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Message #13094
[Bug 1687355] Re: FlowEngine + compressible flow + multithread does not work
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https://bugs.launchpad.net/bugs/1687355
Title:
FlowEngine + compressible flow + multithread does not work
Status in Yade:
Fix Committed
Bug description:
Hello yade community,
I've noticed that multithread does not work with the compressible flow
scheme [4]. My debugging points to [1] where we are setting up the
system of linear equations. For the compressible scheme, we need the
cell volumes initialized to build our system of linear equations. The
multithreading option builds a new backgroundSolver and sets the
system of linear equations[2]. However, the buildTriangulation
function[3] does not initialize volumes so, so we end up setting up a
bad system of equations in the backgroundSolver.
I think the solution is pretty simple, we need to initialize volumes
in buildTriangulation if compressible flow+multithread are on:
if (multithread && fluidBulkModulus>0) initializeVolumes(flow);
I tested this to make sure the results are accurate by comparing
oedometer.py results produced by singlethread+compressible mode and
multithread+compressible. Will this have any negative impacts on other
flowengines? Or can I go ahead and push this to the trunk?
Cheers,
Robert
[1]https://github.com/yade/trunk/blob/a3e2b37fea3859a210dd1bddcfed9ab6a5085105/lib/triangulation/FlowBoundingSphereLinSolv.ipp#L205
[2]https://github.com/yade/trunk/blob/a3e2b37fea3859a210dd1bddcfed9ab6a5085105/pkg/pfv/FlowEngine.ipp.in#L149
[3]https://github.com/yade/trunk/blob/a3e2b37fea3859a210dd1bddcfed9ab6a5085105/pkg/pfv/FlowEngine.ipp.in#L252
[4]
mwe.py (multi-threaded oedometer.py with compressible flow on/off to show incorrect pressure) :
# -*- coding: utf-8 -*-
#*************************************************************************
# Copyright (C) 2010 by Bruno Chareyre *
# bruno.chareyre_at_grenoble-inp.fr *
# *
# This program is free software; it is licensed under the terms of the *
# GNU General Public License v2 or later. See file LICENSE for details. *
#*************************************************************************/
## Example script for using the DEM-PFV coupling introduced with E. Catalano, as reported in:
## * [Chareyre2012a] Chareyre, B., Cortis, A., Catalano, E., Barthélemy, E. (2012), Pore-scale modeling of viscous flow and induced forces in dense sphere packings. Transport in Porous Media (92), pages 473-493. DOI 10.1007/s11242-011-9915-6
## http://dx.doi.org/10.1007/s11242-011-9915-6
## * [Catalano2014a] Catalano, E., Chareyre, B., Barthélémy, E. (2013), Pore-scale modeling of fluid-particles interaction and emerging poromechanical effects. International Journal for Numerical and Analytical Methods in Geomechanics. DOI 10.1002/nag.2198
## http://arxiv.org/pdf/1304.4895.pdf
## Also used in:
## * Tong et al.2012 (http://dx.doi.org/10.2516/ogst/2012032)
## * Sari et al 2011 (http://people.3sr-grenoble.fr/users/bchareyre/pubs/SariChareyreCatalanoPhilippeVincens_Particles2011.pdf)
## The DEM-PFV is applied here to 1D consolidation (oedometer test). The example includes the determination of oedometer modulus Ee and permeability K.
## The 1D consolidation is simulated as a coupled problem and the analytical solution corresponding to the abovementionned Ee and K is used for comparison.
