Question #660101 on Yade changed:
https://answers.launchpad.net/yade/+question/660101
roger gutierrez espinoza posted a new comment:
thanks for your help.
exactly is the triax-tutorial examples of yade.
# -*- coding: utf-8 -*-
from yade import pack
num_spheres=500
## corners of the initial packing
mn,mx=Vector3(0,0,0),Vector3(1,1,1)
thick = 0.01
compFricDegree = 2
rate=0.2
damp=0.1
stabilityThreshold=0.001
key='_triax_base2_'
## create material #0, which will be used as default
O.materials.append(FrictMat(young=5e6,poisson=0.5,frictionAngle=radians(compFricDegree),density=2600,label='spheres'))
O.materials.append(FrictMat(young=5e6,poisson=0.5,frictionAngle=0,density=0,label='walls'))
## create walls around the packing
walls=aabbWalls([mn,mx],thickness=thick,material='walls')
wallIds=O.bodies.append(walls)
sp=pack.SpherePack()
sp.makeCloud(mn,mx,-1,0.3333,num_spheres,False, 0.95)
volume = (mx[0]-mn[0])*(mx[1]-mn[1])*(mx[2]-mn[2])
mean_rad = pow(0.09*volume/num_spheres,0.3333)
clumps=False
if clumps:
c1=pack.SpherePack([((-0.2*mean_rad,0,0),0.5*mean_rad),((0.2*mean_rad,0,0),0.5*mean_rad)])
sp.makeClumpCloud((0,0,0),(1,1,1),[c1],periodic=False)
O.bodies.append([sphere(center,rad,material='spheres') for center,rad
in sp])
standalone,clumps=sp.getClumps()
for clump in clumps:
O.bodies.clump(clump)
for i in clump[1:]:
O.bodies[i].shape.color=O.bodies[clump[0]].shape.color
#sp.toSimulation()
else:
O.bodies.append([sphere(center,rad,material='spheres') for center,rad
in sp])
O.dt=.5*PWaveTimeStep() # initial timestep, to not explode right away
O.usesTimeStepper=True
triax=ThreeDTriaxialEngine(
maxMultiplier=1.005,
finalMaxMultiplier=1.002,
thickness = thick,
stressControl_1 = False,
stressControl_2 = False,
stressControl_3 = False,
## Independant stress values for anisotropic loadings
sigma1=-10000,
sigma2=-10000,
sigma3=-10000,
internalCompaction=True,
Key=key,
)
newton=NewtonIntegrator(damping=damp)
O.engines=[
ForceResetter(),
InsertionSortCollider([Bo1_Sphere_Aabb(),Bo1_Box_Aabb()],verletDist=-mean_rad*0.06),
InteractionLoop(
[Ig2_Sphere_Sphere_ScGeom(),Ig2_Box_Sphere_ScGeom()],
[Ip2_FrictMat_FrictMat_FrictPhys()],
[Law2_ScGeom_FrictPhys_CundallStrack()]
),
GlobalStiffnessTimeStepper(active=1,timeStepUpdateInterval=100,timestepSafetyCoefficient=0.8,
defaultDt=4*PWaveTimeStep()),
triax,
TriaxialStateRecorder(iterPeriod=100,file='WallStresses'+key),
newton
]
#Display spheres with 2 colors for seeing rotations better
Gl1_Sphere.stripes=0
yade.qt.Controller(), yade.qt.View()
while 1:
O.run(1000, True)
#the global unbalanced force on dynamic bodies, thus excluding boundaries,
which are not at equilibrium
unb=unbalancedForce()
#average stress
#note: triax.stress(k) returns a stress vector, so we need to keep only the
normal component
meanS=(triax.stress(triax.wall_right_id)[0]+triax.stress(triax.wall_top_id)[1]+triax.stress(triax.wall_front_id)[2])/3
print 'unbalanced force:',unb,' mean stress: ',meanS
if unb<stabilityThreshold and abs(meanS+10000)/10000<0.001:
break
O.save('compressedState'+key+'.xml')
print "### Isotropic state saved ###"
#let us turn internal compaction off...
triax.internalCompaction=False
#
triax.setContactProperties(30)
#... and make stress control independant on each axis
triax.stressControl_1=triax.stressControl_2=triax.stressControl_3=True
# We have to turn all these flags true, else boundaries will be fixed
triax.wall_bottom_activated=True
triax.wall_top_activated=True
triax.wall_left_activated=True
triax.wall_right_activated=True
triax.wall_back_activated=True
triax.wall_front_activated=True
#If we want a triaxial loading at imposed strain rate, let's assign srain rate
instead of stress
triax.stressControl_2=0 #we are tired of typing "True" and "False", we use
implicit conversion from integer to boolean
triax.strainRate2=0.01
triax.strainRate1=triax.strainRate3=1000.0
#Else if we want imposed stress increments, etc...
