +
t5.00 30 .00 45.00 60.00 r's.ooTINE (NIN)
.00
O?@_
"b I ì_90.00 I 05.00 120
.00 t 5.00 30 .00 45.OO O'O.OO r'S.OOTIHE f IlIN)
¡¡t90 ,00 1 05 .00 t 20 .00
++
I++ **+
++ **** * 1 + *++++++
Figure 4.24 Cavity expansion rate versus time; l1S Test 11, Stage
318
o?ov)
OoE-
='U)-O"ÕOs(r!æ.
F-O
-?cfec)
l#rr+H-H++Rl++++++++++ + + { + + + + + + + + + + + +
-b'. oo t5.00 30.0u
o?@
45.00 60.00 ?5.00TINE (HIN)
I 05 .00 I 20 .0090 .00
+.+
*.J******** *****+
00 15.00 30.00 ¿5.00 60.00 ?5.00 90.00 105.00 t20.0cTIIlE (NIN)
@O
,oCf
Ë
@
-ozà-E
==v_o
Ot!l-CIÉ.
N.C)o-;-><l,!,
>OCocJ^-I
Figure 4.25 Cavity expansion rate versus tjme; t4S Test 11, Stage
319
cf,
?Oú)
++++++++++ + + + + + + + + + + + + + + +
'b'. oo t5.00 30 .00
ooErE=
U)-O-ooq
æ
FO
-?G!(J
O?o
@o
,O
=xo
_OzÒ
;=Eç_o
Ol,!FcfÉ
N.oo--'fX]rrl.t=-lCol(J:-.1
U .00 t5.00
d5.00 60.00 75.00TINE f NIN)
90 .00 I 05 .00 l 20 .00
I
90 .00]-
l 05 .00 I 20 .0030.o0 4's.00 sb.oo rb.ooTINE IIlIN)
***+++'# ++ * . + + + 4*++*++++++
++
Fiqure 4.26 Cavity expansion rate versus time; MS Test 11, Stage
320
o?OØ
oO
E-
='a!)
-O-oOsG!É.
FO
-?G<L)
++++++++++
t5.00 30 .00
OI9lqr .00 45.00 60.00 75.00
TIHE IIlIN)90 .00
I _I 05 .00 r 20 .00
.00
@O
,OOT
@_(fz¿-
=EEç-?oL¡Jl-cÉ.
N.oo- --Xt!
>OCfoLJ ---1J
\****+ +++++
+{
l5 .00 3b.oo ¿b.oo s'o.oo r's.ooT IHE ( H IN }
I ]_90 .00 t 05 .00 1 20 .00
Figure 4.27 Cavity expansion rate versus time; MS Test 11, Stage
321
o?oø
c)o
=È
==(t)-O"oClqGqÉ
F_O
-?crs(J
o?o
{'{-{+++lÈH*l-+Fl-R++++++++++ + + + + + + + + + + + + + + +
.00
@o,OOø
@
^(]z.¿EEE<-?OLrJFCEÉ.
N
o-¿)<t!
>oCEo(Ji
oo
t
"b'. oo I 5 .00 30 .00
t5.00 30 .00
15 .00 60 .00 ?5 .00TINE (IlIN)
s0.00 105.00 120.u0
90.00 105.00 120.0045.00 60.00 ?5.00TIIlE f NIN)
+*+
++++++++ {+'+ *+* + + + + + + + + 4 *
*****
Figure 4.28 Cavity expansion rate versus time; l4S Test 11, Staqe 5
322
E
=U)
=ocfÉ.
F
CELJ
o?r
O?
c)?;
ooæ_
U
.00
O@
-Ncto-E
ON
t!'-olN=tJ)tJ-)tjJÈ3o_ '_
l-
col(J:-
-b
28 .80 43.20T INE
57 .60(t1lN)
74.00r l0'
I 00 .80 l l5 .20
11.40 28.80 a3.?O 5?.60 't1.OO 86.40TIIlE tlllN) rl0' 100.80 il5.21
+æ{É+
Figure 4.29 Cavity pressure variation with time; MS Test 12
323
o?ou)
oO
E-
="U)'-o-oÉlqG!É.
FO
-9cEe(J
?C.fLr,Õ
o-=TLJF
.00
ooæ_
n
?
'I_lol*Ë's
I
-lol.lT+0.
oo
43.20T IIlE
57 .60( lllN l nl0
7 .00 86.40 100.80
?(JoLL, oo_'
(LEL¡J Õ*?
Variation within sample (a pts.)
l1 .40 28 .80 43.20 5?.60 ?2.00 86.10 t00.80 il5.20TIllEtlllNl ol0?
Average
'0 .0o td.10 zB.Bo Á'3.?o si.so 7a.00 86,10 l00.BO t't s.zoTINETNIN) *10'
Figure 4.30 Sampìe temperature variation with time; t4S Test 12
324
o?oLt)
oO
Er
='U)-O-oEçcE<É.
)-o-Oc<(-J
.00
@o
,OO
X
@
-o4O
E
==e*?
c)t¡Jl-CEÉ
N.oo-J-Xt!
>OGO(J^-
-t)
oO
@_
"b 2r6.00 25? .OO 288.00I .00INET
l4¿.00(NIN) I 80 .00
El0'
+
t*+******** + + * * + + + + + + + + + +++++++ ++
36 ,00 72 .00 I08.00 144.00 t80.00TIHt (11lN) El0'
2 ì 6 .00 252 .OO 288 .0C
Figure 4.31 Cavity expans'ion rate versus time; llS Test 12, Staqe
325
oooú)
OO
EÈ
==U)-cf-oOsG9É.
F-O
-?cEs(J
o?6
+++1+++14
-b'. oo 36 .00 '12 .oo t1¿.00 t80.00(HIN) xl0'
2 I 6 .00 252 .OD 288 .00
[þ******++++**++++++*+ + + + + + + + * + + + + * * * +
36 .00 72 .oo t 08 .00 t 44 .00 1 80.00TIIlE f NIN) xl0'
2 r 6 .00 252 .OO 288 .00
I 08 .00T IHE
.00
@O
,oOX
@
-OZ.oEEEç-9.OLrJi-cÉ.
N
X-t!
>OCEo(J '-'t
Fi gure A. 32 Cavi ty expansion rate versus time; MS Test 12, Stage
3?6
o?otn
++ #+ ++#++ + +#*{-}++ +++++++++{-}+{-}{4++++++++++++++++
+
36 .00 7?.OO 108.00 l{4.00 t80.00TIllt (NIN) El0l
I
2 I 6 .00 252 .OO 288 .00
?+*******++++**+*++**** * + + + + + + + + * + * * * + +
36 .00 7?.OO 108.00 I4a.66 180.00TIIlE (NIN) ã10'
rtt2 I 6 .00 252 .OO 288 .00
oO
Er
=*U)-O-oÉlqGeÉ.
ts()-?cEs(J
.00
otol;l"b'
.00
@o,ooI
@
z.¿-
=EEg-cfol¡Jf-CEÉ.
N
o-;-xt!
>OCEoI ì '--Ì
Figure 4.33 Cavity expansion rate versus time; MS Test 12, Stage
3?7
c)?oD
o(f
Er
='(t)-O-oOqcr!É
FO
-?c!(J
@(f
Ox
@_OZO
EEE?-?Ot¡Jf-CIÉ.
.00
o?@-
"b 216.00 252.O0 288 .0036 .00 72.DO
¡
72.OO
r 08 .00TIIlE
I 14 .00ttllN)
I 80 .00xl0l
i#¡\dd4 ++4t+
t__l^-l---T.oo 36.00
N.oo-¿Xt!
>oCEo
t08.00 144.00 1q0.00 216.00 252.00 288.00ilNE (11lN) xlo'
Figure 4.34 Cavity expansion rate versus time; MS Test 12, Staqe 4
328
ooob
oO
E-
==U)-O-oOçc!çÉ.
FO
-?G!(J
(:t
?@_
"b
OI
.00 t40.00 I 60 .00Ï INE
@
fryry
l@@
ryffi
ryB@F+
.00I
0xl80 .00
(rllN)
GDo-l5*t!æ=ou)\n,u)-l,!,É.o_
F6|-r
CE(J
oo
20 .00 40.00 I 00 .00 I 20 .00x l0'
I 40.00 I 60.00R'.oo 60 .00 80 .00T Ir1E. f rl lN )
F'i gure A. 35 Cavi ty pressure varÍation with time; l4S Test 13
329
oooÚ>
ooEr
='(t)-'l o-oOçCJqÉ.
l-o*?ce(J
r 60 .00
?c)t¡L¡J oo^1
o_
=l,¡J ol-g
60 .00 80 .00TIIlE(11IN)
120.t)0 140.00 0.00
LJ
()oLTJ OoN
o_Et¡J ^Fõ
;'0'.00 20 .00 ;0 .00 80 .00 I 00 .00TIllttNIN) xl0' r20.00 ¡40.00 1 60 .00
I
0xl
I 00 .00E l0z
oO
Variation within sample (4 pts.)
Average
Figure 4.36 Sample temperature varÍation with time; llS Test 13
330
(f
?oø
clO
==U)-O-oOsG<É.
FO
-?C<(J
r{t{Èt-**lrtFt + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
36 .0t),OU
OI@:
n ¡26.00 I4¿.0054.00T I HE
77 .OO(l1lN) 90.0rJ
x l0'I 08 .00
.00
@O
.OOx
@
-OZO
E
EEs-?Ol,¡J
-Gæ
N
o- ¿-><t!
>OGO-t 36 .00 54 .00 1? .O0 90 .00
TINE tlllN) 'l0l108.00 126.00 14d.00
++
+
r+è++,,_
Figure 4.37 Cavity expansion rate versus time; FIS Test 13, Stage
331
;:U)
=FGæ.
l-
(T(J
O
on
o?-
O?
o?
olol'J
Ft'
oO
,Ocfx
o_OZOEEEç-?cft¡JFGE
N.O
o-;-X_l"L,
>OCEo(J '-
'b
++++++++++++++++++++++++++++++++++++++++++ + + + + + + + + + + +
.00 18.00
18.00 36 .00
36.00 54.00 1?.OOÏINT (11IN)
I I
---1
90..00 108.00 t26.00 144.00xl0l
.00 51 .00T INE
72 .00 90 .00(HIN) Ã10'
I 08 .00 t26.00 I a a . g¡
2Figure A.38 Cavity expansion rate versus tíme; MS Test 13, Stage
33?
ooØ
c)O
tr
='Lr)
-O-oo!csÉ.
FO
-?ccs(-)
+ ++++++++++ ++++++++ + +++++ +++++ +.1 + + + I + + +
o?ó'b'. oo 1 8 .00 36 .00 54.00 12.00 90.00
TINE (11lN) xl0' 108.00 126.00 l4a.g¡
+++.++++¡+++
18.0u 36.00 54.00 't?.oo 90.00 t08.00 ¡26.00 laa.g¡TIIlE (NINì kl0l
.00
@O
,OOx
C)
zaEEEs-?L!,|-cÉ
N.oo- --><l,¡J
>ÕCEO(J_-
I
Figure 4.39 Cavity expansion rate versus t'ime; t4S Test 13, Stage
333
o?oØ
oO
=-='(n_O-oÐqG<É.
FO
-?c!(J
o? +++++++++++++++++++++++++++++++++++++++++++++ + + + + + + + + +
"b'. oo t8.00 36 .00 s¡ . oo 't'z .Do sb . ooTIHE tNIN) '10'
r _108.00 ¡26.00 l4a.¡g
.00
@o'oc)¡t
@_OZO
E
EEs_o
oL!Ì--crÉ.
N.ÕL--><"t!
>OCEo
-%
++
l1r**,********* a * * + + + + I + + ++++++++*++lB .00 36 .0rl 1? .OO
ttllN)54 .OrJ
T I NT90 .00
xl0l108.00 t26.00 l4a.¡3
Figure 4.40 Cavity expansion rate versus time; llS Test 13, Stage 4
334
ooø
ooEÈ
==U)-O-oClçG!É.
FO*o
Ge(J
@cf
,O
=T@
_OZ.oELEs-9OLTJF-GÉ.
N.oo- ¿-Xl¡J
>OGoa I'-_R
++++++++++++++++++++++++++++++++++++++++++ + + + + + + + + + + +
t8.00.00
o
;-"b 36 .00 5 4 . 00 't? .oo
T IHE { N IN )
¡-90.00 ¡08.00 126.00 l4r.g¡El0l
+++
+ jt*******, + + + + + + + + + + + + + + + + + + + + + + + +
.0tJ 18.80 36 .00 72 .t)OtlllN)
90.00xl0'
54 .00T INE
1 08 .00 I 26 .00 l4d.0fì
Figure A.4i Cavity expansion rate versus time; l{S Test 13, Staqe 5
335
oIon
OO
EÈ
="(n_O-o(fsGeÉ
t-o-?cfe(J
++++++++++ ++++++++++++++++++++++++++++++++ + + + + + + + + + + +
1 8 .00 36 .00 54 .00 72 .00 90 .00TINE tHIN) xl0'
.00
o?@_-b ¡-
108.00 ¡26.00 l4¿.0n
@O
OX
T**"'-++++++ + + + + * + l + + + { + + + * * + + + + *
.00
@_OZO
E
EEs_o
Ot!l-CEÉ.
N.oo- --x-L!
>OCfoLJ '-ì t8.00 36 .0u 54 .00
T IIlEI'7?.OO 9q.00 t08.00 I26.00 rna.g¡
f lllN) xl0l
Figure 4.42 Cavity expansion rate versus time; FIS Test 13, Stage 6
. 336
EE
U)
=oCEÉ
l-
G(J
o?oú
O?r
O?
OO
++++++++++++++++++++++{ +++++++i+++++++++++ + + + + { + + + + + +
o?@
"b'. oo t8.0u 36 .00 54 .00 12 .OOTIHI (NIN)
I 08 .00tt
126.00 l4a.6990 .00xl0'
+\*+**++* * + + + + + + r + + + * * + + * + + + + + +
18.ó0 36 .00 51 .00 't2 .oo 90 .00TIIlE (HlN) xl0'
108.00 I26.00 l4¿.00,00
@o'O
:x
V)
-ozå'
=EEe_o
Ot!FGÉ
N.oo-o-XL!
>OGO(J '-.t
Figure 4.43 Cavity expansion rate versus tÍme; llS Test 13, Stage 7
337
oO
\n
++++++++++++++ + + + + + + + + + + +
+++++++++++++++++
1 8 .00 35 .00
O?r
O?
