New question #700285 on Yade:
https://answers.launchpad.net/yade/+question/700285

Hello,

I want to study the change law of rock strength under triaxial compression 
under osmotic pressure.Then I write the following script.But When I run it,the 
running speed is very very slow(iter:3.0/s).Where is the problem?

Thanks for help!

######################################
from yade import pack, ymport, plot, utils, export, timing
from builtins import range 
import numpy as np

rate=-0.01
damp=0.4
stabilityThreshold=0.001
key='_triax_base_'
young=20e9
name='JCFPM_triax'
compFricDegree=30
poisson=0.1

mn,mx=Vector3(0,0,0),Vector3(0.05,0.05,0.05)
O.materials.append(JCFpmMat(type=1,density=2640,young=young,poisson=poisson,tensileStrength=1e7,cohesion=2e7,frictionAngle=radians(60),label='sphere'))
O.materials.append(JCFpmMat(type=1,frictionAngle=0,density=0,label='wall'))
walls=aabbWalls([mn,mx],thickness=0,material='wall')
wallIds=O.bodies.append(walls)

O.bodies.append(ymport.text('packing-JCFPM.spheres',scale=1,shift=Vector3(0,0,0),material='sphere',color=(0.6,0.5,0.15)))
### (The model imported here is a cube of about 5000 particles generated by 
Randomdensepack)

triax=TriaxialStressController(
        maxMultiplier=1.+2e7/young, 
        finalMaxMultiplier=1.+2e6/young, 
        thickness = 0,
        stressMask = 7,
        internalCompaction=True, 
)
newton=NewtonIntegrator(damping=damp)
def recorder():
        yade.plot.addData(
        i=O.iter,
        e11=-triax.strain[0],e22=-triax.strain[1],e33=-triax.strain[2],
        s11=-triax.stress(triax.wall_right_id)[0],#0+边界id为right
        s22=-triax.stress(triax.wall_top_id)[1],#1+边界id为top
        s33=-triax.stress(triax.wall_front_id)[2],#2+边界id为front
        P=triax.porosity,
        #meanS=-triax.meanStress[2]
        ev=triax.volumetricStrain,
        numberTc=interactionLaw.nbTensCracks,
        numberSc=interactionLaw.nbShearCracks,
        unb=unbalancedForce()
)
        plot.saveDataTxt('triax_JCFPM_HM_Wy=10.0Mpa,Sy=2.0MPa')

def stop_condition():
        if abs(triax.strain[2]) > 0.015:
                O.pause()
                presentcohesive_count = 0
                for i in O.interactions:
                        if hasattr(i.phys, 'isCohesive'):
                                if i.phys.isCohesive == 1:
                                        presentcohesive_count+=1
                print('the number of cohesive bond now 
is:',presentcohesive_count)

O.engines=[
        ForceResetter(),
        
InsertionSortCollider([Bo1_Sphere_Aabb(aabbEnlargeFactor=1.3,label='is2aabb'),Bo1_Box_Aabb()]),
        InteractionLoop(
                
[Ig2_Sphere_Sphere_ScGeom(interactionDetectionFactor=1.3,label='ss2sc'),Ig2_Box_Sphere_ScGeom()],
                [Ip2_JCFpmMat_JCFpmMat_JCFpmPhys()],
                
[Law2_ScGeom_JCFpmPhys_JointedCohesiveFrictionalPM(recordCracks=True,Key='triax_JCFPM_HM',label='interactionLaw')]
        ),
        
GlobalStiffnessTimeStepper(active=1,timeStepUpdateInterval=100,timestepSafetyCoefficient=0.8),
        triax,
        #TriaxialStateRecorder(iterPeriod=100,file='WallStresses'+key),
        newton,
        FlowEngine(dead=1,label='flow'),
        
PyRunner(iterPeriod=int(1000),initRun=True,command='recorder()',label='data',dead=0),
        PyRunner(iterPeriod=1000,command='stop_condition()',dead=0),

]

O.step()
ss2sc.interactionDetectionFactor=-1
is2aabb.aabbEnlargeFactor=-1

triax.goal1=triax.goal2=triax.goal3=-10e6
while 1:
        O.run(1000,1)
        unb=unbalancedForce()
        print('unbalanced force:',unb,'mean stres:',triax.meanStress)
        if unb<stabilityThreshold and 
abs(-10000000-triax.meanStress)/10000000<0.001:
                break

flow.dead=0
flow.meshUpdateInterval=2
flow.useSolver=4
flow.permeabilityFactor=1
flow.viscosity=1
flow.bndCondIsPressure=[0,0,0,0,1,1]
flow.bndCondValue=[0,0,0,0,2e6,0]

triax.internalCompaction=False
triax.stressMask=3
triax.goal1=-1e7
triax.goal2=-1e7
triax.goal3=rate


plot.plots={'e33':('s33',None,'unb'),'i':('numberTc','numberSc',None,'s33')}
plot.plot()
O.run()
################################################
Best wishes!



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