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- from yade import pack
- # Data definition
- nRead=utils.readParamsFromTable(
- num_spheres=3000,# number of spheres
- compFricDegree = 10, # contact friction during the confining phase
- unknownOk=True,
- isoForce=100000
- )
- from yade.params import table
- num_spheres=table.num_spheres# number of spheres
- targetPorosity = 0.387 #the porosity we want for the packing
- compFricDegree = table.compFricDegree
- finalFricDegree = 35 # contact friction during the deviatoric loading
- rate=0.002 # loading rate (strain rate)
- damp=0.2 # damping coefficient
- stabilityThreshold=0.1 # 0.01
- key='_triax_draine_e618_100_psd' # put you simulation's name here
- young=356e6 # contact stiffness
- mn,mx=Vector3(-0.1,-0.1,-0.1),Vector3(0.1,0.1,0.1) # corners of the initial packing
- thick = 0.01 # thickness of the plates
- ## create materials for spheres and plates
- O.materials.append(FrictMat(young=young,poisson=0.42,frictionAngle=radians(compFricDegree),density=3000,label='spheres'))
- O.materials.append(FrictMat(young=young,poisson=0.5,frictionAngle=0,density=0,label='walls'))
- ## create walls around the packing
- walls=utils.aabbWalls([mn,mx],thickness=thick,oversizeFactor=1.5,material='walls')
- wallIds=O.bodies.append(walls)
- ## use a SpherePack object to generate a random loose particles packing
- sp=pack.SpherePack()
- psdSizes=[0.002,0.003,0.004,0.005,0.006,0.007,0.008,0.0095] # (sizes or radii of the grains vary from 2mm to 9.5mm)
- psdCumm=[0.01,0.09,0.25,0.50,0.69,0.90,0.95,1.00] # for the code do not use percentage
- sp.makeCloud(mn,mx,-1,0,num_spheres,False, 0.95,psdSizes,psdCumm,False,seed=1) #"seed" make the "random" generation always the same
- sp.toSimulation(material='spheres')
- # engine
- triax=TriaxialStressController(
- maxMultiplier=1.001, # spheres growing factor (fast growth)
- finalMaxMultiplier=1.01, # spheres growing factor (slow growth)
- thickness = thick,
- stressMask = 7,
- #the value of confining stress for the intitial (growth) phase
- goal1=table.isoForce,
- goal2=table.isoForce,
- goal3=table.isoForce,
- max_vel=0.05,
- internalCompaction=True, # If true the confining pressure is generated by growing particles
- # Key=key # passed to the engine so that the output file will have the correct name
- )
- newton=NewtonIntegrator(damping=damp)
- O.engines=[
- ForceResetter(),
- InsertionSortCollider([Bo1_Sphere_Aabb(),Bo1_Box_Aabb()]),
- InteractionLoop(
- [Ig2_Sphere_Sphere_ScGeom(),Ig2_Box_Sphere_ScGeom()],
- [Ip2_FrictMat_FrictMat_FrictPhys()],
- [Law2_ScGeom_FrictPhys_CundallStrack()]
- ),
- GlobalStiffnessTimeStepper(active=1,timeStepUpdateInterval=25,timestepSafetyCoefficient=0.8),
- triax,
- TriaxialStateRecorder(iterPeriod=50,file='WallStresses'+key),
- newton
- ]
- # compaction
- while 1:
- O.run(1000, True)
- unb=unbalancedForce()
- 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, 'void ratio=', triax.porosity/(1-triax.porosity), 'porosity=', triax.porosity
- if unb<stabilityThreshold and abs(meanS-table.isoForce)/table.isoForce<0.01: #0.001
- break
- O.save('confinedState'+key+'.yade.gz')
- print "### Isotropic state saved ###"
- print 'current porosity=',triax.porosity
- print 'current void ratio=',triax.porosity/(1-triax.porosity)
- # porosity satisfy
- import sys
- while triax.porosity>targetPorosity:
- compFricDegree = 0.95*compFricDegree
- setContactFriction(radians(compFricDegree))
- print "\r Friction: ",compFricDegree," porosity:",triax.porosity,
- sys.stdout.flush()
- O.run(500,1)
- O.save('compactedState'+key+'.yade.gz')
- print "### Compacted state saved ###"
- print 'current porosity=',triax.porosity
- print 'current void ratio=',triax.porosity/(1-triax.porosity)
- # applying load
- triax.goal1=triaxgoal2=triax.goal3=100000
- triax.internalCompaction=False
- setContactFriction(radians(35))
- triax.stressMask = 5
- #strain rate
- triax.goal2=-rate
- #confinement stress
- triax.goal1=100000
- triax.goal3=100000
- newton.damping=0.1
- ##Save temporary state in live memory. This state will be reloaded from the interface with the "reload" button.