(f
?
O?@_
"b
;
=U)ÐclCEÉ
)-
GCJ
.00 5¿.00T IHE
12 .00 90 .00(11lN) xl0'
t _-=---1108.00 t26.00 lla.g¡
++S .r++1 I **+** * + * * + + + + + + + + + + + r + + + + *
*+
18 .00 36 .0U 7?.00 90.00(NIN) xl0rt08.00 t26.00 l4¿.00
æO
'OOx
o_OZOtEEq-?.OTL,Ì-cE
N.oo- ¿-XtJJ
>OGO(J_-
I .00 54.00T INE
Figure 4.44 Cavity expansion rate versus time; l'1S Test 13, Stage 8
338
.00 I
o?oØ
O?r
o?
CfO
c)?@_
n
EE
(n
=OGÉ.
F
CE(-J
++++++++++++++++++++++++++++++++++++++++++
+ + + + + + + + + + +
.00 36 .00 12.OOfHIN)
s¿.ooT IHE
90 .00xl0'
I 08 .00 I 26 .00 I 4 a . ¡¡
.f*r+++
++'{+
i****** r + + + + + + + * + + + + + + + + + + + +
I I .00 36 .OrJ 12 .00 90 .00(11lN) xl0'
rtf108.00 lZti.00 td¿.u0.00
æo,OOx
o^Oz¿
EEr-?
Ot!F.CEÉ
N.(]o-;><_tL,
>OCIo(J '.
OO
n 54 .00T INE
Figure A.45 Cavity expansion rate versus t'ime; l1S Test 13, Stage
339
c)?otn
oO
Er
='tJ)
-O-oClncE<É.
l-o-..?cE!LJ
.00
o?o_"b 6 .00 l4a .gg18.00 54.00
T IIlE12.AO
{11lN) El0
.00
æO
,OoX
@
-Ozô
==Es_o
OLL,t-CEÉ
N.oo- Ò-xUJ
>OCfo(J^-'t t8.00 36 .00 51.00 12.OO 90.00
TINE f HIN) El0'108.00 126.00 I4¿.0c
itq.. 4 #it i-tu+* r++ rT+
+
Figure 4.46 Cavity expansion rate versus time; MS Test 13, Staqe 10
34i
O?ot¡)
OO
Ir
='U)-O-oOe
É
FOO
cs(J
, ++.+
. +++l++++
+++
O
ó'b'. oo 30.00 60 .00 210.00 240.otr 50 .00
ol0'90 .00T INE
I 20 .00{NIN}
l 80 .00
T
-N*O
zE:\O
1ULJG_È3
t!ÞgGOÉ¿
ùXL!o
o
+
+t
.q +{ r+++ 11* **+ + + + +
. _+->I.ooG(J
I 20 .00 I 50 .00(NIN) xl0'
t80.00 2r0.00 240.00¡t30.00 60.00
I
90 .00T IIlE
F'igure 8.1 Cavity expansion rate / radius versus time; S.S. Test 2
342
O?aØ
Oo
E-
='U)-o-oOvcE<E
tsO
>_G<(J
-"-"--t-t-
.00
O?æ_
"b
?
-C-N¡fo
z
\O,
;-cI:Éo'
t!FúGCÈ;-LXt!o
c)
=lG(J
+
++
** ***fr+*+++++++
40.00 80 .00 I 20 .00 I 60 .00 200 .00TIIlE tlllN) xl0'
10 .00 80 .00
¡ _----1210.00 280.00 320.00
I 20 .00T INE
I 60.00 200.00(HINÌ El0l240.OO 280 .00 320 .00.00
Figure 8.2 cavity expansion rate / radius versus time; s.s. Test 6
343
o?Oû
OO
Er
='-O-ÕOecsÉ
l-o
-?G!(J
.00
OO
@_
"b 10 .00 20 .00 30 .00T I NE
40.00 50.00t N I N ) x 102
60 .00 70 .00 80 .00
' -+_N
*O
zr:\O
;-C_oao
L¡Jl-nGOorc)
LXuJo
O
> tb'. oo
cr(J
++
'r ' + {+*{¿r+Ha+ 4+**++ ++ + + + + + + + +
I 0 .00 20 .00 30 .00 40 .00 50 .00 60 .00TINE (NIN) ã102
70 .00 8c .00
Figure 8.3 Cavity expansion rate / radius versus time; S.S. Test 4
344
O?OØ
OO
Er
='U)
-oC)çcrsÉ.
F-O
-?cfrCJ
.00
OO
-:"b
0030 .00T IIlE
îU;.
XO
\O-
¿-G:Ès-
tLJFnCOo. ¿-
ù.XL!o
O
>lc(J
r0.00 20.DO 3u .00 4 0 .00 50 .00TINE f NIN) *lO'
60 .00 70 .0u 83 . rJU
t+\!++++r+++ ++ + + + + + i + + + +
.00 10.00 20 .00 ¡0.00(11lNl , I bo,'oo
60 ' oo 70 80 .00
time; S.S. Test
é
Figure 8.4 Cavity expansion rate / radi us versus
oqoÐ
34s
OO
Er
==U)-O-oOçG!É.
tso_?G!(J
l4 .10 28.80
14.40 28.80
13 .20Ï IHE
51 .60(NIN)
't2 .00x 102
86.40 r l5 .20
?c]RXO
zrl\O
å,_,C_È6
LLJtsurCOÉ.¿
ù><TLJ O
O
cr(J
n**.¡*+á + + ++++++++++++++++++++ +++++
-R'.oo 86.4043.2U 57.6u 't2.OO
TINE (NIN) xl0'100.80 il5.20
Figure 8.5 Cavity expansion rate / radius versus time; S.S. Test 7
346
OIOØ
OO
Er
='U)-O-oCtçGeÉ
FCf
-?cEe(J
T
-Cl
"o.
zE:\6-
-c:)G_Èo-
t!l- rr¡colG;-l.to-l><lt¡J- IOI.t=alCELJ
o?@_
"b I 50 .00 5 .00 200.0075 .00 lOtJ .00(MIN)Ï IIlE
t 25 .00s l0?
++++++ + +{ { +.++ + { + +++++++++ +
7s.oo ¡oo.oo r¿s.ooffio.ouTINE (11lN) ã10'
25 .00 50 .0u
FÍgure 8.6 Cavity expansion rate / radius versus time; S.S. Test 5
347
(fO
Er
="U)_O
OsÉ
'.--.1
cr!(J
--.-N
x3
z
\o
å,.c-
LLJtsúGO
-><LJJ o
O
> l'. ooc
I 50 .00T IIlE
3
@_
IJ 50 .00 r 00 .00
50 .00 I 0o .00
200 .00 250 .00( M IN ) x l0?
300 .00 350 .00 ¿0tJ.0c
I 50 .00T INT
200 .00 250 .00 300 .00( H IN I x 102
350 .00 { c0 .0:
FÍqure 8.7 cavity expansion rate / radius versus time; s.s. Test 9
348
o?on
30.00T INE
¿u.00ININ)
50 .00xl0r
ORXO
z.
L.\O
;-c:olo
t!tsLnCTOÉ.¿
LXL¡J o
o
>R'.oo t0.00 20 .00 30.00 10.u0 50.00 60.0u ?0.00 8c.0uTINE (NINÌ al0lc
L-J
EÈ
='u-)
-O-OOqceÈ
FO
-Ocr<(J
Figure 8.8 Cavity expansion rate / radius versus time; S.S. Test I
349
o?Otn
oO
EÈE!
u-)
-O-oOsGvÉ.
FO
-?CEe(J
+++++++++++++++++++ +++++++++++ ++++++++++++++++++++ +++++
.00
o?O-
"b 18.00 .00 54.00T IIlE
7? .OO(NIN) 90 .00
x l0'l 08 .00 r 26 .00 t4¿.00
-OTO
=\O
¿-C:olo
t!FncfoÈd
(L><uJo
o>R'.oocLJ
51 .00T I I1E
r+
++**+
'-l/*+*' *****-*** * * + + + + + + + + * + + * { + + + * * .r + * a * +
18.00 36 .00 12 .00 90 .00tHIN) El0'
1 08 .00 t 26 .00 l4a .3¡
Figure 8.9 cavity-expansion rate / radius versus time.; lls Test 10,Stage 1
350
O9Oa
OO
Er
==U)-O-oOs
É
FO
-?G<(J
++++++++++++++++++++ ++++++++++++++++++++++ ++ ++++++ + +++
o?@
"b.oo r 8 .00 36 .00 s¡.oo 't2.oo s'olffio.ooTIllt (11lN) El0'
È *++. # .**++4** + +**++ *
* * * + + + + + + + + + + + * * * * * + { 1 .¡ + +
=R'.oo t8.00
ToRIO
z
\O
¿-c:olo
Ldl-oGOÉ.¿
o_XLL,o
O
cC-J
¡'o.oo s4.oo 1'z.oo s'0.ffi0TINE (NIN) xl0' UO
Figure 8.10 Cavity expans'ion rate / radius versus time;Stage 2
MS Test 10,
35i
oIo@
OO
Er
='U)-Ò-o(fvGrÉ.
FO
-?cE!LJ
++++++++++++++++++r ++++++++++++++++++'+
++++++++++++++++
oq@_
"b .00 I .00 36.00 72.O0 90.oollllNl xl0'
51 .00T I I1E
I 08 .00 1 26 .00 I44.00
-C_N
XO
z
=:\o
;-CI_Èo
LLJF-6CEOÉ.¿
o_Xl'!o
O
lr++'É+++l++l+ +++++++++ + + + + + + + + + + + + * + + + + + + + + t * .r *
>R'.oo r8.00 36 .00CE(J
54.00T INE
72 .OO 90 .00{11lN) El0'
I 08 .00 I 26 .00 I 4 a . g¡
Figure B.1i Cav'ity expansionStage 3
rate / radius versus time; l4S Test 10,
352
,00
a?oØ
oO
r
O?
OI
o?@_
1)
;
=(n=OqÉ.
cfLJ
18.00 36 .00
l8 .00 36 .00
't? .00(NINI
54 ,00T INE
90 .00xl0'
1 08 .00 r 26 .00 I 4 d .00
-O-ñXO
;\O
;-a;EO
UF-nGoE¿
o_xLL, O
Õ
i+Ì+ +.¡++ ¿*+++++r +J++ *++ ++++++++**++l +
=Ì'.ooC 108.00 126.0054 .0uT IIlE
7? .00(NIN) 90.00
El0'
Figure 8.12 Cavity expansion rateStage 4
time;/ radius versus llS Test 10,
353
o?OØ
O?-
O?
o?
o?o_.U
E
=U)
=ocÉ.
F
c(J
36 .00
36 .00
54 .00T INE
't2 .00ftltN)
90 .00sl0' r 26 .00 I 4 ¿ . tJO
-o_N
XO
E:\o
;-G:olo
L¡JF6COÉ.¿
L><Lrj o
O
>ì'.ooCLJ
Figure 8.13 Cavity expansionStage 5
't?.oo 90.00f HIN) nl0' I 08 .00 I 26 .00 I { c . ¡¡51 .00
T IHE
Ii'o-."t
rate / radius versus time; ItS Test 10,
354
O?Oû
OO
EÈ
="aJ)
-oCleu-É
FÔ
-?G9(J
++++++++++ + + + + + + + + + + + + + + +
.00
o?@_
"b t5.00 30 .00
ToRXO
zE:\o
O-(I:olo
t!l-6GOÉ¿
o_XLJ-, o
O
>R'.oo 15.00 30 .00cr(-J
Figure 8.14 Cavity expansionStage 1
45 .00 60 .00 75 .00TIHT IHIN)
90.00 t05.00 I 20.00
¡tI 05 .00 l 20 .00I 5 . 00 60 .00 ?5 .00 90 .00
TIHE f IlIN)
++
+*+
++
++
++ *+++
** + + +
++*++++++
rate / radius versus time; FIS Test 11 ,
355
o?OØ
oO
r
OO
o
++++++++++
E
=U)
=cfCEÉ.
F
cr(J
O?@
îORTO
z
\o
O-a:Èo
t!f-6Goor¿
o_><uJo
O
-b'. oo t5.00 30 .00 1 5 .00 60 . 00 75 .00TINE (11IN)
90 .00r¡
I 05 .00 I 20 .00
+.+
****.**r****** *+{+++
.r*+++
>l'.ooCE
l5 .00 30 .00 t-45.00 60.00 ?5.00 90.00 105.00 120.00TIIlE (NIN}
Figure 8.15 Cavity expansion rate / radius versus time; MS Test 11,Stage 2
356
cl?OÐ
OO
E-
="tn-O-oC)q(reÉ.
FO
-=G<(J
CfO +tsts*t{-H+ts{-}*++È++++++++++ + + + + + + + + + + + + + + +
'l'b.00 15.00 30.00
15,00 30 .00
Figure 8.16 Cavity expansionStage 3
15.00 60.00 75.00TIIlE (NIN)
90.00 I 05 .00 I 20 .00
.00
îORXO
z
\o-
;-c:ol e-
trJF9coȿ-
L><LrJ o
O
=RCELJ
¿!.oo ob.oo r's.ooT.II1T ININ)
90 .00 t 05 .00 I 20 .orj
+
***+*+A+
l +*++ ++
rale / radius versus time; MS Test 11,
357
o?ID
OO
=r
=*(n-O-oOeGsE.
|-(]-?cIeL)
++{+}{-+ì++{{J-#++++++++++++ + + + + + + + + + + + + + + +
15.00 30 .00.00
()?@_r¡-
U 90 .00 I 05 .00 I 20 .0015 .00T INE
60 .00 ?5 .00fHIN)
ORHO
z
\O
;-G:olo
LÙFÐGoor;
L><L!, oo>l'.oo I5.00 30 .0t)CE(J
Figure 8.17 Cavity expansionStage 4
45 .00 60 .00 ?5 .00T IIlT ( N IN ì
I
90 .00 r 05 .00 t 20 .00
++
******** **+++
¡+'+*++++++{+
rate / radjus versus time; t4S Test 11,
358
o?Oa
c)O
Er
='U)IO--Osolsæ
FO*?Gq(J
#+{-s{-{++l-{.j-Hl+++++++++++ + + + + + + + + + + + + + + +
.00
o?@_
"b 1's . oo e'o . oo z's . oo sb . o0 -tb; .00 --T2o . ooTINE (NIN)
+*+
++++++++
++¡++ *+*
+*
>R'.oo
-O
Xo
z.-ØE:\o
O-G_Èc)
LLIF6GOor;
o_><Lrj o
Õ
crLJ
I 5 .00 30 .00
t5.00 {5.00TINE
60 .00 75 .00ftllN)
90 .00 I 0s .00 I 20 .00
Fiqure 8.18 Cavity expansÍonStage 5
rate / radius versus time; llS Test 11,
359
o?oÐ
oO
=r
=-U)-o-oOsG9É.