##First perform a transverse isotropic compression (or a stress controlled
drained triaxial compression) to reach an initial state from where stress
probes will be applied
##... need to active stress control in 3 directions
#triax.stressControl_1=triax.stressControl_2=triax.stressControl_3=True
##... choose the value of axial stress where we want to stop the compression
#triax.sigma2=-12000
##... fix a maximum strain rate to go progressivly to the desired stress state
in direction 2
#triax.strainRate2=0.01
##... fix a high value of maximum strain rate in radial direction to be sure to
keep in any conditions a constant confining pressure
#triax.strainRate1=triax.strainRate3=1000.0
#while 1:
#O.run(100, True)
##the global unbalanced force on dynamic bodies, thus excluding boundaries,
which are not at equilibrium
#unb=unbalancedForce()
##note: triax.stress(k) returns a stress vector, so we need to keep only the
normal component
#axialS=triax.stress(triax.wall_top_id)[1]
#print 'unbalanced force:',unb,' sigma2: ',axialS
#if unb<stabilityThreshold and abs((axialS-triax.sigma2)/triax.sigma2)<0.001:
#break
#O.save('anisotropicState'+key+'.xml')
##Perform stress probes from the anisotropic state
#dSnorm = 100.0 #norm of the stress increment
#nbProbes = 16 #number of stress directions tested
#rampIte = 20 #nb iterations to increase the stress state until the final
desired stress value
##LUC: je fixe des nombres d'iterations c'est moins elegant que de chercher
explicitement un etat d'equilibre mais ca permet de poursuivre le calcul meme
si un etat de contrainte n'est pas correctement atteint pour un stress probe et
qu'il est difficile de se stabiliser a cet etat de contrainte (i.e. attendre
longtemps...)
#stabIte = 5000 #nb iterations to stabilize sample after reaching the final
stress value
## an array for saving stress increments and strain responses; arrays are in
"numpy" extension
#import numpy
#probings=numpy.zeros((3,nbProbes))
#def increment(dsr=0,dsa=1):
#for ite in range(rampIte):# progressivaly increase of stress state
#O.run(20, True)
##incrementation of stress state
#triax.sigma2 = initSa+dsa/rampIte*ite
#triax.sigma1 = triax.sigma3 = initSr+dsr/rampIte*ite
#print triax.sigma1, triax.sigma2
## fix the stress value for stabilization at the final state
#triax.sigma2 = initSa+dsa
#triax.sigma1 = triax.sigma3 = initSr+dsr
#while 1:
#O.run(100, True)
#unb=unbalancedForce()
#print 'unbalanced force:',unb,' strain: ',triax.strain
#if unb<stabilityThreshold: break
## loop over all the stress directions
#for i in range(nbProbes):
## computation of the stress direction of the current stress probe
#alphaS = 2*pi/nbProbes*(i-1)
#print 'stress probe nb:',i,' stress direction (deg): ',degrees(alphaS)
## computation of the stress increment in the axial direction
#dSa = dSnorm*sin(alphaS)
## computation of the stress increment in the radial direction
#dSr = dSnorm*cos(alphaS)/sqrt(2.0)
##Load the initial anisotropic state before running a new stress probe
#O.load('anisotropicState'+key+'.xml')
##We redefine the "triax" label, else it would point to inactive engine
from previous simulation that is still in memory
#triax=O.engines[4]
#initSa=triax.sigma2 #save of the initial axial stress
#initSr=triax.sigma1 #save of the initial radial stress
## define the final stress state to be reached
#finalSa = initSa+dSa
#finalSr = initSr+dSr
##... need to active stress control in 3 directions if not yet done
#triax.stressControl_1=triax.stressControl_2=triax.stressControl_3=True
## fix a high value of maximum strain rate, the progressive loading
will be done by progressively increasing the desired stress state at each
iteration
#triax.strainRate1=triax.strainRate2=triax.strainRate3=1000.0
#increment(dSr,dSa)
#probings[:,i]=triax.strain
##open a file for writing probing results
#a=open('probings'+key,'w')
#for i in range(nbProbes): a.write(str(probings[0][i])+'
'+str(probings[1][i])+' '+str(probings[2][i])+'\n')
#a.close()
##plot
#from pylab import *
#plot(probings[0,:]*sqrt(2),probings[1,:],'bo--')
#ylabel(r'$\epsilon_{22}$')
#xlabel(r'$\epsilon_{11} \times \sqrt{2}$')
#title('response envelop')
#grid()
#show()
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