## See triax-tutorial/script-session1.py for more detailed explanations of the packing generation procedure.
## ______________ First section, similar to triax-tutorial/script-session1.py _________________
from yade import pack
num_spheres=1000# number of spheres
young=1e6
compFricDegree = 3 # initial contact friction during the confining phase
finalFricDegree = 30 # contact friction during the deviatoric loading
mn,mx=Vector3(0,0,0),Vector3(1,1,1) # corners of the initial packing
O.materials.append(FrictMat(young=young,poisson=0.5,frictionAngle=radians(compFricDegree),density=2600,label='spheres'))
O.materials.append(FrictMat(young=young,poisson=0.5,frictionAngle=0,density=0,label='walls'))
walls=aabbWalls([mn,mx],thickness=0,material='walls')
wallIds=O.bodies.append(walls)
sp=pack.SpherePack()
sp.makeCloud(mn,mx,-1,0.3333,num_spheres,False, 0.95,seed=1) #"seed" make the "random" generation always the same
sp.toSimulation(material='spheres')
triax=TriaxialStressController(
maxMultiplier=1.+2e4/young, # spheres growing factor (fast growth)
finalMaxMultiplier=1.+2e3/young, # spheres growing factor (slow growth)
thickness = 0,
stressMask = 7,
max_vel = 0.005,
internalCompaction=True, # If true the confining pressure is generated by growing particles
)
newton=NewtonIntegrator(damping=0.2)
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()],label="iloop"
),
FlowEngine(dead=1,label="flow", multithread=True),#introduced as a dead engine for the moment, see 2nd section
GlobalStiffnessTimeStepper(active=1,timeStepUpdateInterval=100,timestepSafetyCoefficient=0.8),
triax,
newton
]
triax.goal1=triax.goal2=triax.goal3=-10000
while 1:
O.run(1000, True)
unb=unbalancedForce()
if unb<0.001 and abs(-10000-triax.meanStress)/10000<0.001:
break
setContactFriction(radians(finalFricDegree))
## ______________ Oedometer section _________________
#A. Check bulk modulus of the dry material from load/unload cycles
triax.stressMask=2
triax.goal1=triax.goal3=0
triax.internalCompaction=False
triax.wall_bottom_activated=False
#load
triax.goal2=-11000; O.run(2000,1)
#unload
triax.goal2=-10000; O.run(2000,1)
#load
triax.goal2=-11000; O.run(2000,1)
e22=triax.strain[1]
#unload
triax.goal2=-10000; O.run(2000,1)
e22=e22-triax.strain[1]
modulus = 1000./abs(e22)
#B. Activate flow engine and set boundary conditions in order to get permeability
flow.dead=0
flow.defTolerance=0.3
flow.meshUpdateInterval=200
flow.useSolver=3
flow.permeabilityFactor=1
flow.viscosity=10
flow.fluidBulkModulus = 2.2e9
flow.bndCondIsPressure=[0,0,1,1,0,0]
flow.bndCondValue=[0,0,1,0,0,0]
flow.boundaryUseMaxMin=[0,0,0,0,0,0]
O.dt=0.1e-3
O.dynDt=False
O.run(1,1)
Qin = flow.getBoundaryFlux(2)
Qout = flow.getBoundaryFlux(3)
permeability = abs(Qin)/1.e-4 #size is one, we compute K=V/∇H
print "Qin=",Qin," Qout=",Qout," permeability=",permeability
#C. now the oedometer test, drained at the top, impermeable at the bottom plate
flow.bndCondIsPressure=[0,0,0,1,0,0]
flow.bndCondValue=[0,0,0,0,0,0]
newton.damping=0
#we want the theoretical value from Terzaghi's solution
#keep in mind that we are not in an homogeneous material and the small strain
#assumption is not verified => we don't expect perfect match
#there can be also an overshoot of pressure in the very beginning due to dynamic effects
Cv=permeability*modulus/1e4
zeroTime=O.time
zeroe22 = - triax.strain[1]
dryFraction=0.05 #the top layer is affected by drainage on a certain depth, we account for it here
drye22 = 1000/modulus*dryFraction
wetHeight=1*(1-dryFraction)
def consolidation(Tv): #see your soil mechanics handbook...
U=1
for k in range(50):
M=pi/2*(2*k+1)
U=U-2/M**2*exp(-M**2*Tv)
return U
triax.goal2=-11000
from yade import plot
## a function saving variables
def history():
plot.addData(e22=-triax.strain[1]-zeroe22,e22_theory=drye22+(1-dryFraction)*consolidation((O.time-zeroTime)*Cv/wetHeight**2)*1000./modulus,t=O.time,p=flow.getPorePressure((0.5,0.1,0.5)),s22=-triax.stress(3)[1]-10000)
#plot.addData(e22=-triax.strain[1],t=O.time,s22=-triax.stress(2)[1],p=flow.MeasurePorePressure((0.5,0.5,0.5)))
O.engines=O.engines+[PyRunner(iterPeriod=200,command='history()',label='recorder')]
##make nice animations:
#O.engines=O.engines+[PyRunner(iterPeriod=200,command='flow.saveVtk()')]
from yade import plot
plot.plots={'t':('s22','p')}
plot.plot()
O.saveTmp()
O.timingEnabled=1
from yade import timing
print "starting oedometer simulation"
O.run(200,1)
timing.stats()
## Make more steps to see the convergence to the stationnary solution
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