FO
-9cEe(J
288.00
cfRxo
z
\o
o-a:É.o
t¡Jl-mcfoÈ;LxuJo
o
CE(J
Figure 8.19 Cavity expansionStage I
rt-t11.00 t90.00 216.00 252.00 288.00(HlN) xl0r
f*o********++*+*+++++++++*
+ + + +++++ ++>l'.oo 36 .00 72 .00 I 08 .00
T I IlE
I 08 .00TIIlE
I 1¿ .00NIN)
?ate / radius versus time; l'1S Test 12,
360
O?oú)
oO
Er
='u-)
-O-oOçGeæ
t-o*?cEq(J
oO
crR)fo
z.
E:\e
;-cr:Èo
L!FnGC)o<¿
o_><LrJ o
O
>l'.oocr
I 08 .00T INE
1 14 .00(HIN) I 80 .00
ql0l
{-t++++4-H+#++
tr'. oo 36 .00 216.00 252.OO 288 .00
i****** * + + + + + + + + + + + * n * * + + + + + + * + + + + * + + +
(J3b.oo j'z.oo lbe.oo lio.o e.ooTINE {HIN} "l0l
Figure 8.20 Cavity expansion rate / radius versus time; llS Test 12,Staqe 2
361
o?oa
o(f
Er
='u-)-O-oO!c{É.
f-o
-9cE!LJ
.00
OIO-
"b
TORXO
z
\o
ó-c:E6
t!F-OGOorJ
o_xL!o
o>l'.ooG
36 .00 72 .OO 108.00 l1ó.00 180.00 216.00TIIlE (t1lN) rl0' 252.00 288.00
+
Í**y'4****** + + + + + * * + * + + * * * * + + + + + + + + + + + + + + + +
(J36 .00 72.80 108.00 144.00 t80.00
TINE f NIN) xl0'2 I 6 .00 252 .OO 288 .00
Figure 8.21 Cavity expansionStage 3
yate / radius versus time; l.1S Test 12,
362
o?oU)
O
tr
='U)-O"oOvc!É.
tsO_?cv(J
o?O-
"b
^O-c
I 08 .00T INE
114.00 t80.00(11lNl xl0l
2 I 6 .00 ?52 .OA 288.0C
T I ilEt14.00
ttllN)I 80 .00
E l0'216.00 ?52 .OO 288 .00
XO
\e
¿-c:É.o
Lr,FmGOor¿
o_><l¡Jo
o>R'.oo 36 .00 72 .OO I 08 .00C(J
Fi gure 8.22 Cav'ity expansionStaqe 4
rate / radius versus time; l4S Test 12,
363
oO
Ð
oO
=r
==(/)-cf-oC'gGsÉ
tsc)-?Ce(-J
+l+{l#j# + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + I + +"b'. oo t 8 .00 36 .0u s4 .00 iz .oo sb. oo r'oa . oo lfã. oõ-Jo o . ooTlllE (11lN) ol0'
++
+ {++*+
o?o
-Cr_N
XO
;E:\o
;-c:E6
L!*ØCOÉ.¿
L><l,¡J o
o
=R'.oo 36 .00 51.00Ï IIlE
't?..00 90.00(NINI "l0l
108.00 126.00 l4d.rioG(J
F'igure 8.23 Cavity expansion rate /Stage I
radius versus time; llS Test 13,
364
o?OtJ)
ooEr
==(n-O-oOscE<É.
FO
-?cf(J
@-tb'. o0
++++++++++++++++++++++++++++++++++++++++++ + + + + + + + + + + +
OO
l I .00 36 .00 51 .00T INE
1? .oo 90 . oo r ba . oo I'zsio l¿ o . oo(NIN) xl0r
ORXO
=E:\O
;-c:ol6
t!l- u:GOord
o_Xuo
o
Fiqure 8.24 Cavity expansionStage 2
I_9q.00 108.00 126.00 r44.00ol0'
. ' -l¡:L>R'.oocLJ
18.00 36 .00 54 .00T INE
't2.ootNIN)
rate / radius versus time; f1S Test 13,
365
o?Oô
OO
Eñ
==-c)-ÕtlsG{æ.
l-o
-?G<(J
++++++++++++++++++++++++++++++++++ ++ +++
"b'. oo t8.00 36 .00 51 .00 72 .OO 90 .00llllE (HIN) xl0'
I 08 .00 126.00 I4a.g¡
It,+++++***36 .00
tttt54.00 'ì?.0o 90.00 t08.00 I26.00 t4a.¡9TINE tlllN) xl0'
O?@
.00 t 8 .00
ORfO
z.
\O-
O-CE:oa o-
LrJÈaGOÉ.¿-
ùXL!o
o
=RG(J
Figure 8.25 CavitySta ge
expansÍon rate / radius versus time; MS Test i3,3
aw
c)?otn
oO
Er
='(t)-O-o
Ht*+++++++++++++++++++++++++++++++++++++++++++++ + + + + + + + + +
Ðrcf!É
FO
-?cf<(J
.00 I
O?@_
"b .00 36 .00 12 .OO(HINì
51 .00T IIlE
90 .00xl0'
.00 I 26.00 I 4 a . ¡¡
OHICI
z.
E:\o
Å-G:ol c)
t!F-oGoÈó
(L><L¡J O
O
=l'.ooG 54 .00T I NE
++
llr+*,*****+*+* 4 * * + + { + } + + + r ¿ ¿ + + + + + + + + * + +
t8.00 36 .0t) 't2 .oo 90 .00(HIN) xl0'
108.00 126.00 l4¡.(JCì
Figure 8.26 Cavity expansionStaqe 4
rate / radius versus time; F{S Test 13,
367
OIoa
OO
Er
='U)-o-oClv(Iۃ.
ts()-:G<LJ
oo ++++++++++++++++++++++++++++++-l+++++++++++ + + + + + + + + + + +
"b'. oo 18.00 36 .00 ¡26.00 144.00
+
+
+
t*************+ + + + + + + + + + * { + + + + + + + + + + + +
>'b . oocr l8 .00
54.00T IHE
't2 .oo 90 .00(NIN) xl0l
t 08 .00
-O-NxÕ
=L.\O
;-cfrÈo
t¿J)-ncroÉ.¿
Lxt!o
O
(J36 .00 54 .00 '1? .OO
TINE f IlIN)rtt
108.00 126.00 t4a.g¡90 .00xl0l
Figure 8.27 CavÍty expansion rate /Stage 5
radi us versus time; l4S Test 13,
368
o?OtJ)
ooEr
='U)-O"o(]çÉ
tsO-?CEeLJ
++++++++++ Ì++++++++++++++{++++++++++++++++ + + + + + + + + + + +
o
'b'. oo 1 8 .00 36 .00 12 .00 90 .00f NIN) xl0'
r
---_--1
108.00 t26.00 l1a.¡¡
T{É ++{{++++++{ + ++
+++++++++++++*++++*
l8 .00 36.00 54.00 12.00 90.00TIIlE (NlN) El0'
trI08.00 t26.00 ¡1¿.00
51.00T INE
.00
TO9xÕ
z.
\o'
O-G:E6'
t¡-,Þ-6coÈ¿-
fLXLJo
o
>ncLJ
Figure 8.28 Cavity expansionStage 6 "ate / radius versus time; l.lS Test 13,
369
oIotn
oaEr
="U)-o-oOqcreÉ.
*?G<LJ ++++++++++++++++++++++l
+++++++ [+++++++++++ + + + + I + + + + + +
I 08 .00 126.00 l4¿.tì0.00
O?@_
"b 36 .00
îORXO
54.00 1?.oo 90.00TIllt (NIN) Ã10'
i***** ,. *, '+
++++++++++**l*+++{++++
+
=E:\o'
o-G:É¿
UJl-- Dcoæ¿
o_xL!o
o
G
..ì_ | |
l'8.00 36.00 5¿.00 '7?.oo 9q.00 108.00TINE tNlN) El0'
126.U0 l4¿.uLì
Cavity expansion rate / radius versus time;Stage 7
Figure 8.29 l'lS Test 13,
370
o?OØ
oO
EÈ
==U)-O-oÕscE<É.
tsO
-?Crq(J
++++++++++++++++++++++1++++{++++1+++l+++++
I + + + + { + + + + +
'b'. oo ¡8.00 36 .00 s¡ . oo i'z .oo sb . ooTIHE tNINì xl0'
ÕO
@
-
108.00 126.00 l4¿.00
TORxo
E:\C)
¿-GlÈo
t!F6cfooró
L><L!o
O
++l+ €. +'**** ** *** * + + + + + + + + * +'+ + + + + + + + * + + +**
>l'.ooG 54.00 '1?.OO 90.00
TlllE tHIN) xl0' 108.00 t26.00 t4¿.0a
8.30 Cavity expansion rate / radius versus time;Stage 8
t8 .00 36 .00
Fi qure MS Test 13,
371
O?OØ
OO
r
OO
OO
;
=U)
=OcrÉ
F.
cr(J
o?
rtt-5{.00 1?.OO 9q.00 t08.00 126.00 ria.¡gTIIlE flllN) xl0'
+{+rl*.+
++4*
j*t * * .-*+ + + + + 4 + + + * + + + * * + + + + + + +
>R'.ooC tgioo
"b'. oo 1 8 .00 36 .00
-O-NIO
z.
\O
Ë-c:Èo
LTJl-4cc)oro
o-Xl'!o
O
(J54 .00Ï IHE
12.DO(rllN) 90 .00el0'
I 08 .00 I 26 .00 I 4 a . ¡¡
Figure 8.31 Cavíty expansionStage 9
rate / radius versus time; lrls Test i3,
312
o?OØ
OO
Er
='U)-O-¡>OeGeÉ.
