Question #676326 on Yade changed:
https://answers.launchpad.net/yade/+question/676326
Status: Answered => Open
kalogeropoulos is still having a problem:
Thank you a lot Jan Stránský (honzik).
Well i need to make a parametric analysis of how random generation of
spherical elements influence the force during the rock cutting
simulatio, so i must rewrite the function.
i make that but it doesnt run.
The code with the seed:
def
randomDensePack(predicate,radius,material=-1,dim=None,cropLayers=0,rRelFuzz=0.,spheresInCell=0,memoizeDb=None,useOBB=False,memoDbg=False,color=None,seed=0,returnSpherePack=None):
"""Generator of random dense packing with given geometry properties, using
TriaxialTest (aperiodic)
or PeriIsoCompressor (periodic). The periodicity depens on whether the
spheresInCell parameter is given.
*O.switchScene()* magic is used to have clean simulation for TriaxialTest
without deleting the original simulation.
This function therefore should never run in parallel with some code
accessing your simulation.
:param predicate: solid-defining predicate for which we generate packing
:param spheresInCell: if given, the packing will be periodic, with given
number of spheres in the periodic cell.
:param radius: mean radius of spheres
:param rRelFuzz: relative fuzz of the radius -- e.g. radius=10, rRelFuzz=.2,
then spheres will have radii 10 ± (10*.2)), with an uniform distribution.
0 by default, meaning all spheres will have exactly the same radius.
:param cropLayers: (aperiodic only) how many layers of spheres will be added
to the computed dimension of the box so that there no
(or not so much, at least) boundary effects at the boundaries of the
predicate.
:param dim: dimension of the packing, to override dimensions of the
predicate (if it is infinite, for instance)
:param memoizeDb: name of sqlite database (existent or nonexistent) to find
an already generated packing or to store
the packing that will be generated, if not found (the technique of
caching results of expensive computations
is known as memoization). Fuzzy matching is used to select suitable
candidate -- packing will be scaled, rRelFuzz
and dimensions compared. Packing that are too small are dictarded. From
the remaining candidate, the one with the
least number spheres will be loaded and returned.
:param useOBB: effective only if a inGtsSurface predicate is given. If true
(not default), oriented bounding box will be
computed first; it can reduce substantially number of spheres for the
triaxial compression (like 10× depending on
how much asymmetric the body is), see
examples/gts-horse/gts-random-pack-obb.py
:param memoDbg: show packings that are considered and reasons why they are
rejected/accepted
:param returnSpherePack: see the corresponding argument in
:yref:`yade.pack.filterSpherePack`
:return: SpherePack object with spheres, filtered by the predicate.
"""
import sqlite3, os.path, cPickle, time, sys, _packPredicates, numpy
from math import pi
wantPeri=(spheresInCell>0)
if 'inGtsSurface' in dir(_packPredicates) and type(predicate)==inGtsSurface
and useOBB:
center,dim,orientation=gtsSurfaceBestFitOBB(predicate.surf)
print "Best-fit oriented-bounding-box computed for GTS surface,
orientation is",orientation
dim*=2 # gtsSurfaceBestFitOBB returns halfSize
else:
if not dim: dim=predicate.dim()
if max(dim)==float('inf'): raise RuntimeError("Infinite predicate and no
dimension of packing requested.")
center=predicate.center()
orientation=None
if not wantPeri: fullDim=tuple([dim[i]+4*cropLayers*radius for i in 0,1,2])
else:
# compute cell dimensions now, as they will be compared to ones stored in
the db
# they have to be adjusted to not make the cell to small WRT particle
radius
fullDim=dim
cloudPorosity=0.25 # assume this number for the initial cloud (can be
underestimated)
beta,gamma=fullDim[1]/fullDim[0],fullDim[2]/fullDim[0] # ratios β=y₀/x₀,
γ=z₀/x₀
N100=spheresInCell/cloudPorosity # number of spheres for cell being
filled by spheres without porosity
x1=radius*(1/(beta*gamma)*N100*(4/3.)*pi)**(1/3.)
