using field observations to calibrate constitutive models web page/nsf workshop...
TRANSCRIPT
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Using Field Observations to Calibrate Constitutive Models
Richard J. Finno
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Outline
• Inverse analysis– Overview– Chicago-State example– Other projects
• Challenges
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Parameter optimization algorithmParameter optimization algorithm(Flowchart)(Flowchart)
NO YES
Observations
Computedresults
Optimizedinput parameters
Is the modeloptimized?
FE run
Compute Objective Function
ComputeSensitivity X
Perform NonlinearRegression
Updatedinput parameters
Initialinput parameters
FE run Updatedresults
Perturb bk byuser-defined amount
FE run
Computed results
Calculate Xik=∂yi/∂bk(for i = 1 to ND)
Repeat fork=1 to NP
ND = Number of observationsNP = Number of parameters to optimize
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“Synthetic” excavations
• Observations: lateral movements based on excavation simulation with a given set of parameters (base case)
• Varied input parameters by ¼, ½ 2 and 4 times values used for base case as input to same excavation history as base case
• Always converged to within 98% of initial parameters
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Chicago – State Excavation
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Finite element schematic
InclinometersWEST EAST
+14’
+2’-1’
-15’
-23’
-35’
-50’
-60’
-80’
Sand fill
Clay crust
Upper Blodgett
Lower Blodgett
Deerfield
Park Ridge
Tinley
Hard Pan InclinometersWEST EAST
+14’
+2’-1’
-15’
-23’
-35’
-50’
-60’
-80’
Sand fill
Clay crust
Upper Blodgett
Lower Blodgett
Deerfield
Park Ridge
Tinley
Hard Pan
Stage 1 Drill secant pile wallStage 2 Excavate [+9’] and install strutsStage 3 Excavate [-3’] and install 1st level tiebacksStage 4 Excavate [-16’] and install 2nd level tiebacksStage 5 Excavate [-25’]
Layer 1
Layer 2
Layer 3
Layer 4
Layer 5
Observation sets
FE model (schematic)FE model (schematic)
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-15
-10
-5
0
5
10-50 -25 0 25 50 75 100 125 150 175 200 225 250 275 300 325 350
Elev
atio
n (m
CC
D)
1 - Install SP Wall (Day 2 to Day 11)2 - Install Strut 4 (Day 60)3 - Install Strut 5 (Day 74)4 - Stress 1st Level Tieback (Day 87)5 - Stress 2nd Level Tieback (Day 105)
7 - Pour Base Slab (Day 172 to Day 177)8 - Pour E. Ext. Wall (Day 197 to Day 207)9 - Remove Struts 4, 5, and 6 (Day 258)6 - Chip Face to Flange EL +3.35 to EL -7.62 (Day 110 to Day 140)
1 1 2 3
4 5
6 6 7
7
8 8 9
0
10
20
30
40
50
60
-50 -25 0 25 50 75 100 125 150 175 200 225 250 275 300 325 350
Construction Day Number
Mov
emen
t (m
m)
EL -3.7 (m CCD)
EL -7.9 (m CCD)
EL -11 (m CCD)
School Settlement (W10)
Wall installationExcavation and support Station renovation and backfill
1
Modelingstages
2 3 4 5
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Stage 4 Stage 5 Stage 1 Stage 2 Stage 3
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2 2.5
displacement (in)
Elev
atio
n (ft
CC
D)
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2 2.5displacement (in)
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2 2.5
displacement (in)
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2 2.5
displacement (in)
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2 2.5
diplacement (in)
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2 2.5
Elev
atio
n (ft
CCD
)
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2 2.5
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2 2.5
Measured field data Computed displacements
Initial estimate of input parameters
WE
ST s
ide
EA
ST s
ide
Computed vs. measured responseComputed vs. measured response
8
E50ref (psf) Parameter
valuesBlodgett 6,000Deerfield 6,000
Park Ridge 8,600
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Stage 1
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2
displacement (in)
Elev
atio
n (ft
CC
D)
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2
Elev
atio
n (ft
CC
D)
Measured field data Computed displacements
Observations used for regression analysis
Stage 4 Stage 5 Stage 1 Stage 2 Stage 3
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2
displacement (in)
Elev
atio
n (ft
CC
D)
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2
displacement (in)
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2
displacement (in)
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2
displacement (in)
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2diplacement (in)
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2
Elev
atio
n (ft
CC
D)
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2
-60
-50
-40
-30
-20
-10
0
10
0 0.5 1 1.5 2
Measured field data Computed displacements
Observations used for regression analysis
Parameters optimized based on
observations from stage 1
WE
ST s
ide
EA
ST s
ide
Computed vs. measured responseComputed vs. measured response
9
E50ref (psf) Parameter
valuesBlodgett 6,370Deerfield 17,960
Park Ridge 42,310
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-80
-70
-60
-50
-40
-30
-20
-10
0
10
20-3.0 -2.0 -1.0 0.0
Movement (in)
Ele
vatio
n (ft
CC
D)
Stage 4Stage 5Stage 6
PLAXIS
Field Data
Computed and observed lateral movements: North Wall at Lurie excavation with Chicago-State optimized parameters
E l e v a t i o n ( m
C C D )
F i l l ( S M )
N 3 - 7
S a n d ( S P ) N
1 5 - 2 6
S o f t t o M e d i u m
C l a y S u
2 9 - 4 3 k P a
S t i f f C l a y S u
1 0 5 k P a
H a r d C l a y S u
3 8 3 k P a
F i n a l E x
-25
-20
-15
-10
-5
0
5
c a v a t i o n G r a d e
( T y p i c a l )
2 0 o
1 0 o
3 0 o
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Movement (in)
-88
-78
-68
-58
-48
-38
-28
-18
-8
2
1200.20.40.60.81
Ele
vatio
n (ft
, EC
D)
Last stage
Field data
PLAXIS
Computed and observed lateral movements: Ford Center excavation with Chicago-State optimized parameters
Existing Building
She
ridan
Roa
d
~44.2m
~36.