l-o
-?Ge(-J
O?o-b'. oo I I .00 36 .00 54 .00 ?2 .00 90 .00
TIIlE f HIN) lnl0'r l_108.00 t26.00 r4¿.00
TORXO
2
\O
Å.,G:olo
u_JtsnGCIEO
*><L!o
O
G(J
. ']->R'.oo 18.00 36.00 si.oo z'z.oo sb.oo lba.oc tþo.o¡ li¿.or-
TINE (HIN) xl0'
Fi gure 8.32 Cav'ity expansion rate / rad't us versus tíme; l4S Test 13,Stage 10
ç\t*\+
374
tISTiNG OF PROGRA}4 MOYOPLI
ccc PROGRAM MoYoPtl (ocr., 1985)a ---c REVTSED JÀN.tz/eøc REVTSED FEB.z+/ea; ÀvERÀcE TEMp. pLOT ADDEDcC THIS PROGRAM REDUCES AND PTOTS OYO PRESSUREMETER CREEP DÀTÀcc pLoTs DoNE; cÀv. RÀ0. VS TiME (UUr,r STRESS ¡HCnEMENTS)C TEMP VS TIME (r'oun TEMP sENsIHc o¡vlces)C PRESSURE VS TIMEcC DEFINITION OF VÀRIÀBLES:cC PM=PRESSUREMETER SYSTEM NTJMBER
C SS=NUMBER 0F STÀGESC TT=TIME TO END OF EÀCH INCREMENT (UTH)C RN=VÀLUE MEÀSURED BY THE INDICÀTORC X=VERTiCÀI DISPLÀCEMENT OF t\DT ROD (MM)
C X=95*p¡q+çgc PM#1:X=0.5152*RN+5.7973C PM#2:X=0.5144*RN+5.8077C RJ=INSIDE RÀDIUS OF RUBBER MEMBRÀNE (MM)
C S=CROSS SECTiONÀL ÀREÀ OF RUBBER MEI'IBRANE (CU**2)C S=C3 + C4*RNC RS=CORRECTED INSIDE RÀDIUS OF RUBBER MEMBRÀNE (CM)C PG=CHÀNGE IN THICKNESS OF RUBBER }.ÍEMBRÀNE CORRECTION (}T'{)C PG= C7 + C8*tN(T) (}.il)C PR=ÀPPLIED PRESSURE (XP¡)C RG=REÀCTION (NNSISTÀNCE) OT NUggER }.ÍEMBRANE (KPÀ)C RG= C'1 + C2*LN(RN)C CORPR=PRESSURE CORRECTED FOR MEMBRÀNE RESISTÀNCE (KPÀ)C RO=OUTSIDE RÀDIUS OF RUBBER MEMBRÀNE (¡n¡)C T=TIME IN MINUTES (NL¡PSEO)C TEMP1=TEMFERÀTURE SENSING DEVICE #1, TEMP2=DEVICE #2, ETC.cC DÀTÀ INPUT SHOUTD BE SET UP'ÀS FOLLOWS:cc cÀRD #1: N (¡lu'fgen 0F DÀTÀ poINTS), SS (HO. Or STÀGES)C CÀRD #2: TEST#,ÀPR(ÀPPLIED PRESSURE),C1 ,C2,C3,C4,PM,C5,C6C CARD #3 TO 3 + SS: C7(K),C6(K),SN WHERE SN = STÀGE NO.C CÀRD #4 + SS : TS(1),TS(2),...TS(K)C CÀRD f5 +SS TO N +SS: DÀTÀ-- T,RN,PR,TEMP1,TEMP2,c TEMP3,TEMP4
DTMENST0N T('1 1 00 ),RH ( 1 1 00 ), pR( 1 1 00 ), TEMPI ( 1 1 00 ),teUp2 ( 1 1 00 ),*TEMP3 ( 1 100 ) ,rsl'rp ( 1j 00 ) ,x( 1 '100 ) ,p,r ( 1 100 ) , s ( 1 100 ) , pG ( 1 100 ) ,
375*RG( 1 100 ) , coRpR(1 100 ) , no(1100 ) , rBUF (4000 ) ,rs (10 ) ,c7 ('10 ) ,cB ('10 ) ,*ns ('1 1 00 ), n¡n( 600 ),¡t pge ( 500 ), TT ( 600 ),n2n ( 600 ), noR ( 600 ),*ATEMP( 1 1 00 ) ,ÀTlun( r 1 00 )
I NTEGER TEST, P}.1, SS , SN , CO
cc.C
REÀDING iN TEST INFOR}.IÀTiON ÀND CÀLCUtÀTING RESULTScc
}¡RrrE(6,100)I.tRrTE(6,'101)Rn¡¡(10,*)¡,55ne¡p( 1 0, * )TEST,ÀpR,c|,c2,c3,C4,pM,c5,c6}tRITE (6,102 ) tnSr,ÀpR, C1 ,C2,c3,c4,pM,c5,C6D0 130 K=1,SSREÀD( 10, * )Ci (K),c8(K),SNI.¡RirE(6,150 ) c7 (K) ,c8 (lr) ,sN
1 3O CONTINUErF (ss.nQ.1)co ro 160nn¡¡( 1 0,* ) (fS(n),K=1,Ss)WRITE(6, * ¡ (rS (n),K='1,SS )
1 60 wRITE(6,1 03 )I.¡RrrE(6,104)I{RrTE(6,105)I,IRrrE(6,106)I{RITE(6,114)K='1
D0 10 I=1,NREAD( 10,*)T(r ),RN(I ),pR(I ),teUpl (t ),teMp2
*TEMP3(l),reUp¿(l)r{RtrE(6,107) I,t(l ),nH(l ),pR(i ),reup1(I ),
*TEMP2(t ),tnUp3(t ),rnup¿(l )
rF (ss.nQ.1)co ro 120rF (r(r ).Gr.r(r-1 ) ) coro ilg
C THESE STÀTEMENTS ÀRE USED WITH TEST#12c
rF (r.ce.166.ÀND.r.rE.330) r(¡ )=T(l )+rs(1iF (r.cn.33'1.ÀND.r.LE.495) r(i )=r(l )+rs(2rF (¡.cn.496) r(r )=T(r )+rs(3)
C THESE STÀTEMENTS ÀRE USED WITH TEST#13c
I),
c rr (l.ce.95.AND.r.LE.204\ r(r)=r(l)+rs(1)c rF (1.ce.205.ÀND.r.LE.299) r(l )=T(r )+rs(2c rr (¡.G8.300.ÀND.r.LE.4t0) T(r)=r(l)+rs(3)c rr (l.cn.411.AND.r.rE.520) r(l )=T(l )+TS(4)C iF (I.cE.521.ÀND.r.LE.630) T(i )=T(l )+rs(5)c IF (I.c8.631.ÀND.r.LE.i40) r(r )=r(l )+rs(6)c rr (1.G8.i41.ÀND.r.I,E.852) r(i )=r(r )+Ts(7)c rF (r.ce.853.ÀND.r.rE.964) r(l)=T(i)+rs(B)c iF (1.cn.955) T(r )=T(l )+rs(9)
1 19 CONTINUED0 12'1 K=1,SSrr(r(r ).rE.rs(K)) co ro 120
121 CONTINUE
376
120 X(I )=C5*RH(l )+C6Rr ( r ) =2. 0*x ( r ) +6. 0*sgRr( 1 . 0_ ( xn ) /25. 0 ) **2 ) + 1 6. 0
RG( r )=C'1+C2*ALoG(RN( i ) )CoRPR(l )= (PR(r )-Rc 3)) h000.0pc( r )= (c; (K)+C8 (n) *¡i,oc(r( I ) ) ) /10 "0Rs (r )=Rr ( r ) h0 .o-pc (l )' S(l )=C3+C4*RI¡(l )
R0(I )=SQRT(nS(¡ )**2+S(t ) )nlO.O1 O CONTiNUE
I{RITE(6,108)I.tRrrE(6,109)}tRITE(6,110)I,ïRITE(6,11'1 )
}lRrrE (6,112)}tRirE(5,115)D0 20 I=1,NWRITE(5,1 13) I,T(r ),RO(I ),CORPR(l ),tgMpl (t ),
*TEMP2(t ),reUp3(l ),reup¿(t )
C WRTTE(08,*) T(I),RO(I)20 CONT]NUE
C0=0. D0 30 I=1,N
rF (rnupr (l ).cr.o.orF (rsup2(r ).cr.o.orF (reup3(r ).cr.o.orF (rsup¿(r ).cr.c.0gg=Çe+ 1
ATEMP(co)= (rsupl ( r )+TEMP2 ( r )+TEMp3 ( r )+TEl,{p4 fi) ) /t.OATrME(cc)=r(l)
3O CONTINUEl-^^
U -LVccc Pror Ro(MM) vs rl¡æ(ur¡l)t ---
cCALL ROTÀTE(90)cÀtl PtoTs(IBUF,4000)cÀtl PLoT(1.5,2"0,-3)R0(¡¡+1)=38.0R0(N+2)=3.0T(N+'t )=0.0T(H+Z)=800.0cÀLL ÀXI S (0.0,0.0,' TIME (UtH)
"-11 ,9.0,0.0,T1¡+'1 ) ,r(N+2 ) )
cÀLL AXIS(0.0,0.0,'CAVITy RÀDIUS (MM)
" 19,4.0,90.0,
*¡9(¡+1),no(¡t+2))cÀLL LINE(t,nO,N, 1,-1, 3)
c cÀLL syMBOL(0.5,3.6,0.21 ,' TEST#12"0.0,7)c cÀLL syMBoL(0.5,3.3,0.14,'.PRESSURE: 1500-2500 KpÀ"0.0,23)
cÀtl PtoT(0.0,4.0,3)cÀtt PtoT(8.0,4.0,2')cÀlt PLOT(8.0,0.0,2)cÀLL PtoT(0. 0, 0. 0,-ggg)
c
G0 T0 30G0 T0 30G0 T0 30G0 T0 30
377C PLOT TEMP(C) VS TIME(MIN)^ ---L ---
ccÀLt PLOT(1.5,2.0,-3)t(H+1 )=0.0t(H+2)=800.0TEMPl (¡¡+1)=-3.0TEMPl (H+2 )=1 .0TEMP2(N+1 )=-3.0TEMP2 (¡¡+2 )= 1 . 0TEMP31¡¡+1)=-3.0TEMP3(H+2)=1.0TEMP4 1¡'¡+ 1 )=-3 . 0
TEMP4 (N+2 )=1 .0CÀLL ÀxIs(0.0,0.0,' TIME(ulH)',-11,8.0,0.0,T1¡+1 ),T(N+2) )
cÀtl ÀxIs(0.0,0.0,'TEMP. DEG.C" l 1,2.0,90.0,*TEMP1 (H+l ) ,TEMP'1 (N+2 ) )
cÀLL tINE(t,tnupl,N, 1,-1,3)CALL tiNE(T,TEMP2,N, 1,-1,4 )
cÀtl tINE(T,TEMP3,N, 1, -1,2\cÀtl LINE(T,TEMP4,N, 1,-',l,0)
c cÀLL syMBOL(0.5,2.5,0.21,'TEST#12"0.0,7)C CÀLL SYMBOL(0.5,2,2,0. 14,'PRESSURE: 1500-2500 KPÀ',0.0,23)
cÀLL PLor(0.0,2.0,3)cÀtl PLOT (8. 0, 2.0 ,2)cÀtl PLoT ( 8. 0 ,0. 0 ,2 )
cÀLL PtoT(0. 0, 0.0,-999)cC PLOT ÀTEMP(C) VS TIME(MIN)^ ---c
cÀLt PtoT(1.5,2.0,-3)ÀTIME(,1+1)=0.0ÀTIME1¡+2)=800.0ÀTEMp1¡+1 )=-3.0ÀTEMp(¡+2 )=1 .0cÀLL ÀXIS(0.0,0.0,' TIME(UlH)
"-11,8.0,0.0,*ÀTjuE(;*l ),ÀTIME(¡+2 ) )
cÀLt ÀxIs(0.0,0.0,'TEMP. DEG.C"1 1,2.0,90.0,*ÀTEMP 1¡+'1 ) , ÀÎEMP (¡+2 ) )cÀtL LINE(¡rIUe,ÀTEMP, J, 1,-1,4 )
c cÀLL syMBoL(0.5,2.5,0.21,'TEST#12"0.0,7)C CÀLt SYMBOt(0.5,2.2,0.14,'PRESSURE: 1500-2500 KPÀ',0.0,23)
cÀtt Ptor (0.0 , 2.0 ,3)CALL PLor (8. 0, 2.0 ,2)cÀI,L PLor(8.0,0.0,2)cÀLt PLoT(0. 0,0. 0,-999)
cc PLoT PRESS. (np¡) vS TIUE (ulN)a ---L ---
ccÀLL PLoT ( 1 . 5, 2.0 ,-3)T(N+1 )=0.0T(N+2)=800.0
378
cc
cc
CORPR(N+1 )=1.40CoRPR ( H+z ) =0 .40cÀLL ÀXIS(0.0,0.0,, TIME (l¡ln) ' ,-11 ,9.0,0.0,*T(N+1),T(N+2))cÀtl ÀxIs(0.0,0.0,' CAVITy PRESSURE (MpÀ)
"21, 3.0, 90.0,
*coRPR 1¡,¡+ 1 ) , CORPR (H+2 ) )cÀtl LINE(r,CORpR,N, 1,-'1,3 )
cÀtl syMBot(0.5,3.5,0.21,'TEST# 12"0.0,7)CÀtL SYMBOt(0.5,3.2,0.14,'PRESSURE: 1S00-2500 KpÀ',0.0,23)CALL PtoT(0.0,3.0,3)cÀtL PLOT(8.0,3"0,2)CALL PtoT(8.0,0.0,2)cÀtl PLoT(0. 0,0. 0,-ggg)cÀLL PtoT(0.0, 0.0, ggg)
1 00 FoRMÀT (tlHt , /// ,5X, 'OyO PRESSUREMETER CREEP TEST' )
101 FORMÀT( t ' ,4X, | ============================t )
102 FoRMÀT(///,5x,'TEST NUMBER = , ,r2/1H ,4x,*'TEST pRESSURE = ',F6.1,' KpÀ',o/.5x,'RG(KpÀ) = ',F5.2,, + ',F5.2,' LN(RN)',- */5x,,'S(CM**2) = , ,F5.3,' * i ,F7.6,' *RN' ,/åx,*'PRESSUREMETER SYSTEM N0. = ',fj,/5X,*,x = , rF'l.5r' *RN trr + trF7.5)
150 FORMÀT(//,5X,'MEMBRÀNE THICKNESS CORRECTIO¡q="F5.4,' + "F6.4,
*'*LN(f) fOn ¡1=',I2)FoRltÀT( 1H1, 5X,' TEST DÀTÀ' )FORMÀT( t t ,5X, r=========r
)
FORI'{ÀT (///,T3,' pr.
"T1 1,'TIM8
"T21,'RN"T31,' PRESS.
"*T4 1 , ' TEMP 1 ' , T5 1 , ' TEMP2 ' , T6 1 , ' TEMP3 ' , T7 1 , ' TEMP4 ' )
FoRMÀT( ",T10,' (MIN. )
"T20,' (m,l)
"T31,' (Kp¡)
"142,'r' (c)
"T52,' (c)
",162,' (C)
"T72,' (C)' )
FoRMÀr (///)FoRUÀT( ",T3,I4,T9,F7 .1,120,F5.3,T31,F6. 1,T4 1,î5.2,
*T51,F5.2,T61,F5.2,T'7 1,F5.2 )
1 08 FORMÀT( ',1' ,///,5X, 'TEST RESULTS' )109 FORM.AT( ",4X,r============r )'1 10 FORMÀT(///,T3,'pT.
