Some questions about simulating consolidated undrained triaxial test
Hi,
Recently, there is a problem that has been confusing me, that is, using DEM to simulate consolidate undrained triaxial tests. In laboratory , consolidated undrained triaxial test require stability of the confining pressure by the servo system, and keep sample volume constant through undrained condition, and these two systems are independent and basically do not interfere with each other, which means that confining pressure and volume of the sample do not change during the shearing process. However, as one of the methods, we set
stressMask = 0
triax.goal2 = rate
triax.goal1 = triax.goal3 = - rate/2
to simulate undrained condition in Yade. It seems that only the volume of the sample can keep constant, the confining pressure is changing during shearing. So is this method not very compatible with laboratory tests? Does this have an impact on the accuracy of the simulation results?
Thank you !
Cloud
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- Chareyre
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#1 |
>>the confining pressure is changing during shearing.
Could you be more specific? Are you simulating fluid? Is effective stress considered? A minimal working example would be helpful.
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#2 |
Hi Robert,
Thanks for your reply!
>>Are you simulating fluid?
No. Instead, to carry out the undrained test during triaxial shear, the volume of the sample was maintained constant. this is a method to simulate undrained condition in triaxial test without fluid.
We can check confining stress in file 'results_
the MWE:
from yade import pack
nRead=readParam
num_spheres=10000,
compFricDegree = 30 ,
key='_
unknownOk=True
)
from yade.params import table
num_spheres=
key=table.key
targetPorosity = 0.43
compFricDegree = table.compFricD
finalFricDegree = 22
rate=-0.02
damp=0.2
stabilityThresh
young=5e6
mn,mx=Vector3(
confiningS=400e3
O.materials.
O.materials.
walls=aabbWalls
wallIds=
sp=pack.
sp.makeCloud(
O.bodies.
triax=TriaxialS
maxMultiplier=
finalMaxMultip
thickness = 0,
stressMask = 7,
internalCompac
)
newton=
O.engines=[
ForceResetter(),
InsertionSortC
InteractionLoop(
[Ig2_
[Ip2_
[Law2_
),
GlobalStiffnes
triax,
TriaxialStateR
newton
]
Gl1_Sphere.
if nRead==0: yade.qt.
triax.goal1=
while 1:
O.run(1000, True)
unb=unbalanced
print 'unbalanced force:',unb,' mean stress: ',triax.meanStress
if unb<stabilityTh
break
O.save(
print "### Isotropic state saved ###"
triax.internalC
triax.width0=
triax.depth0=
triax.height0=
setContactFrict
triax.stressMask=0
triax.goal2= rate
triax.goal1=
newton.damping=0.1
O.saveTmp()
from yade import plot
def history():
plot.addData(
s11=
s22=
s33=
eta = 3*(-triax.
devi = -triax.
)
def stoploading():
axial_strain = abs(triax.
if axial_strain > 0.3:
print 'axial strain reach Limitation, stop loading!'
O.pause()
if 1:
O.engines=
O.engines=
else:
O.engines[
while 1:
O.run(1000,True)
if O.iter%100 == 0:
print "iter = ", O.iter
print "Syy = ",abs(triax.
if abs(triax.
break
plot.plots=
plot.plot()
plot.saveDataTx
plot.saveGnuplo
Cloud
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|
#3 |
Hi Robert,
Thanks for your reply!
>>Are you simulating fluid?
No. Instead, to carry out the undrained test during triaxial shear, the volume of the sample was maintained constant. this is a method to simulate undrained condition in triaxial test without fluid.
We can check confining stress in file 'results_
the MWE:
from yade import pack
nRead=readParam
num_spheres=10000,
compFricDegree = 30 ,
key='_
unknownOk=True
)
from yade.params import table
num_spheres=
key=table.key
targetPorosity = 0.43
compFricDegree = table.compFricD
finalFricDegree = 22
rate=-0.02
damp=0.2
stabilityThresh
young=5e6
mn,mx=Vector3(
confiningS=400e3
O.materials.
