New question #654914 on Yade:
https://answers.launchpad.net/yade/+question/654914

Dear Friends,

I am not sure why my below script, does not converge, even by increasing the 
micro parameters such as friction angle, the simulation  does not reach to 
target and gives me flat surface of grains instead of a heap - it is a time 
consuming  process . can you please advise me where is my mistake? 


#!/usr/bin/python
from yade import pack,utils, qt, plot
pred = pack.inAlignedBox((0,0,0),(0.067,0.067,0.067))
#create material.
#soil1 = 
CohFrictMat(young=30e7,poisson=0.3,frictionAngle=radians(30),density=2600.0,normalCohesion=10e9,
 shearCohesion=80e9,alphaKr=0.15,label='soil')
soil1 = 
CohFrictMat(alphaKr=0.15,young=30e9,poisson=0.4,density=2600,frictionAngle=radians(36.5),momentRotationLaw=True,etaRoll=0.3,label='spheres')
#color=(1,0,0) ----red color
#soil1 = 
FrictMat(alphaKr=1.7,young=30e6,poisson=0.3,frictionAngle=radians(30),density=2600.0,etaRoll=.4,label='soil')
O.materials.append(soil1)
O.bodies.append(utils.wall(0,axis=1,sense=1))
O.materials.append(CohFrictMat(young=30e6,poisson=0.3, frictionAngle = 
radians(30) , label='wallmat'))
#O.materials.append(FrictMat(young=30e9,poisson=0.3, frictionAngle = 
radians(30) , label='wallmat'))
wallmat = O.materials[-1]

spheres=SpherePack()
spheres=pack.randomDensePack(pred,radius=.0025,rRelFuzz=0,material='soil',spheresInCell=1000,color=(1,0,0),returnSpherePack=True)
spheres.toSimulation()
#O.bodies.append(spheres)
#

#
O.engines=[
             ForceResetter(),#reset forces
             InsertionSortCollider([Bo1_Wall_Aabb(),Bo1_Sphere_Aabb()]),
             InteractionLoop(
                            
[Ig2_Sphere_Sphere_ScGeom6D(),Ig2_Wall_Sphere_ScGeom()], # collision geometry
                            [Ip2_CohFrictMat_CohFrictMat_CohFrictPhys(), 
Ip2_FrictMat_FrictMat_FrictPhys  ()],# collision "physics"
                            
[Law2_ScGeom6D_CohFrictPhys_CohesionMoment(),Law2_ScGeom_FrictPhys_CundallStrack()]
 # contact law -- apply forces
                                            ),
                      # apply gravity force to particles
                            # damping: numerical dissipation of energy
              NewtonIntegrator(damping=0.4,gravity=(0,-9.81,0)),
                            
#qt.SnapshotEngine(fileBase='3d-',iterPeriod=200,label='snapshot'),
   # this engine will be called after 20000 steps, only once
                            
              
PyRunner(command='checkUnbalanced()',realPeriod=50,label='checker'),
              PyRunner(command='addPlotData()',iterPeriod=100)
]

print 'Number of elements: ', len(O.bodies)

print 'Box Volume: '
print '8000,unbalancedForce()<1e-1,0.0005, 
alphaKr=0.15,young=30e9,poisson=0.4,density=2600,frictionAngle=radians(36.5),momentRotationLaw=True,etaRoll=0.3,'
O.trackEnergy=True
# set timestep to a fraction of the critical timestep
# the fraction is very small, so that the simulation is not too fast
# and the motion can be observed
O.dt=2.1*utils.PWaveTimeStep()
#makeVideo(snapshot.snapshots,'3d.mpeg',fps=10,bps=10000)
# save the simulation, so that it can be reloaded later, for experimentation
#O.saveTmp()0
#checker.command='stopUnloading()'
def checkUnbalanced():
   if unbalancedForce()<1e-2:
      print('Reached target , stopping')
      O.pause()
      plot.saveDataTxt('FrictMat,e-2repose10degree,r=.5,0, damping= 
0.5.txt.bz2')
      plot.saveDataTxt('FrictMat,e-2repose10degree,r=.5,0, damping= 0.5.txt')
#plot.saveDataTxt('modi.data.bz2')
      # plot.saveGnuplot('bbb') is also possible

# collect history of data which will be plotted

def addPlotData():
   # each item is given a names, by which it can be the unsed in plot.plots
   # the **O.energy converts dictionary-like O.energy to plot.addData arguments
   plot.addData(i=O.iter,unbalanced=unbalancedForce(),**O.energy)
#O.save('Modifiedd.txt.bz2')
#while 1:
        #O.run(100,True)
        #if unbalancedForce()<1e-5:
                #break
plot.plots={'i':('unbalanced',None,O.energy.keys)}
plot.plot()

O.saveTmp()

#plot.saveDataTxt('2')
from yade import qt
qt.View()
#O.run()
#from yade import qt
#qt.View()
#O.run()
# this function is called when the simulation is finished
#def finish():
   # snapshot is label of qt.SnapshotEngine
   # the 'snapshots' attribute contains list of all saved files
   #makeVideo(snapshot.snapshots,'3d.mpeg',fps=10,bps=10000)
   #O.pause()


yade.qt.Controller();
# set parameters of the renderer, to show network chains rather than particles
# these settings are accessible from the Controller window, on the second tab 
("Display") as well
#rr=yade.qt.Renderer()
#rr.shape=False
#rr.intrPhys=True
plot.saveDataTxt('reposefric,.2,17,17,.004mm,young=30e6,poisson=0.3,frictionAngle=radians(30),density=2600.0')

Thanks,
Seti

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