"T1 1,'TIl,{8"\21,'R0"T31,'CÀVITy"
*T4 1 , ' TEMP 1 ' , T5 1 , ' TEMP2 ' , T6 1 , ,TEMP3 ' , T7 1 , ' TEMP4 ' )
1'1 1 FORMÀT( ",T'10,, (MIN),,T20,' (!o,f)
"T31,'pREss"142,*' (c)
"T52,' (c)
"T62,' (C),,'172,' (C)' )
112 FoRMÀT(' ' ,T31,'(Mp¡)' )
11s FoRMÀr(///)113 FoRì,ÍÀT( ' ' ,T3,I4,Tg ,F7 .1 ,T20,F6.3,T3.1 ,F6 .4,T41 ,*F5.2,T51,F5.2,T61,F5 .2,T7 1,î5.2)
STOP
END
103104105
106
114107
379
tISTING OF PROGRÀM OYORÀTE
ccc PROGRAM oYoRÀTE(NoV., 1gg5),^ ___L ============================cccC PLOTS DONE; CÀV. RÀ0. VS TIMEc DRO/DT vS TrMEc DRO/DT / nO vS rrunC D**2pg/97**2 VS TIMEcC DEFINITION OF VARIABLES:cC PM=PRESSUREMETER SYSTEM NUMBERC SS=NUMBER 0F STÀGESC TS=TIME TO END OF EÀCH iNCREMENT (UIH)C RN=VÀLUE MEÀSURED BY THE INDICÀTORC X=VERTICÀL DISPLÀCEMENT OF tVDT ROD (M¿)C X=CS*RN+C6C pM#1:x=0.5152*RN+5.7973C PM#2:X=0.5144*RN+5.8077C RI=INSIDE RADIUS OF RUBBER MEMBRÀNE (¡ru)C S=CROSS SECTIONÀI ÀREÀ OF RUBBER MEMBRÀNE (CU**2)C S=C3 + C4*RNC RS=CORRECTED INSIDE RÀDiUs OF RUBBER MEMBRÀNE (cu)C PG=CHÀNGE IN THICKNESS OF RUBBER MEMBRÀNE CORRECTION (MM)C pG= C7 + CB*LN(T) (lol)C PR=ÀPPLIED PRESSURE (xp¡)C RG=REÀCTION (NNSISTÀNCE) Or' NUggER MEMBRÀNE (KPÀ)C RG= C1 + C2*LN(RN)C CORPR=PRESSURE CORRECTED FOR MEMBRANE RESISTANCE (KPA)C RO=OUTSIDE RÀDIUS OF RUBBER },ÍEMBRÀNE (MM)C T=TIUE IN MINUTES (NtÀPSNP)C TEMP1=TEMpERATURE SENSING DEVICE #1, TEMP2=DEVICE #2, ETC.cccC DATÀ IS REÀD IN FROM DÀTÀSETS KJÀRTÀN.ICE.DATA',N" :N=2,13ccC DÀTÀ TNPUT SHOUTD BE SET UP ÀS FOLLOWS:cc cÀRD #1: ¡l (}{I¡UBER 0F DÀTÀ POTNTS), SS (t¡0. Or sTÀcES)c cÀRD #2: TEST#,ÀpR(ÀpptlED PRESSURE),cj,cz,c3,c4,pl,f ,c5,c6C CÀRD #3 T0 3 + SS: C7(K),C8(K),SN wunnE SN = STÀGE NO.c CÀRD #4 + SS : TS('1),TS Q) ,...TS(K)
380
ccccc
CÀRD #5 +SS TO N +SS¡ DÀTÀ__ T,RN,PR,TEMP1,TEMP2,
DTMENSToN r( 1 100),R¡¡( 1 100),ifiiii¿äilÏårrr ( 1 i 00),reup2( 1 100),*TEMP3 ( 1 1 00 ),tsup4 ( 1 1 00 ),x( I 1 00 ),Rr ( 1 1 00 ), s ( 1 1 00 ), pc ( 1 1 00 ),*Rc( 1 I 00 ), CoRPR( 1 1 00 ), no( 1 1 00 ), IBUF ( 4000 ),ts ( 1 0 ), c7 ( 1 0 ),cB ( 1 0 ),*RS ( 1 1 00 ),DDR(500) ,elpH¡(600 ) ,TT(600 ) ,p2R(600 ) ,ROR(600 )
INTEGER TEST,PM,SS,SN
READING IN TEST INFORMÀTION ÀND CÀICUIÀTING RESULTS
r{RI TE (6, 1 00 )r.¡RITE(6,101)ng¡p('10,*)¡,5tnn¡u ( 1 0 , * )TEST, ÀPR, c1 ,c2 tc3 ,c4, PM, c5 , c6wRITE (6,102) tnst,ÀpR,C1,C2,c3,c4,pM,c5,c6D0 130 K=1,SSnn¡o( 1 0, * ) C7 (K),Cg (n), Sr,¡
I{RrrE(6, 150) cz(x),cB(n),s¡¡1 3O CONTINUE
rF (ss.nQ.1)co ro 160ng¡P( 1 0, * ) (fS (n),K='1,SS)i.¡Ri TE ( 6 , * ¡ ( rs (¡t ¡ , ¡= 1 , ss )
160 r{RrrE(6,103)I.¡RrrE(6,104)I{RrTE(6,105)I.rRrTE(6,106)I.¡RI TE ( 6, 1 14 )
K=1D0 10 I=1,NREÀD(10,*)1,(l ),Rw(l ),pR(l ),teup1 (l ),tn¡lp2(r ),
*TEMP3(i),rnUeA(l)t,lRITE(6,1 07 ) i ,T( I ) ,RN(l ) , pR( I ) ,reunt (l ) ,
*TEMP2(i ),reUp3(l ),rgì.rp¿(t )
rF (ss.eQ.1)co ro t20iF (T(r ).cr.T(i-1 ) ) coro rg
C THESE STÀTEMENTS ÀRE USED WITH TEST#12rF (r.cn.r66.ÀND.i.rE.330) r(r )=r(l )*rs(l )
rF (r.cn.331.ÀND.r.rE.495) T(r )=r(r )+rs(2)rF (r.cn.495) T(l )=r(i)+rs(3)
ccccccccccc
THESE STÀTEMENTS ÀRE USED WITH TEST#13
rF (1.cs.96.ÀND.r.rE.z04) T(l )=r(r )+rs(1 )
rF (1.cn.205.ÀND.r.rE.299) T(r¡r (l.cE.3oo.ÀND.I.LE.41o) T(rrn (t.cE.411.ÀND.i.tE.520) T(Iln (1.c8.521.ÀND.r.rE.530) T(rrF (r.cE.631.ÀND.r.tE.74o) T(rrF (1.cn.241.ÀND.r.rE.B52) T(rrF (1.cn.853.ÀND.r.LE.964) T(rrF (r.cn.965) r(l )=r(l )+rs(9)
119 CONTINUED0 121 K=1,SS
=t(t )+ts(2)=r(t )+TS(3)=T(l)+rs(¿)=r(l )+1S(5)=t(l )+rs(6)=r(l )+rS(7)=T(l )+rs(8)
381
rF(r(r ).rE.Ts(K)) co ro 120121 CONTINUE120 X(I )=C5*Rw(l )+C6
nr ( I ) =2. 0*X ( I ) +6. 0*SQRT ( 1 . 0_ ß0 ) /ZS. 0 ) **2 ) +1 6. 0Rc(r )=C1+C2*ALoc(nH(l ) )coRPR(l )=(pn(l )-Rc(r )),/looo.opc ( r )= (c7 (n)+cB (lr ) *¡r,oc (r( I ) ) ) /10 .cns(r )=Rr (r ) /t0.0-pc(i )
S(I )=C3+C¿*nH(l )
no(i )=SQRT(ns(t )**2+s(l ) )olO.O1O CONTINUE
t{RITE(6,109)wRITE(6,109)t{RrrE(6,110)I{RrrE(5,1'11)I,¡Ri rE (6 ,112)I{RITE(6,'115)D0 20 I=1,N}lRirE(6,1 13) t,t(t ) ,Ro(i ),coneR(l ),rgMp1 (l ),
*TEMP2 (l ),rnup3 ( I ),tnup¿ ( I ),pc(t )c l.lRrrE(08,*) T(r),Ro(i).20 CONTINUE
I.¡Ri TE (5, 200 )200 FoRMÀT (ul , / / / ,5x, ' cuRVE-Fr rrl Nc DÀTÀ' )
}IRITE(6,20'l )
201 fOn¡¡¡f ( t t r4Xrt ==================r )cc
cc
ccccc
NB: TT1 CORRESPONDS TO THE TIME ÀT I.rHIcH THE CREEP CURVEIS ESSENTIÀLLY STRÀIGHT
TT1=3060.0
cAtL RDR(N,T,Ro,TT1,DDR,ÀtpHÀ,D2R,TT,KL)
:::l=::lil=::=l:i:iï )
cÀrl RorÀrn(90)cÀLL ProTS(rBUF,4000)cÀLt PtoT ( 1 . 5, 2.0 ,-3)R0(N+1 )=38.0R0(N+2)=3.0T(N+1)=0.0r(H+2)=5000.0cÀLt ÀxIS(0.0,0.0,' TIMEcÀtt ÀxIs(0.0,0.0,' cÀvlTY
*R0(N+1 ),no(N+z) )cÀLL LINE(t,RO,N, 1,-1,3)cÀtt SYMBoL(0.5,3.6,0.21,cÀLL SYMBoL(0.5, 3. 3,0.14,cÀtl PtoT(0.0,4.0,3)cÀLL PLoT(8.0,4.0,2)CALL PtoT(8.0,0.0,2)cÀtl PLoT(0. 0, 0. 0,-ggg)
(ulH)',-1 1,9"0, 0.0,T1¡+'1 ),T(N+2) )RÀDIUS (m¡)
" '18,4.0, 90 " 0,
'TEST12' ,0. 0,6 )
'PRESSUREz 1250 KPÀ',0.0, 18)
382
cc Pror DDR vs rrun(r¡l¡q)t- ___
ccÀtl PLor(1.s,2.0,-3)tt(nr+1 )=0.0TT(KL+2)=5000.0DDR(Kt+1 )=0.000DDR(KL+2)=0.002cÀLt ÀxIs(0.0,0.0,' TIME (Ut¡¡)
"-11,9.0,0.0,*11(6¡+1 ),rt(nr+2) )
cÀLt ÀxIs(0.0r0.0,'cÀv. Exp. RATE (¡n¡rlUlH)"23,4.0,90.0,*DDR(6¡+1 ),DDR(KL+2 ) )cÀLL LI NE (TT, DDR, KL, 1 , -'1 , 3 )c cÀtt syMBoL(0.5,3.5,0.21 ,' TEST12"0.0,6)
C CÀtt SYMBOL(0.5,3.2,0.14,'PRESSURE: 1250 KpÀ',0.0,18)cÀtl PLoT(0.0,4.0,3)cÀLL PLoT(8.0,4,0,2)cÀLt PtoT(8.0,0.0,2)cÀrt PLOT(0. 0, 0.0,-ggg)
cC PLOT ÀtPHÀ VS TIME(UT¡I)I ---
ccALt PtoT(1.5,2.0,-3)TT(KL+'1 )=0.0TT(KL+2)=5000.0ÀIPHA(nl+1 )=0.0000ÀLPHÀ (xl+2 ) =0.00005cAtL ÀxIS(0.0,0.0,' TIME (Ul¡¡)
"-11,9.0,0.0,*11(¡1¡+1),tt(nl+2))cÀLt ÀxIs(0.0,0.0r'cÀv. EXp. RÀTE / RAD. ( /UiH)"2g,4,0,90.0,
*ÀLPHÀ (Xl*1 ),¡lpH¡ ( n¡,+2 ) )cÀLL IINE(tt,¡t ptt¡,KL, 1,-1, 3 )
c cÀtt syMBot(0.5,3.5,0.21 ,, T8ST12"0.0,6)c cÀLt syMBoL(0.5,3.1,0.14,' PRESSURE: 1250 KpÀ"0.0,19)
cÀtt PtoT(0.0,4.0,3)cÀtt PtoT (8 . 0 , 4.0 ,2)cÀLL PtoT(8.0,0.0,2)cÀLt PtoT(0"0, 0.0,-ggg)
ccC PtOT D2R VS TIME(UIN)t\ ___
ccÀtt PLoT( 1 .5,2.0, -3 )
TT(Kr+1 )=0.0TT(Kr+2)=5000.0cÀtt scÀLE (D2R ,4 ,0 ,KL, 1 )cÀLL ÀXIS(0.0,0.0,' TIME (UlH)
"-11,9.0,0.0,*TT(KL+1 ),tr(Xl+Z) )
cAtt ÀxIS(0.0,0.0,'cÀv. ÀccEL. (oen),,15,4.0,90.0,*D2R(¡1¡+1 ),02n(Xl+2 ) )cÀtt tINE(tr,p2n,KL,1 ,-1 ,3)
383
c cÀLt syMBoL(0.5,3.5,0 ,21 ,' TEST12' ,0.0,6)c cÀLL syMBOL(0.5,3.1,0.14,', PRESSURE: 1250 KpÀ"0.0,19)cÀtL PLor(0.0,4"0,3)cÀrr PtoT(8.0, 4,0 ,2\cÀtL PtoT(8.0,0.0,2)cAtL Plor( 0. 0, 0. 0,-999)cÀtt PLor(0.0, 0. 0,999)
c100 FoRMÀT fiH1 ,///,5x, ,oyo pREssuREMETER cREEp resr' )1 01 FORMÀT( t t ,4X, I ============================l )102 îoilttL,t(///,5x, 'TEST NLTMBER = , ,I2/1H ,4X,
*'TEST pRESSURE = 'rF6.1r' KpA',*/5x, 'RG(Kp¡) = 'rF5.2r' + 'rF5.2r, LN(RN)',*/5X,t'5(gy**l) =',F5.3r' +'rF7.Sr' *RN'r/aX,*'PRESSUREMETER SySTEM NO. = ',I1,/5N,,*tx = rrF7.5rr *RN rrr + trF7.5)
150 FoRMÀT (//,5x, 'MEMBRÀNE THIcKNESs CoRRECTIo¡¡=' ,F6.4,' + ' ,F6.4,*'*tN(f ) ¡'On ¡=',I2)'103 FoRÌ'ÍÀT(1H1 ,5X, 'TEST DATÀ')104 FORMÀT(t t r5Xrt=========r )105 FORMÀT (///,T3,'pr.
"T11,'TIME"T21,'RN"T31,'PRESS. "*T41,' TEMP1
"T51,'TEMPz"T61,' TEMP3"'1'7 1,'TEMP4' )
106 FoRMÀT(' ' ,T10,'(MIN. )' ,T20,'(lOl)' ,T31,'(KpÀ)' ,!42,*' (c)
"r52,' (c)
",!62,' (c)
",!72,' (c)' )
114 FoRMÀr(///)107 FoRMÀT( ",T3,I4,T9,î7 .1,'!20 ìF6.3,T31,F6. 1,T41 tPs,2,
*T51,F5. 2,T51,F5 .2,T7'1,F5. 2 )108 FORMÀT(', 1"///,5X,'TEST RESUITS' )109 FORMÀT( t t
r4Xr r============r)
110 FORMÀT (///,T3,'pr.' ,T11,'TIME' ,T21,'RO' ,T31, 'CAVITy"*T41 I'TEMP1''T51 ''TEMP2' ,T61,'TEMP3' ,T71,'TEMP4' ,T81,'PG' )
111 FoRMÀT( '',T10,' (MIN)
"T20,' (Ì,î{)
"T31,'PRESS"142,*'(c)"T52,' (C)
"T62,' (C)
"T72,' (C)')
112 FoRMÀT(' ' ,T31,'(MPÀ)')11s FoRMÀr(///)113 FoRMÀT( " ,T3,I4,T9 ,F7 .1 ,T20 tF6.3,T31 ,F6 ,4 Ã41 ,
cccccccc
c
*F5.2,T51,î5,2,151,F5 .2,î'11,F5. 2,191,F7.5)STOPEND
FiTTING EXPERI}.IENTÀt DÀTÀ ÀND FINDING DERIVÀTIVESSUBRoUTINE RDR(L,T,R,TT1,DDR,ÀtpHÀ,D2R,TT,KL)DtMENST0N T(t),n(l),OOn(600),ÀLPHA(600 ),ROR(500),* D2R(600),TT(600),Ren(600)N--_NI]MBER OF POINTS FOR FITTING ONE SEGMENT OF CURVE
N MUST BE AN ODD INTERGERRRR---VÀIUES ON CI'RVEDDR---SIOP OF CURVEÀLPHA---Dn(r)/n(r)OTHER ÀRGM{ENTS EXPLÀINED IN SUBROUTINE DRIVCHÀNGE UKM'' TO CORRESPOND TO MÀX NO. OF SEGMENTSTT2=5680.0Kl'l=LN=9N1=31
384
ccc
N1=41N1=2'1
41 D0 22 KK=1,KMrF(KK.cr.1) co ro go
SET ''KU TO INiTIAI STÀRTING POINTK=1G0 T0 35
6O CONTINUEIF(T(K).LE.TT1) GO TO 38rF(T(K).Cn.rr2) co ro 38G0 T0 50
FOIIOWING ROUTiNE CÀtCULATES RÀTE FOR SHORT SEGMENTSNB: THE FOLTOWING EXPRESSION IS USED TO INCREMENT THE SEGS.