O.materials.
walls=aabbWalls
wallIds=
sp=pack.
sp.makeCloud(
O.bodies.
triax=TriaxialS
maxMultiplier=
finalMaxMultip
thickness = 0,
stressMask = 7,
internalCompac
)
newton=
O.engines=[
ForceResetter(),
InsertionSortC
InteractionLoop(
[Ig2_
[Ip2_
[Law2_
),
GlobalStiffnes
triax,
TriaxialStateR
newton
]
Gl1_Sphere.
if nRead==0: yade.qt.
triax.goal1=
while 1:
O.run(1000, True)
unb=unbalanced
print 'unbalanced force:',unb,' mean stress: ',triax.meanStress
if unb<stabilityTh
break
O.save(
print "### Isotropic state saved ###"
triax.internalC
triax.width0=
triax.depth0=
triax.height0=
setContactFrict
triax.stressMask=0
triax.goal2= rate
triax.goal1=
newton.damping=0.1
O.saveTmp()
from yade import plot
def history():
plot.addData(
s11=
s22=
s33=
eta = 3*(-triax.
devi = -triax.
)
def stoploading():
axial_strain = abs(triax.
if axial_strain > 0.3:
print 'axial strain reach Limitation, stop loading!'
O.pause()
if 1:
O.engines=
O.engines=
else:
O.engines[
while 1:
O.run(1000,True)
if O.iter%100 == 0:
print "iter = ", O.iter
print "Syy = ",abs(triax.
if abs(triax.
break
plot.plots=
plot.plot()
plot.saveDataTx
plot.saveGnuplo
Cloud
Revision history for this message
|
#4 |
Hi,
This is a purely conceptual problem. In lab you can impose total confining
stress, yes, but the effective confining stress is changing nevertheless.
In DEM you don't simulate the fluid, so which one do you record? Effective
or total?
Thats' the effective obviously, and so it is changing just like in lab.
Bruno
Le mar. 26 mars. 2019 02:27, Cloud <email address hidden> a
écrit :
> New question #679566 on Yade:
> https:/
>
> Hi,
>
> Recently, there is a problem that has been confusing me, that is, using
> DEM to simulate consolidate undrained triaxial tests. In laboratory ,
> consolidated undrained triaxial test require stability of the confining
> pressure by the servo system,
> and keep sample volume constant through undrained condition, and these
> two systems are independent and basically do not interfere with each other,
> which means that confining pressure and volume of the sample do not change
> during the shearing process. However, as one of the methods, we set
>
> stressMask = 0
> triax.goal2 = rate
> triax.goal1 = triax.goal3 = - rate/2
>
> to simulate undrained condition in Yade. It seems that only the volume of
> the sample can keep constant, the confining pressure is changing during
> shearing. So is this method not very compatible with laboratory tests? Does
> this have an impact on the accuracy of the simulation results?
>
> Thank you !
> Cloud
>
>
>
> --
> You received this question notification because your team yade-users is
> an answer contact for Yade.
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#5 |
Thanks Chareyre, that solved my question.
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#6 |
Thank you for the MWE
>> this is a method to simulate undrained condition in triaxial test without fluid.
Do you have a reference for this?
>>This is a purely conceptual problem. In lab you can impose total confining
stress, yes, but the effective confining stress is changing nevertheless.
In DEM you don't simulate the fluid, so which one do you record? Effective
or total?
Am I mistaken or should strain rate technically depend on maintaining pore pressure equilibrium for a consolidated undrained test? In that case the effective confining stress should remain constant. Right?
Correct me if I am wrong, but the assumption that your volume will not change by simply applying an axial strainRate and lateral -strainRate/2 is incorrect for a dry cubical packing of frictionally interacting spheres. Consider the role of the fluid pressure in an undrained triaxial test, it does not allow the force due to friction between sand grains to increase. In your case, the particles continue to "consolidate" (overlap) since the pore pressure is not modeled. If they are consolidating, the volume is changing and the packing is not expanding outwards with your walls, resulting in a decrease of confining pressure. I don't see how this model could represent the consolidated undrained shear strength.
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#7 |
> should strain rate technically depend on maintaining pore pressure equilibrium for a consolidated undrained test?
No. In undrained tests pore pressure is a result, it is not maintained.
> In your case, the particles continue to "consolidate" (overlap)
I don't think so. If you impose a constant volume there is no consolidation.
It is partly correct to replace fluid by a condition of shear at constant volume, in the sense that it's indeed the only effect of the fluid at the macroscale (if we admit water compressibility can be neglected... not true for rock materials).
What is missed by this approach is the internal circulations of fluid due to heterogeneities of local strain, but in terms of boundary conditions it makes sense.