y1,z1=beta*x1,gamma*x1; vol0=x1*y1*z1
maxR=radius*(1+rRelFuzz)
x1=max(x1,8*maxR); y1=max(y1,8*maxR); z1=max(z1,8*maxR); vol1=x1*y1*z1
N100*=vol1/vol0 # volume might have been increased, increase number of
spheres to keep porosity the same
sp=_getMemoizedPacking(memoizeDb,radius,rRelFuzz,x1,y1,z1,fullDim,wantPeri,fillPeriodic=True,spheresInCell=spheresInCell,memoDbg=False)
if sp:
if orientation:
sp.cellSize=(0,0,0) # resetting cellSize avoids warning when
rotating
sp.rotate(*orientation.toAxisAngle())
return
filterSpherePack(predicate,sp,material=material,returnSpherePack=returnSpherePack)
else: print "No suitable packing in database found, running",'PERIODIC
compression' if wantPeri else 'triaxial'
sys.stdout.flush()
O.switchScene(); O.resetThisScene() ### !!
if wantPeri:
# x1,y1,z1 already computed above
sp=SpherePack()
O.periodic=True
#O.cell.refSize=(x1,y1,z1)
O.cell.setBox((x1,y1,z1))
#print cloudPorosity,beta,gamma,N100,x1,y1,z1,O.cell.refSize
#print x1,y1,z1,radius,rRelFuzz
O.materials.append(FrictMat(young=3e10,density=2400))
num=sp.makeCloud(Vector3().Zero,O.cell.refSize,radius,rRelFuzz,spheresInCell,True,seed=seed)
O.engines=[ForceResetter(),InsertionSortCollider([Bo1_Sphere_Aabb()],verletDist=.05*radius),InteractionLoop([Ig2_Sphere_Sphere_ScGeom()],[Ip2_FrictMat_FrictMat_FrictPhys()],[Law2_ScGeom_FrictPhys_CundallStrack()]),PeriIsoCompressor(charLen=2*radius,stresses=[-100e9,-1e8],maxUnbalanced=1e-2,doneHook='O.pause();',globalUpdateInt=5,keepProportions=True),NewtonIntegrator(damping=.6)]
O.materials.append(FrictMat(young=30e9,frictionAngle=.5,poisson=.3,density=1e3))
for s in sp: O.bodies.append(utils.sphere(s[0],s[1]))
O.dt=utils.PWaveTimeStep()
O.run(); O.wait()
sp=SpherePack(); sp.fromSimulation()
#print 'Resulting
cellSize',sp.cellSize,'proportions',sp.cellSize[1]/sp.cellSize[0],sp.cellSize[2]/sp.cellSize[0]
# repetition to the required cell size will be done below, after
memoizing the result
else:
assumedFinalDensity=0.6
V=(4.0/3.0)*pi*radius**3.0;
N=assumedFinalDensity*fullDim[0]*fullDim[1]*fullDim[2]/V;
TriaxialTest(
numberOfGrains=int(N),radiusMean=radius,radiusStdDev=rRelFuzz,
# upperCorner is just size ratio, if radiusMean is specified
upperCorner=fullDim,
## no need to touch any the following
noFiles=True,lowerCorner=[0,0,0],sigmaIsoCompaction=-1e7,sigmaLateralConfinement=-1e5,compactionFrictionDeg=1,StabilityCriterion=.05,strainRate=.2,thickness=-1,maxWallVelocity=.1,wallOversizeFactor=1.5,autoUnload=True,autoCompressionActivation=False).load()
while ( numpy.isnan(utils.unbalancedForce()) or
utils.unbalancedForce()>0.005 ) :
O.run(100,True)
sp=SpherePack(); sp.fromSimulation()
O.switchScene() ### !!
_memoizePacking(memoizeDb,sp,radius,rRelFuzz,wantPeri,fullDim)
if wantPeri: sp.cellFill(Vector3(fullDim[0],fullDim[1],fullDim[2]))
if orientation:
sp.cellSize=(0,0,0); # reset periodicity to avoid warning when rotating
periodic packing
sp.rotate(*orientation.toAxisAngle())
return
filterSpherePack(predicate,sp,material=material,color=color,returnSpherePack=returnSpherePack)
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