K=K+N T.IHERE N IS THE INCREMENT38 K=K+336 rF(K.cE. (r-N)) CO TO 22
CHANGE 'M' TO CORRESPOND TO POLYNOMIÀL DEGREE35 M=3
cÀtt DRIV( N,M, K, L, T, R, RRR, DI R, D2DR, ÀLpHÀ 1, TTT, RI R )G0 T0 51
FOtIOWING ROUTINE CÀLCULÀTES RÀTE FOR LONG SEGMENTS50 K=K+30
rF(K.cE. (r-N1) ) CO TO 22M=3cÀtt DRIVL ( N'1, M, K, L, T, R, RRR, DI R, D2DR, ÀLpHÀ 1, TTT, RI R )51 KL=KKTT(KK)=TTTROR(KK)=RRRRER(KK)=RIRDDR(KK)=DIRD2R(KK)=D2onÀLPHA ( KK ) =ÀLPHÀ 1
22 CONTiNUEr{RITE(5,104)
104 FoRMÀT(1H'1, ///,5X, 'VÀLUES ÀT MIDPOINTS OF SEGMENTS')27 Ì{RITE(6,102)102 FOW;¡T ( / / /, 5X, ' KK' , 6X, ' T' , 12X,'R' , 1 2X, ' RR' ,* 15x,'DR' ¡17Nt 'D2R' ,17N,, 'ÀLPHA')
DO 24 KK=1,KLI{RI TE ( 6, 1 00 ) nX, rr ( XK ), RER ( ttn ), ROR ( KK ), OOn ( nn ), o2R ( xn ),* ÀLPHÀ(KK)
100 FoRMÀT(3X,I3,3X,Fg .1,7X,F6.3,7X,F6.3,9X,F12.9,9X,î12.9,* 8x ,F12,9)24 CONTINUE
RETURNEND
FOtIOWING SUBROUTINE IS USED TO FIND VÀLUES ÀND DRIVÀTIVESOF ONE SEGI-IENT OF CURVEsuBRouTi NE DRI V ( N, M, K, L, T, R, RRR, DI R, D2DR, ÀLpHÀ 1, TTT, RI R )
CHÀNGE THE DIMENSION STÀTEMENT TO CORRESPOND TO ''N1''DIl.rENSr 0N X ( 7 ) , y ( 7 ) , À ( 3 ) , T ( t ) , R ( L ) , RR ( 7 ) , DR ( 7 ) ,* D2R(7),CC(3,4),F(7,3),enn(7)DTMENST0N X(11 ),y( 11 ),À(3),r(r,),R(t),RR(11 ),OR(.11 ),
ccc
cccc
385c * D2R(11),CC(3,4),F(1'1,3),ERR(11)
DiMENsi0N x(9),y(9) ,À(3) ,t(r) ,n(r,) ,nn(9) ,oR(9) ,* DzR(g),CC(3,4),F(9,3),ERR(g)C N-_--NT'MBER OF POINTS USED FOR FITTING ONE SEGMENT CURVEC X(¡¡)___EXpERIMENTÀL POINTS r r I I I r I I I I r r I I I I I I r I I I I I I I r I
C Y(H)---nxpERIMENTÀL vÀLUEs oH x(H)C M-1---POWER OF CURVE FITTEDc À(u)---usnD To sroRE coEFS oF poryNourÀLc cc(u,¡l)---woRKINc UNITC t--_TOTÀL NUMBER OF EXPERIUENTÀL POINTSc T(¡l)---wHoLE ExpERIMENTÀr poINTsC R(H)___rrrrrrrrrrrrrrrrtr VÀLUESC Rn(H)---v¡LUES FRoM cURVEC Dn(H)---nnIvÀTIVES FRoM cURvEc K---ORDERTH OF F¡RST POINT or x(H) TH r(r)
D0 104 I=1,NX(i)=0.0
104 Y(l)=0.0D0 10S I=1,3À(l )=0.0D0 106 J=1,4'105 cc(I,J)=0.0
105 CONTINUED0 100 I=1,NJ=K+I - 1
x(t)=t(,:)100 y(i)=n(,:)
¡4q=!,1+1
cÀLL PotY (N,X, YrM,A,MM, CC rF, K)D0 101 I=1,NRR(I )=0.0DR(t )=0.0DzR(I)=0.0D0 102 J=1,M
102 RR(r )=RR(I )+¡(,:)*(x(r )**(J-'1 ))D0 103 JJ--2 ,t4103 DR(r )=oR(¡ )+¡(,¡,:)*(x(l )**(JJ-2))*rloer(JJ-1 )D0 108 JJJ=3,M
1 08 DzR( I ) =D2R ( I ) +¡ (,:,:¡ ) * (x ( I ) n* (JJ¡-3 ) ) * (¡;J-l ) * (.:.1,:-z )1 O1 CONTINUE
t{RrrE(5,203)203 FORMÀT (//,11X,'pr ,' ,7x,'TIME' ,2X, 'EXPT. RAD.' ,1X,* 'cÀLc. RÀD.
"gx,'DR' ,14X, 'D2R' ,14X, 'ERR')
ÀBERR=0.0DO 202 I=1,NJ=K+I - 1
ERR( r )=(n(¡)-nn(l ) )/(n(;)-38.0 )ÀBERR=ÀBEnR+ (n(¡ )-nn( I ) ) **Z¡{RrrE(6,200) l,x(i ),y(r ),RR(r ),oR(l ),02n(¡ ),nRn(l )200 FoRMÀT(10X,i3,5x tl7 .1,5x,F6.3,5x,F6.3,5x,F12.9,.* 5x, F12.9,5x,F1 2.9)
202 CONTINUELL='l+ ß-1l'/zRRR=O.0
386
cc
cccc
ccccc
cccc
ccc
ÀLPHÀ1 =0.0DI R=0. 0
D2DR=0.0TTT=0.0RI R=0. 0
l{RITE (6,.2.01) lL,X(rl) ,y(Lt) ,RR(LL) ,pn(li,) ,D2R(LL)201 FORMÀT(//,10X,I3,5X,F7.1,5X,F6.3,5X,F6.3,åX,F12.9,* 5x ,F12.g',)
I,tRrrE (6,205) ¡snRn205 FORMÀT(//,10X,'SUM OF SQUÀRED RESIDUÀLS = ' ,F12.9)
TTT=X ( tL )
RRR=RR ( LL )DI R=DR ( tt )
D2DR=D2R ( tL )
ÀrPHA1 =On (ll)/nR (tt )
RIR=Y(LL)RETURNEND
LEÀST SQUÀRES CURVE-FITTING PROGRÀM
SUBRoUTINE poLy (N,X, y,M, C,MM, À, F, KK )DIMENSI0N X(N) ,y(N) ,F(N,M) ,À(M,Ifi) ,C(M)
GENERATE THE F MÀTRIX. MODIFY THE S?ÀTEMENTS ÀSREQUiRED FoR DIFFERENT NoS. 0F FUNCTIoNS
D0 2 I=1rNF(I,1)=1 .oFfi,2)=x(i )
F(I,3)=x(r )*x(l )2 CONTINUE
GENERÀTE THE tOT.JER TRIÀNGUtÀR ETEMENTS OF THECOEFFICIENT MÀTRIX ÀND ÀSSiGN VÀtUES TO THE SYMMETRICELEMENTS ÀBOVE THE MÀIN DIAGONAL.
D0 4 I=1rMD0 4 J=1,IÀ(I,J)=0.0D0 3 K=1,N
3 À(1,,:)=À(I,,:)+n(x,I)*F(¡t,,1)À(J,I)=¡(t,.1)
4 CONTINUE
GENERÀTE THE ELEMENTS OF THE COt[ffN MÀTRIX TOTHE RIGHT OF THE EQUÀL SIGN IN THE ÀLGORITHM
D0 5 I='1 ,MÀ(t,tt+1)=0.0D0 5 K=1,N
5 À(I,M+1)=¡(l,M+'1)+F(K,l)*y(¡t)
DETERMINE THE C VÀLUES OF Y(X) ¡Y SOi,VING THESIMUtTÀNEoUS EQUÀTIoNS WITH CHoIESKy'S !,ÍETHOD
387
cc
ÌdP 1 =M+.1cÀtl CHLSKY(À,M,MP1,C )
cC WRITE OUT C VÀLUES.c
TIRITE(6,6) ttn ', 6 FoRMÀT(//,5x,'c(1) THRoucH c(M) FoR ¡1=',r3)ÞIRITE(6,7',) (l,C(t), I=1 ,Þt)7 FoRMÀT( " r3X,'C(
"I1 r')="814.7)
RETURNEND
SUBRoUTINE CHLSKY (À,N,M,X)DIMENSI0N À(N,M),X(N)
C CÀLCULÀTE FIRST ROW OF UPPER TJNIT TRIÀNGULÀR MATRIXD0 3 J=2rM
3 À(1,J)=À(1,¡)/x(t,1)C CÀICUIÀTE OTHER ELEMENTS OF U ÀND L MÀTRICES
D0 I I=2,Nr.,l - L
' D0 5 II=J,NSLIM=O.0JM'l=J-1D0 4 K=1,JM1
4 SIJM=SI.JM+À(II,K)*À(K,J)5 À(li,J)=À(II,J)-SLJÌ'J
¡p.l=l+1D0 7 JJ=IPI ,MSUM=0. 0
IM1=I-1D0 6 K='1,IM1
6 suM=stJM+À(i,K)*À(X,,:,:)7 A(l,JJ)=(¡(r,JJ)-suu)/À(l,r)8 CONTINUE
C SOLVE FOR X(I ) BY BÀCK SUBSTITUTIONx(N)=À(H,¡t+1)L=N-1D0 10 NN=1,LSLIM=0. 0I =N-NNJ p.l =l +.1
D0 9 J=IP1,N9 StJM=Suu+À(I,J)*x(J)
x(l )=¡(l,t't)-suu1 O CONTINUE
RETURNEND
cC FOTLOWING SUBROUTiNE IS USED TO FIND VÀtUES ÀND DRIVÀTIVESC OF ONE SEGI'IENT OF CURVE
suBR0uTI NE DRI Vt ( N, Þ1, K, L, T, R, RRR, DI R, D2DR, ÀLpHÀ1, TTT, RI R )C CHÀNGE THE DIMENSION STÀTEMENT TO CORRESPOND TO ''N1''c Dil-tENSI0N X(21') ,yQ1) ,A(3),T(t),R(t),RR(21),DR ,21) ,
388
c * D2R(21 ),CC(3,4),F(21,3),ERR(21 )
DII'{ENSroN X(41 ),y(41 ),¡(3),r(r,),n(r),RR(41 ),DR (41),* o2R ( 4 1 ) , CC ( 3 , 4 ) , F ( 41 , 3 ) , ERR ( 4 1 )c DrMENsr0N x(31),y(31 ),A(3),r(r) ,n(l),RR(31 ) ,DR(31),c * DzR(31),CC(3,4),F(31,3),ERR(31)C N----NIJI'IBER OF POiNTS USED FOR FTTTING ONE SEGMENT CURVEc x(¡¡)___nxpERIMENTAt POINTS rr I r rr r r rr r rrr I I r rr I r r r I I I I r
c y(H)---sxpERrMENTÀr vÀruEs o¡¡ x(H)C M-1---POT.¡ER OF CURVE FITTEDC A(T'I)---USED TO STORE COEFS OF POLYNOMIÀLc cc(u,lr)---woRKrNG L¡NITC L---TOTAI NTTMBER OF EXPERIMENTAL POINTSc r(H)---r+uorn ExpERiMENTÀL porNTSc R(H)___rrrrrrrrrrrrrrrttr VÀLUESC Rn(H)---v¡tUES FRoM cURvEC Dn(H)---pnIVATIvES FRoM cURVEc K---oRDERTH 0F FrRsr porNT or x(¡¡) n¡ r(l)
D0 104 I=1,Nx(t )=0.0
104 y(l)=0.0D0 105 I=1,3. À(I)=0.0D0 105 J=1,4
106 cc(I,J)=0.0105 CONTINUE
D0 100 I=1,NJ=K+I -'lx(l )=r(¡)
100 y(l )=n(.:)MM-M+1cÀI,L PoLYL(N,x,Y,]t!,À,MM, cc,F, K )
D0 10'1 I=1,NRR(I )=0.0Dn(t )=0.0D2R(I )=0.0D0 102 J='1 ,M102 RR(r )=RR(i )+¡(J)o(x(l )**(J-1))D0 103 JJ=2,M
103 ¡n(t )=DR(I )+¡(,:¡)n(x(I )**(JJ-2) )*rlo¡t(,:,:-l )D0 108 JJJ=3,M
1 08 D2R ( i ) =D2R ( i ) +¡ (,:.1; ) * (x( I ) *o (.:,:,¡-3 ) ) * (,:¡,:-l ) * (,:.¡.:-z )101 CONTINUEI{Rr rE ( 6, 203 )
203 FoRMÀT (//,1 1x, ' pr ,, ,lx,'TIME, ,Zx, 'Expr" RAD.' ,1x,* 'cÀtc. RÀ0.
"9X,'DR' ,14X,, 'D2R' ,14N, 'ERR')
ÀBERR=0.0D0 202 I=1,NJ=K+I-1ERR( r )=(R(J)-RR( r ) )/(n(J)-38. 0 )ÀBERR=ÀBEnn+ ( R( J ) -RR( ¡ ) ) **2I{RITE(6,200) t,X(r ),y(I ),RR(l ),¡n(l ),02R(l ),eRn(l )200 FoRMÀT(10X,I3,5X,F7,1r5X,F6.3,5X,F5,3,5X,F12.9,* 5x,F12,9r5x,F12.9)
202 CONTINUE
389
cc
cccc
ccccc
cccc
LL=1+ (N-1') /zRRR=0. 0ÀLPHÀ1 =0.0DIR=0.0D2DR=0. 0
TTT=0. 0
RIR=0.0_ lrRr rE ( 6 ,.2.01 ) rL, x ( LL ) , y ( ll ) , RR (LL ) , DR (Lr ) , DzR (LL )201 IoRMÀT(/1,10X,I3,5X,F7.1,5X,r0.¡,5i,16.3,åx,î12.g,* 5x ,F12.9')
r.rRrrE(6,205) ¡snRn205 FORMÀT(//,10X,'SuM OF SQUÀRED RESIDUÀLS = ' ,î12.g)
T?T=x ( tt )
RRR=RR (tt)DI R=DR ( LL )
D2PR=D2R ( LL )
ÀLPHÀ 1 =DR (LL ),/NN ( rI )
RIR=Y(tL)RETURNEND
tEÀsT SQUARES CURVE-FITTING pRocRAM
SUBROUTINE potyt(N,x,y,M, c,l"tM,À,F,KK)DIMENSI0N X(N) ,y(H) ,r(H,M) ,À(U,¡Ol) ,C(M)
GENERATE lHE F MÀTRIX. MODIFY THE SÎÀTEMENTS ÀSREQUIRED FOR DIFFERENT NOS. OF FUNCTIONS
D0 2 I='1,NF(i,1)=1.0F(I,2)=x(l)F(I,3)=x(t)*x(I)
2 CONTiNUE
GENERÀTE THE LOWER TRIÀNGULÀR ETEMENTS OF THECOEFFICIENT MÀTRIX ÀND ÀSSIGN VÀLUES TO THE SYMMETRiCETEMEN?S ÀBOVE THE MÀIN DIÀGONÀL.
