lecture 8 fatigue 2 2011
TRANSCRIPT
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Investigate Fatigue Crack Growth Mechanismsand Life Prediction Methodologies
Cyclic loads and simple growth models Crack closure Newmans model Variable amplitude loads
Micro (nano) mechanisms of fatigue Incubation, nucleation, microstructurally small crack
growth, physically small crack growth, long crackgrowth
CEE 7700 Meeting 8Objectives of This Meeting
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How Do You Select An Initial Crack Size? Specified by a standard or company policy
For turbine disks, the Air Force requires that one consider a 0.050flaw at all highly stressed locations
The allowable initial flaw size for a required fatigue life may be the unknown in the analysis
The allowable initial flaw size may dictate the required inspectionand acceptance criteria for a component
Use a characteristic inherent flaw size forthe material Second phase
particles
Assume the smallest flawthat can be detected reliably
0
1
a0
probabilityof detection
NDE method 1
method 2
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How Do You Decide When to Terminate a LifePrediction Analysis?
The onset of unstable crack growth
Computed cycles exceed those required for the application
The crack reaches a specified allowable size
IcK RK
K 1
max
allowableaa
The stress intensity factor range falls below threshold
threshold K K
required N N
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increasing R
logdadN
log( K )
Load Ratio, R, Effects on FCGR
Most materials exhibit a strong correlation between crack growthrates and the load ratio, R , with increasing crack growth ratesobserved for increasing R s
Growth rates increase with R until a saturation level is reached (about0.6 to 0.7 for most steels and aluminums, but can be as low as 0.5 forsome Ti alloys). Above this level there is no increase in growth rate
with increasing R .
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K
eff K
dN da
1 0 1
R
constant applied K
Load Ratio Effects for Negative Values
Remotely applied loads
Effective crack-tip loads
global crack closure
expected due toglobal closure
observed
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strain gage
fatigue crack
s
e
E
Load Ratio Effects Are Best Explained by theCrack Closure Concept
If a strain gauge is placed ~2mm behind the crack tip, one observes that the
compliance in the near-tip region changes as the remote load is increased.
This indicates that near the crack tip, the crack faces do not separateimmediately upon the application of a remote tensile load, but remain incontact for some portion of the load cycle. This effectively reduces the SIFrange experienced by the crack tip.
e 0
s op
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K eff K max K op K K max K min
The Crack Closure Concept and the Use of K eff Was First Proposed by Elber
K op is the load level where the crack faces
open
Any of the following closure mechanisms may be present: plasticity -induced crack closure
oxide -induced crack closure roughness -induced crack closure viscous fluid -induced crack closure transformation -induced crack closure
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crack tip crack advance
crack openingcrack closure
A
B
C
D
E
F
Material loaded in compression
Material yielding in tension
permanent plastic
elongation
A Simple Model for Plasticity-induced Crack Closure
time
A
B
C
D
E
F
K max
K min
K op K eff
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The Effect of Crack Closure for a Typical
Al Alloy for Various Rs
At high R s, there is no crack closure effect becauseK op equals K min. That is, the crack faces always
remain open.
time
K
K op K K eff
R 0.0, K eff
K 0.73
time
K
K op K K eff
R 0.25, K eff
K 0.86
time
K
K op
K K eff
R 0.7, K eff
K 1.0
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0
0.5
1
1.5
2
2.5
-1 -0.5 0 0.5 1 R
a
virtual cutoff
dadN Walker
a dadN Paris
The Walker FCGR ModelAn empirical modification to the Paris model that accounts for R effects.This was proposed before crack closure concepts were well understood.As proposed, it does not account for saturation at high R s.
dadN
C K n
(1 R)1 m
The Walker model has been popular in the aerospace industry because it is:simple to apply, requires only one additional parameter ( m , usually assumed to be0.5), and gives reasonable results for many materials providing that R is not too
high.
Note: R = 0 is taken asthe base configuration
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S
2d
W
2d
W
s s
Newman, A crack -closure model for predicting fatigue- crack growth under aircraft spectrum loading, Methods and models for predicting fatigue
crack growth under random loading , Chang and Hudson, eds., ASTM STP 748, 1981, pp.53-84
Newmans Model for Crack Closure (FASTRAN)
1) analytical solutions for a crack in a plate with remote and
partial crack-face loading
2) an estimate for the plastic zone size
cW
csin 1 sin
cW
sec
S max2as 0
1
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S max S min
c c
s s
maximum stress minimum stress
3) generalized Dugdale crack with perfectly plastic bars placed in thecrack.
as 0
as 0
as 0
as 0yielding in tension
yielding in compression
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f K op
K max
max( R, A0 A1 R A2 R2 A3 R
3)
A0 A1 R
R 0
2 R 0
A0 (0.825 0.34a 0.05a 2 )[cos( 2 S max /s 0 )]
1 a
A1 (0.415 0.071a )S max /s 0 A2 1 A0 A1 A3
A3 2 A0 A1 1
Newman, A crack -opening stress equation for fatigue crack growth, Int J Fracture , Vol. 24, 1984, R131-R135
For constant amplitude loading, Newman has run his modelfor a wide range of parameters and developed an
expression for K op as a function of K max , R , S max , and s 0
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da/dN vs. K effective curves for Al-2024, Al-7075,Ti-6-4, and 4340 Steel
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176 Newman, Phillips, and Swain, Fatigue -life prediction methodology using small-crack theory and a crack- closure model, Proc FAA -NASA symposium oncontinued airworthiness of aircraft structures, Atlanta, GA, 1996
FASTRAN predictions for constant amplitude loading
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FASTRAN Predictions for Variable Amplitude Loading
Newman, Phillips, and Swain, Fatigue -life prediction methodology using small-crack theory and a crack- closure model, Proc FAA -NASA symposium oncontinued airworthiness of aircraft structures, Atlanta, GA, 1996
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log( K )
logdadN
K threshold
Short Cracks Grow Faster Than Would Be Predicted forTheir Corresponding K
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long cracks(LEFM)
crack length, a , or log K
l o g
d a
/ d N
short cracks
plastic zone
residualplastic wake
crack
Short cracks do not have a fully developed plastic wake. As it developes, K op will increase and the cracks will decelerate and possibly retard.
The Short Crack Anomaly Can Be Explained by CrackClosure Effects
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log( K )
log( dadN )
7050 T74 AL
R 0.8
R 0.4 R 0.1
The Forman model has 14 free parameters. The NASGRO program has amaterial database that includes the appropriate parameters for over 300
combinations of alloy, test environment, and product form.
dadN C (1 f )n
K n
(1
K th K ) p
(1 R)n (1 K [(1 R) K c ])q
The Forman (NASGRO) Model
State-of-the-Practice!
(90)