6m
N
76
5 4
Vertical Supports
3
2 1
Existing Building
She
ridan
Roa
d
~44.2m
~36.
6m
N
76
5 4
Vertical Supports
3
2 1
Upper Supports, +1.5 m
Lower Supports, -1.0 m
+3.7 m+4.9 m
+2.0 m+1.5 m
-3.7 m
-9.5 m
W36x230 Waler
W24x141 Waler
Upper Supports, +1.5 m
Lower Supports, -1.0 m
+3.7 m+4.9 m
+2.0 m+1.5 m
-3.7 m
-9.5 m
W36x230 Waler
W24x141 Waler
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Challenges
• Material models features • Plane strain versus 3-D conditions
– Effects of unbalanced loads– Excavation surface selection– Geometry effects
• Effects of initial conditions
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Constitutive responses must include small strain nonlinearity
0.0001 0.001 0.01 0.1 1Local Triaxial Shear Strain, ε
sl (%)
0
10
20
30
40
50
60
Seca
nt S
hear
Mod
ulus
, Gse
c (M
Pa)
TC1TC2TCrRTE1RTE2RTEr
• δh dominated by larger strains near wall• δv distribution impacted by all strain levels
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Variation in shear and bulk modulus with direction of loading
88.5 89 89.5 90 90.5 91 91.5 92Effective Mean Normal Stress p' (kPa)
64
64.5
65
65.5
66
66.5
67
67.5
Dev
iato
ric S
tres
s q
(kPa
) 8.213.214.816.3
24.3
50.9
65.6
43.1
Initial K0 Stress State(p'=89.9 kPa, q=66.3 kPa)
TE
CMSE
RTE
AU
RTC CMS TC
ALG0.001 (MPa)
89 89.5 90 90.5 91Effective Mean Normal Stress p' (kPa)
65
65.5
66
66.5
67
Dev
iato
ric S
tres
s q
(kPa
) 22.6
12.5
62.1
38.8
29.3
Initial K0 Stress State(p'=89.9 kPa, q=66.3 kPa)
32.848.4
TE
RTE
AU
CQUCQL
TC
AL
K0.001 (MPa)
All tests on specimens cut from block samples of low OCR Chicagoclay and Ko consolidated to the initial vertical effective stress
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Ford Design Center
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Tech BuildingAlley
Sand/FillClay Crust
Soft ClayMedium Stiff Clay
Stiff ClayHardpan
5.2m0m
-1m-5m
-13.1 m-16.8 m
-24.4m
3.7m 3.7m 2.0m-3.7m
Tech BuildingAlley
Sand/FillClay Crust
Soft ClayMedium Stiff Clay
Stiff ClayHardpan
5.2m0m
-1m-5m
-13.1 m-16.8 m
-24.4m
3.7m 3.7m 2.0m-3.7m
28 mm
40 mm
0 mm
Inc. Location
Lateral Soil DisplacementLateral Soil Displacement
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0 2 4 6 8 10 12L/HE
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
PSR,
δ3D
/δ2D
0 1 2 3 4L/B
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
PSR,
δ3D
/δ2D
L/2L/2B/2B/2
HHEE
L/2L/2B/2B/2
HHEE
3-D versus Plane strain
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Erratic excavation sequence – predicting contractor behavior?
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Lurie Center Excavation –1 ramp location
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3-D Laser Scanning (UIUC)to measure excavated surface
Cyrax 2500– Range up to 100m– Accuracy
• Position: +/- 6mm (Range 1.5m to 50m)
• Distance: +/- 4mm• Angle: +/- 60 micro-radians• Surface precision: +/- 2mm
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Laser scan of Ford Center excavation
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Conclusions• Inverse analysis is a promising method to
calibrate constitutive parameters based on full scale field performance
• Constitutive models must include important responses for each problem
• Field conditions at the time when observations are made must be known with precision
• Know limitations of analysis - they are not all related to constitutive behavior