D0 4 I=1,MD0 4 J=1,IÀ(I,J)=0.0D0 3 K=1,N
3 À(1,.1)=A(I,J)+r(x,I)*F(x,¡)À(J,I)=¡(l,J)
4 CONTINUE
GENERÀTE THE ETEMENTS OF THE COIU,TN MÀTRIX TOTHE RIGHT OF THE EQUÀL SIGN IN THE ÀLGORITHM
D0 5 I=1,MÀ(I,M+1)=0.0D0 5 K=1,N
5 A(I,M+1 )=À(I,M+'l )+r(x, t )*v(x)c
390
cc
c DETERMTNE THE c vÀLUEs 0F y(¡i) sy soLvINc rHEc SIMULTÀNEoUS EQUÀTIONS WITH CHOLESKY'S METHOD¡4P'l =!.1+ 1
cÀtL CHLSKL(À,M,MP1,C )c.C WRITE OUT C VÀLUES.c
I,rRrrE(6,6) KK6 FORMÀT(// tsx,'C(1) THROUGH C(M) FOR K="I3)
l{RITE(6,7) (i,C(t), I=1,M)7 FoRMAT( " r3x,'C(
"I 1 r')="E14.7)
RETURNEND
SUBRoUTINE CHLSKT(À,N,M,X)DIMENSI0N À(N,M) ,X(N)
C CÀLCULÀTE FIRST ROW OF UPPER UNIT TRIÀNGUtAR MÀTRIXD0 3 J=2,M
3 À(1,J)=À('1 , ¿)h(j,1)C CÀLCUIÀTE OTHER ETEMENTS OF U ÀND t MÀTRICES
D0 I I=2,NJ=ID0 5 II=J,NSUM=0.0JMl =J-1D0 4 K='l ,JM1
4 SI,]M=SUM+À(II,K)*À(K,J)5 À(ti,J)=¡(lI,J)-SIJM
¡p.l=l+1D0 7 JJ=Ip1,MSUM=0.0IM1=I-1D0 6 K=1,IM'l
6 SUM=SUu+A (I , K )*À (n,,:,: )
7 A(l,JJ)=(¡(r,JJ)-suM)/À(l,l)8 CONTINUE
C SOLVE FOR X(I) BY BÀCK SUBSTITUTIONX(N)=¡(H,N+.1)L=N-'1D0 10 NN='1 ,LSUM=0.0I =N-NN1p.l =l + 1
D0 9 J=Ip1,N9 sul't=sul.r+À(I,J)*x(J)x(l )=¡(t,u)-suq
1 O CONTINUERETURNEND
391
TISTING OF PROGRÀM tÀDFOS1
c//x¡xw¡N JoB',,I=50,F=31','LÀDFos1 TEST#2'c// exec FoRrTcLGc//tonr.sYsIN DD *cc****************************t**********************************cC PROGRÀM: LADFOS1- STRAIN-HÀRDENING, POI¡ER tÀW CREEP MODELcC THIS PROGRÀM REÀDS TN ÀND EVÀLUÀTES DÀTÀ TO BE REÀD TOC PROGRÀM LÀDPL FOR PROCESSINGcC DOUBLE PREC]SION REÀL NUMBERS ÀRE USED THROUGHOUTccc REVISED JAN.22/86: CREEF STRÀINS ÀRE NOr{ CÀLCULÀTED FROM À
C REFERENCE TIME OF 1 MINUTE ; INSTÀNTÀNEOUS STRÀINS ÀRE iGNOREDC IN THIS ÀNÀLYSISccc*** *** * * ** * * ***** * ****** *** ********** * *** ************* ** *******C VÀRIÀBLES USED ÀRE:C NS = N0. 0F STÀGES IN THE TESTC STS = DESIRED STÀRTING STÀGEC NP = N0. 0F DÀTÀ POINTS IN EÀCH STÀGEC STP = THE ÀSSUMED STÀRTING POINT 0F CREEP STRÀINC MT1,MT2,MR1,MR2 = PRESSUREMETER CÀLIBRÀTI0N CONSTÀNTSC MT1 ,l'ÍT2 IN: PG=MT1+MT2*LN(T)C MR1,MR2 IN: RG=MR1+MR2*LN(RN)C T = TIME IN EÀCH STAGEC RN = REÀDING FROM ETECTRONIC BOXC PÀ = ÀPPLIED PRESSUREC PI,PIÀVG = ÀVERAGE CORRECTED INTERNÀt PRESSIIREC RG = MEMBRÀNE RESISTÀNCE IN ÀIRC PG = MEMBRÀNE THICKNESS CORRECTION (}'fM)
C PC = CORRECTED PRESSURE OR NET PRESSURE ON THE SOILC PSU'r = CURRENT SUMMÀTION 0F PC FOR PIÀvc CÀLCUtÀTIONC i,J,K,L,COUNT = COUNTERS FOR EÀCH L00PC TITLE = TITLE 0F THE TEST 0F UP T0 80 CHARÀCTERSC tNR = VÀIUE OF tN(R/R(I))C TOGLNR = LOG (T,HN )
C ÀOPI = CROSS SECTIONAL ÀREA OF THE MEMBRÀNE OVER P]C***************************************************:t*********t(*cc T0 RIJN SINGLE STÀGE TESTS, CHÀNGE ÀRRAY DIMENSIoNS T0 (1,700)c
REÀL*8 T('1 ,700 ) ,RH('1 ,700) ,p¡(10) ,STR('t ,700) ,RO(1 ,70.0)REÀL*8 RÀTE( 1,700),lNn( 1,700),¡tt'l ( 10),tfr2( 10),pR( 1,700)
392
REÀL*8 RG, pI ( 1, 700 ),psuM,pIÀvG,DELTÀR,TSTÀRT,RSTÀRT,ÀOpIREÀL*8 MR1 ,UR2,LOGT,LOGLNR,PG, PGFST,PGREST,RI ,DT( 1 ,7OO)REÀL*8 Xl ,N2,A1 ,A2,X,RSREÀL*8 TEMPl ('1,700),tnup2( 1,700),lgup3( 1,700),rg¡tp4( 1,700)I NTEGER NS , NP ,7 , J , K , L , COUNT , STP , STS
. C CHÀRÀCTER*8O TITLECHÀRÀCTER TITLEl *8, TITLE2*80
C***************************************************f***********C TO REÀD IN NO. OF STÀGES, DESIRED STÀRTING STÀGE, NO. OF DÀTÀC POINTS IN EACH STÀGE, PRESSUREMETER CÀLIBRATION CONSTÀNTS ÀNDC RN VALUES FROM THE TEST.c***************************************************************C REÀD ' (À)' ,TITLE
REÀD '(À8) "TITLElREÀD ' (À)' ,TITLE2
PRINT'(1X,À)"TITLE2PRINT*,'IREÀD*,NS,STSPRINT' (1x,À,I4)','NUMBER oF PRESSURE INCREME¡¡1'5 =',NSPRTNT' ('IX,À,I2)
"'DESIRED STARTING STÀGE ="STS
REÀD* ,NP,STPPRINT '(.1X,À,I3)','NUMBER oF DÀTÀ PoINTs IN EÀcH STÀGE =',NPPRINT '(1x,A,rz) ','ÀssuMED STÀRTING poINT oF cREEp srRÀIN =',srpPRINT* ,' I
D0 150 K=1,NSREÀD* ,MT1 (K ) ,MT2 (K )
PRINT' ( 1x,À,F6. 4,À, F6. 4,À )',' THI cKNEss coRREcrIoN coNsrÀNTS ÀRE:+MT1 =' ,Ifl|1 (K),' ÀND MT2 =, ,vfl2(K),' IN pG=MT1+MT2*LN(T)'
1 5O CONTINUEPRINT* ,' I
REÀD* ,Nl ,N2PRINT '(1X,À,F6.4,A,î6.4,À)"'CONSTÀNTS FOR X VS RN ÀRE:
+X1 =',X'1,' ÀND X2 =' ,X2,, IN X =X2+X1*RN (MM)'PRINT* ,' I
REÀD* ,A1,AzpRINT '(1X,A,F6.4,À,F7.5,À)
"'CONSTÀNTS
FOR e/et ann:+À'1 =' ,À1¡' ÀND À2 =, ,A2,, IN À/pI=À1+À2*RN (CU2)'PRINT*,'IREAD* ,!m1 ,MR2PRINT' (1X,À,F7.5,A,F7.5,À)
"'}ßMBRÀNE REÀCTION CONSTÀNTS ÀRE:
+!lR'l =' ,MR1 ,' ÀND MR2 =' ,MR2,' IN RG=MR1+MR2*LN(RX)'PRINT*,'IREÀD* , (P¡(I ),I=1,NS)PRINT* ,'ÀppLIED PRESSURE IN EACH STÀGE IN MpÀ :rPRINT '(5X,F7.3)' , (PA(l ),t=1,NS)PRiNr '(//)'
cC DÀTA iS REÀD IN FROM DÀTÀSET KJARTÀN.IÀD.DÀTAN WHERE 'N'C I S THE TEST NIJMBERc
D0 130 K=1,NSD0 140 L=1,NpREÀD ( 0'1, * ) T ( K, L I, RN ( K, L), pR ( K, I, ), TEMP j (x,l ), TEMP2 ( K, L ),
*TEMP3 (X , t ) , TEMP4 (X, ¡, )
393
C USE FOLLOWING STÀTEMENTS TO MODIFY T]MES FOR TEST#10c rF (K.EQ.2c rF (K.EQ.3c rF (K.EQ.4c rF (K.EQ.5
T(K,L)=r(x,L)-1440.0T(K,L)=r(n,L)-2880.0T (K , L ) =t (x ,L) -4320 .0T(K,L)=t(n,L)-5760.0
C USE THE FOLLOWING STÀTEMENTS TO CÀLCUIATE TiMES FOR TEST#'11c IF (K.EQ.2) T(K,L)=r(n,L)-120.0c IF (K.EQ.3) T(K,L)=T(n,L)-240.0c iF (K.EQ.4) T(K,L)=r(n,t)-350.0c rr (n.EQ.5) T(K,L)=T(n,L)-480.0140 CONTINUE'130 CONTINUE
C****tr**********************************************************C CÀLCUIATE ÀLL THE VÀLUES FOR EÀCH STÀGE ÀND PRINTc***************************************************************
D0 120 K=STS,NScC CÀtCULÀTE RO ÀT POINT STP ÀND ÀSSIGN T AT POINT STPc
X=Xt*RN(n,Sfp)+X2Rr=2.0*X + 6.o*DSQRT(1.0-($/25.0)**2)) + 16.0. pc=(MT1(x)+urz(¡t)*nloc(r(n,srp)))/10.0RS=RI/1 O. O-PGÀoPI =À 1 +À2*RN (lt , Stp )
RSTÀRT=DSQRT ( RS**2+ÀOPI ) * I O. O
TSTÀRT=T ( N, STP )PSUM=0. 0
COUNT = 0
lrRrrE(6,200)2OO FORMÀT( 1H1 )
pRINT ' (1X,À,I3,A,F7.2,A,A,F6.3,À,À,F4.'1 ,À)' ,' STAGE NO.' ,K,+ ' ; ÀPPLiED PRESSURE ="PÀ(K),' MPÀ' ,', ; RSTÀRT ="flSTÀRT,* 'MM' ,' ; TSTÀRT=' ,TSTÀRT,'MIN'PRINT*,'IPRINT* ,, TIME RN RG PI PG RO STRÀIN"
+' STRÀTE LNR'pRrNT*,' (UlH) (mq) (up¡) (MpÀ) (mq) (m¡) (%)
"+' &/wn)'PRINT*,'I
cC CÀICUIÀTE RO ÀND LNR FOR THE POINTS IN THE STÀGEc
D0 '100 L=1,NPrF (nH(x,r) .EQ.0.0) coTc 100CgUNT=ggg¡¡1 +.1RG=MR'I +MR2*DLOG ( RH ( N, I ) )PI (K, L )=PR (X,1, ) /tOoO. 0-RGPSIJM=PSI,JM+PI (K, L )
X=X1*RN(n,l)+X2Rr=2.0*x + 6.g*DSQRT(1.0-(ß/25.0)**2)) + 15.0pc= (MT1 ( x ) +r,{T2 ( x ) *oloc ( r ( n, L\ ) I /1 0 . 0RS=Rr/1 0.0-PcÀoPi=À1+À2*RN(X,l)R0 ( K, t ) =DSQRT ( Rs**2+¡oPI ) * 1 0. 0
394
DELTÀR=RO (X ,I, ) -RSTARTc srR(K,l)=(onr,r¡n/no(K,1) )*100.0srR ( K, L ) = (Dnlren/nsrent ) * 1 00 . 0rF (r .EQ.1) THEN
RÀTE(K,L)=0.0ELSE
RÀTE ( ¡t, t ) = ( srR ( n, I ) -srR( K, L-1 ) ) / ß( n, i, ) -T ( K, L- 1 ) )
END IFc tt¡R(x,L)=DLOG(1.o+pei,rnn/no(x,l ) )
l¡¡n ( n, L ) =DLOG ( 1 . 0+oei,ran/nStenr )
Dt (x , ¡, ) =t (x , couNT ) -tsrenrpRINT' (1X,F7.1,6F7.3,2811.3)
" nt(K,L),Rt¡(K,L),RG,
+ pI(n,l),pG,Ro(x,l),srR(K,L),RÀTE(K,L),lNR(n,l)1 OO CONTINUE
PI AVG=PSUM/COUNTPRINT* ,, t
PRINT '(1X,A,F5.2,A)', ,', ÀVERÀGE PRESSURE ON SOIL ="pIÀVG,+ ' MPÀ'D0110L=STP,COUNT
rF ((pr(x,l) .rE. 0.0) .oR. (lNn(n,i,) .rE. 0.0)) coro 110LOGT = DLOG1 O (DT(K,L) )
LOGLNR = DLOG1O(LNR(K,L) )
c llRITE(4,*) DT(K,L),LoGT,pI (K,l),p¡¡vG,srR(K,L),n¡rg(K,L),C + LNR(K,L),LOGLNRC USE THIS WRITE STÀTEI'IENT TO CREÀTE PRD DATÀSETS
WRI TE ( 4 , * ) TI TLE 1 , DT (K, L ) , PI ÀVG , STR (K , L ) , RÀTE ( K , L )
1 1 O CONTINUE120 CONTINUE
STOPEND
c/*c//co.FTo1F001 DD DSN=KJÀRTÀN.LÀD.DÀTÀ2,Drsp=oLDc//co.FT04F00 1 DD DSN=KJÀRTÀN.pRD.DÀTÀ2,DISp=oLDc//co.sYsIN DD *
395
LiSTING OF PROGRÀM LÀDPL
c//rcnmm JoB',,T=30,I=30,F=31','LÀDpLor rEsr13'C/*U¡TL PLEÀSE DO NOT STÀPLEc// ExEc sÀsplorcr/sesoltl oo DSN=KJÀRTÀN.sls.DÀTÀ13,DISp=sHRc//sYsrv DD ** * ** * * :k * ** * * * *** * * * ** * ** * * * * * * ** * * ** rt * * * * * * * * * * * * * * * * * * * * * * * * * * ** PROGRÀM: LÀDPL* INPUT THE DÀTÀSET (S¡S.LÀD) CREÀTED IN LÀDFOS'I
'r PROCESS THE DÀTÀ USING THE STRÀIN-HÀRDENING, POWER LAFI* CREEP THEORY ÀND PIOT THE DÀTÀ** VÀRIÀBtES USED ÀRE:* TIME = TIME DIFFERENCE OR DT(I)* LNR = LN(R(I )-R(r ) )*- PI = PRESSURE ON THE SÀMPLE ÀT TIME T (DURING THE TEST)* PRESSURE = ÀVERÀGE PRESSURE 0N THE SÀMptE* STRÀIN = CIRCUMFERENTIÀt STRÀIN IN e"
* RÀTE = STRÀIN RÀTE IN 9",/MIN* rN REGRESSToN: roc(rN(n/n(r-1)) vs roc(uue)* LOGLNR = LOG(r,H(N,/N(I-1))* LOGTIME = LOG(TiUN)* BstOPE = sLOPE 0F THE REGRESSION LINE ÀT EACH pREssuRE* LEVEL* FVÀLUE = INTERCEPT ÀT Y-ÀXIS ÀT EÀCH PRESSURE LEVEL* IN REGRESSTON: LOG(FVÀtUE) VS IOG(PRESSURE)* LOGP = LOG(FVÀLUE)* LOGPi = tOG(PI )* NSLOPE = SLOPE 0F THE REGRESSION tINE* F1 = INTERCEPT AT PRESSURE='I .0 MpÀ**************************************************:t************ .