- O.saveTmp()
- # PSD Plotter
- #import matplotlib; matplotlib.rc('axes',grid=True)
- #from yade import pack
- #import pylab
- #pylab.plot(psdSizes,psdCumm,label='precribed mass PSD')
- #sp0=pack.SpherePack();
- #sp0.makeCloud(mn,mx,psdSizes=psdSizes,psdCumm=psdCumm,distributeMass=True)
- #sp1=pack.SpherePack();
- #sp1.makeCloud(mn,mx,psdSizes=psdSizes,psdCumm=psdCumm,distributeMass=True,num=10000)
- #sp2=pack.SpherePack();
- #sp2.makeCloud(mn,mx,psdSizes=psdSizes,psdCumm=psdCumm,distributeMass=True,num=20000)
- #pylab.semilogx(*sp0.psd(bins=30,mass=True),label='Mass PSD of (free) %d random spheres'%len(sp0))
- #pylab.semilogx(*sp1.psd(bins=30,mass=True),label='Mass PSD of (imposed) %d random spheres'%len(sp1))
- #pylab.semilogx(*sp2.psd(bins=30,mass=True),label='Mass PSD of (imposed) %d random spheres (scaled down)'%len(sp2))
- #pylab.legend()
- ## uniform distribution of size (sp3) and of mass (sp4)
- #sp3=pack.SpherePack(); sp3.makeCloud(mn,mx,rMean=0.005635,rRelFuzz=0,distributeMass=False);
- #sp4=pack.SpherePack(); sp4.makeCloud(mn,mx,rMean=0.005635,rRelFuzz=0,distributeMass=True);
- #pylab.figure()
- #pylab.plot(*(sp3.psd(mass=True)+('g',)+sp4.psd(mass=True)+('r',)))
- #pylab.legend(['Mass PSD of size-uniform distribution','Mass PSD of mass-uniform distribution'])
- #pylab.figure()
- #pylab.plot(*(sp3.psd(mass=False)+('g',)+sp4.psd(mass=False)+('r',)))
- #pylab.legend(['Size PSD of size-uniform distribution','Size PSD of mass-uniform distribution'])
- #pylab.show()
- #pylab.show()
- # Plot
- from yade import plot
- ## a function saving variables
- def history():
- plot.addData(e11=triax.strain[0], e22=triax.strain[1], e33=triax.strain[2],
- ev=-triax.strain[0]-triax.strain[1]-triax.strain[2],
- s11=triax.stress(triax.wall_right_id)[0],
- s22=triax.stress(triax.wall_top_id)[1],
- s33=triax.stress(triax.wall_front_id)[2],
- p=(triax.stress(triax.wall_right_id)[0]+triax.stress(triax.wall_top_id)[1]+triax.stress(triax.wall_front_id)[2])/3000,
- q=(triax.stress(triax.wall_top_id)[1]-triax.stress(triax.wall_front_id)[2])/1000,
- i=O.iter)
- if 1:
- # include a periodic engine calling that function in the simulation loop
- O.engines=O.engines[0:5]+[PyRunner(iterPeriod=20,command='history()',label='recorder')]+O.engines[5:7]
- O.engines.insert(4,PyRunner(iterPeriod=20,command='history()',label='recorder'))
- else:
- # With the line above, we are recording some variables twice. We could in fact replace the previous
- # TriaxialRecorder
- # by our periodic engine. Uncomment the following line:
- O.engines[4]=PyRunner(iterPeriod=20,command='history()',label='recorder')
- O.run(100,True)
- ### declare what is to plot. "None" is for separating y and y2 axis
- #plot.plots={'i':('e11','e22','e33',None,'s11','s22','s33')}
- ### the traditional triaxial curves would be more like this:
- plot.plots={'e22':('q')}
- ## display on the screen (doesn't work on VMware image it seems)
- plot.plot()
- ##or even generate a script for gnuplot. Open another terminal and type "gnuplot plotScriptKEY.gnuplot:
- plot.saveGnuplot('plotScript'+key)
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