animations to illustrate the effect of uncertainty in crack orientation view these slides in...

8
Animations to illustrate the effect of uncertainty in crack orientation View these slides in SlideShow mode of PowerPoint (not OpenOffice). Press Shift-F5 to get into slideshow mode. Copyright [email protected]

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Animations to illustrate the effect of uncertainty in crack orientation

View these slides in SlideShow mode of PowerPoint (not OpenOffice).

Press Shift-F5 to get into slideshow mode.

Copyright [email protected]

Single crack

Pro

ba

bili

ty o

f fa

ilure

radius of Mohr’s circle

n

TXE

TXC

Stress can extend BEYOND the failure line because...

The sample won’t fail unless a crack exists in a “dangerous” orientation.

PROBLEM: Crack orientations are unknown.

SOLUTION: treat this problem probabilistically.

TXETXC

A simple model:

Crack grows when , minus shear carried by friction (-n), reaches a critical value.

This is a straight line in Mohr diagram:

cn

K

a

n

Let’s compareTriaxial extension (TXE) with Triaxial compression (TXC)

at the same pressure and equivalent shear.

normal stressn shear stress

Probability of failure

= probability the crack normal lies in the “danger zone” on the sphere

= area fraction of danger zones

Crack orientation is a unit normal.

Unit normals are points on the unit sphere.

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Failure probability (multiple cracks)

Let g(a) = probability that a single crack of size “a” is safe.

safe1 2Two cracks, two sizes: ( ) ( )P g a g a

safe 2Two cracks, one size: ( )P g a

1 2safe1 2Multiple cracks, multiple sizes: ( ) ( ) ...n nP g a g a

safe1 1 2 2ln( ) ln( ( )) ln( ( )) ...P n g a n g a

safe tot1 1 2 2ln( ) ( ln[ ( )] ln[ ( )] ...)P n p g a p g a

safe tot

0

ln( ) ( ) ln[ ( )]P p a a dn g a

Upper bound

safe0

1 1ln ln( ) ln ln ( ) ln

( )NV p a da

P g a

shear stress

100 exponentially distributed cracks

failP

Singlecrack

shear stress

failP

Implicitly a function of stress, X().MEASURE IT(easily might not be Weibull).

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Accounting for uncertainty in crack orientation is only qualitatively similar to Weibull theory

Weibull theory is simple and consistent with our lower bound analysis.

BrnnonCopyright [email protected]

Does Weibull theory give the correct sample size dependence?

l1

l nn ln ln ln(2) lns

V

Vm

P

V Vsm

alle

r sam

ple

V V

larg

er s

ampl

e

ln

V V

Basel

ine

1ln ln ln ln(2)

sP

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SIMULATED AND MEASURED SPALL DATA

SIMULATED AND MEASURED BRAZILIAN DATA

Deviation of measured data is comparable to finite sampling errors for simulated data that are exactly Weibull distributed.

measuredbest fitsimulatedsimulatedsimulated

measuredbest fitsimulatedsimulatedsimulated

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EVIDENCE OF SIZE EFFECTS

Sample-to-Sample variability in strength at large scales.

SIGNIFICANT size effects – not negligible.

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specimen

larg

especim

en

smal

l

pressure (GPa)

stre

ngth

(GP

a)

Initial state:Small elements are stronger on average, but also more variable.

conventional damage model

same model with uncertainty and size effects

Spatial Variability & Length Scale Effects

small small elements

elements

LARGE LARGE elementselements

Experiment

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