GOPTIONS DEVICE=XEROX ROTÀTE HSIZE=10.75 VSIZE=8.25COLORS= ( ¡r,¡CIt, RED, BLUE, GREEN ) ;
DÀTÀ ÀLL;INFILE SÀSDÀTÀ;INPUT TIME LOGTIME PI PRESSURE STRÀIN RÀTE LNR LOGLNR;IF PRESSURE tE 1.51 THEN DELETE;IF TIME LE 9O.O THEN DEIETE;PROC PRINT;
TITTE IDÀTÀ SET SÀS.DÀTÀ CREÀTED BY IADFOS1 PROGRÀM';RIJN ;PROC REG OUTEST=EST;MODEt tOGtNR = LOGTIME;BY PRESSURE;
TITTE 'ESTIMÀTES FRO}T IINEÀR REG. ÀNÀt. OF tOGtNR VS LOGTII,IE';RUN ìDÀTÀ FDÀTÀ;
SET EST;
396
FVÀtUE = 1O.O T* INTERCEP;BSLOPE = LOGTIME;RENÀME INTERCEP = LOGF;tOGPi = LOGlO(PRESSURE) ;
PROC PRINT DATÀ=FDÀTÀ;TITLE 'SIJMMÀRY OF CREEP PÀRÀMETERS B AND F';
RUN ìPROC REG DÀTA=FDÀTÀ OUTEST=EST2;MODEL LOGF = tOGPI;
TiTtE IESTIMÀTES FROM LINEÀR REG. ÀNÀL. OF IOGF VS LOGPI';RUN tDÀTÀ NDATÀ;
SET EST2;F1 = 10.0 ** INTERCEp;RENÀME tOGPI = NSLOPE;RENÀME INTERCEP = LOGFI;
PROC PRiNT DÀTÀ = NDÀTÀ;TITTE 'SUMMÀRY OF CREEP PÀRÀMETERS F1 ÀND NI.
RUN ;PROC GPLOT DÀTÀ=ALL GOUT=P1;TITLEI iTITLE2 .H=2 .F=DUPLEX PLOT 0F STRAIN vs TIME FoR EÀcH pRESSURE;Ti?LE3 .H=1 .F=SIMPLEX MULTI-STÀGE PRESSUREMETER TEST#'11 ;F00TN0TE'l .H=1 .F=SIMPLEX PRESSURE IN MPÀ;FOOTNOTE2;LABEL STRÀIN= STRÀIN 9"
TIME = TIME, MINUTES;PLOT STRÀIN*TIME=PRESSURE/VREF=50 HREP=1 OOOOO CÀXIS=RED;
SYMBOLl V=1 I=SPLINE C=RED;SYMBOL2 Y=2 I=SPLINE C=RED;SYMBOL3 V=3 I=SPIINE C=REDiSYMBOL4 V=4 I=SPLINE C=RED;SYMBOLS V=5 I=SPLINE C=REDiSYMB0I6 V=6 I=SPLINE C=RED;SYMBOLT V=7 I=SPLINE C=RED;SYMBOLB V=8 I=SPLINE C=RED;SYMBOL9 V=9 I=SPLINE C=RED;SYMBOL10 V=- I=SPLINE C=RED;SYMBOL1 1 V=TRIÀNctE I=SPLINE C=RED;SYMBOI12 V=SQUARE I=SPLINE C=RED;SYMBOI13 V=DIÀl.tOND I=SPIINE C=RED;SYMBOL14 V=+ I=SPLINE C=RED;
PROC GPLOT DATÀ=ÀLL GOUT=P2;LÀBEL TIME= TIME, MINUTES
LNR= LNR;TITtEl ìTITLE2 .H=2 .F=DUPLEX SotUTIoN 0F CREEP PÀRÀMETERS;TITtE3 .H=1 .F=SII'IPLEX MULTI-STAGE PRESSUREMETER TEST#11 ;F00TN0TE1 .H=1 .F=SIMPLEX PRESSURE IN MPÀ;PLOT LNR*TI}.TE=PRESSURE/VÀXIS=O.OO1 O.O1 O. 1O HÀXIS='1
10 100 1000 10000 VREF=0.1 HREF=10000 CÀXrS=REDiSYMBOLI V=1 I=SM99 C=RED;SYMBOt2 V--2 l=SM99 C=RED;SYl.lBOt3 V=3 I=SM99 C=RED;
397
SYMBOL V=4 I=SM99 C=RED;SYMBOIS V=5 I=SM99 C=REÐ;SYMB0I6 V=6 I=SM99 C=REDiSYMBoLT V=7 I=SM99 C=RED;SYMBOIB V=8 I=SM99 C=RED;
. SYMBOI9 V=9 I=SM99 C=RED;SYMBOL10 V=- I=SM99 C=RED;SYMBOt11 V=TRIÀNGLE I=SM99 C=RED;SYMBOLl2 V=SQUÀRE I=SM99 C=RED;SYMBOL13 V=DIAM0ND I=SM99 C=RED;SYMBQL14 V=+ I=SM99 C=RED;
RUN ;PROC GPtOT DÀTÀ=FDÀTÀ GOUT=p3;LÀBEL FVÀLUE=F
PRESSURE=PRESSURE, MPÀ ;TiTtE'1 ìTITtE2 .H=2 .F=DUPLEX SOLUTION OF CREEP pÀRÀMETERS;TITtE3 .H=1 .F=SIMPLEX MULTI-srÀcE pREsSUREMETER TEsr#1'1 ;FOOTNOTEl;FOOTNOTE2;PtOT FVÀLUE*PRESSURE/VÀXiS= O.OOOOl O.OOOl O.OO1 HÀXIS=0.1
1 '10 VREF=O.001 HREF=10 CAXI S=RED;SYMBOL1 V=TRIÀNGLE I=SM99 C=RED;
PROC cPtOT DÀTA=FDÀTÀ GOUT=p4;LÀBEI BSLOPE = B
PRESSURE=PRESSURE, MPÀ ;TiTtEl iTITtE2 .H=2 .F=DUPLEX VÀRIÀTION OF B I.JITH pRESSURE;TITtE3 .H='1 .F=SIMPLEX MULTi-srÀcE PRESSUREMETER TEST#1 1 ;FOOTNOTE'I ;FOOTNOTE2;PtOT BSTOPE*PRESSUNE,/VNCr=2 HREF=1 O CÀXIS=RED;SYMBOII V=SOUÀRE I=NONE C=RED;
DÀTÀ PLOTS;SET P'l P2 P3 P4¡
PROC GREPLÀY DÀTÀ=PIOTS;c// ExEc xpror
398
TISTING OP PROGRÀM PRDPLS
c//wnnteN JoB',,T=30,F=31,I=30','pRDpLs 2.50 MpÀ'C/*U¿It PtEÀSE DO NOT STÀPLEc//,srnet EXEc sÀsplorC//SÀSDÀTÀ DD DSN=KJÀRTAN.PRD.DÀTÀ1 0,DISp=SHRc// DD DSN=KJÀRTÀN.pRD.DÀTÀ1 1,DISp=sHRc/ /. DD DSN=KJÀRTÀ¡ì . pRD . DÀTÀ 1 2 , DI sp=sHRc//. DD DSN=KJÀRTÀN.pRD.DÀTÀ1 3,DISp=SHRC//, DD DSN=KJÀRTÀN. PRD.DÀTÀ2 ,DI SP=SHRC//SYSIN DD ******************:t*********************************************** PROGRAM: PRDPLS - PREDICTION ,MULTIPtE PLOTS***
TÀKES DATÀSETS CREÀTED IN LÀDFOSl ÀND PRDFO1ÀND PTOTS STRÀIN ÀND STRÀIN RÀTE VS TIME OFFROM ÀCTUÀL TEST ÀND PREDICTION
** VÀR]ÀBLES USED ÀRE:* TEST = TITLE OF THE TEST* TIME = TIME IN UINUTES* PRESSURE = PRESSURE iN Ì.tPÀ* STRÀIN = STRÀIN IN %* RÀTE = STRÀIN RATE IN %/UIHUTN***************************************************************
;GOPTIONS DEVICE=XEROX ROTÀTE HSIZE=10.75 VSIZE=8.25
COLORS= ( SL¡CX , RED , BIUE , GREEN ) ;DÀTÀ ÀLL;
INFILE SÀSDÀTÀ;INPUT TEST $ 2-7 TIME PRESSURE STRÀIN RÀTE;IF PRESSURE LE 2.25 THEN DEIETE;IF RÀTE EQ O.O THEN DETETE;PROC PRINT;PROC GPIOT DÀTÀ=ÀLL GOUT=P1;tÀBEL STRÀIN =STRÀIN %
TIME = TIME, MINUTES;TITLEl iTITLE2 .H=2 .F=DUPtEX STRAIN VS TIUE;TITLE3 .H=1 .F=SIMPLEX COMPÀRIsoN oF ÀcruÀL AND PREDICTED cuRVEsFOOTNOTE .H=1 .F=SIMPLEX ÀLL CURVES ÀRE PREDTCTED EXCEPT FoR TEsT
PRDSS2 ìPIOT STRÀIN*TIME = TEST/VREF=50 HREF=9OOOO CAXIS=RED;
SYMBOLl V=+ I=SPLINE C=RED;SYMBOL2 V=TRIANGLE I=SPLINE C=RED;SYMBOI3 V=DIÀMOND I=SPLINE C=RED;SYMBOL4 V=STÀR I=SPLINE C=RED;SYMBOL5 V=PLUS I=SPLINE C=RED;SYMB0t6 V=SQUÀRE I=SPLINE C=REDi
PROC GPIOT DÀTA=ÀLL GOUT=P2;LÀBEI RÀTE = STRÀIN RÀTE %ATIN
399TIME = TIME, MINUTES;
TITtEl ;TITtE2 "H=2 .F=DUPLEX STRÀIN RÀTE VS TIME;TITLE3 .H=1 .F=SIMPLEX COMPÀRISON 0F ÀCTUÀL ÀND PREDICTIONS ÀT P=2.50MPÀ;F00TN0TE .H=1 .F=SIMPLEX ALL CURVES ÀRE PREDICTED EXCEPT FOR TEST.
PRDSS2;PLOT RÀTE*TiME = ?EST/VREF=0.01 HREF=9OOOO CAXIS=REDi
SYMBOLl V=+ I=SPLINE C=RED;SYMBOL2 V=TRIANGLE I=SPLINE C=RED;SYMBOL3 V=DIÀMOND I=SPLINE C=RED;SYMBOL4 V=STÀR I=SPLINE C=RED;SYMBOLS V=PLUS I=SPLINE C=RED;SYMBOLS V=SQUÀRE I=NONE C=REDi
DÀTÀ PLOTS;SET P1 P2;
PROC GREPLÀY DÀTÀ=PLOTS;c//stnpz EXEc xPLOT