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[Bruno Chareyre <1663899@xxxxxxxxxxxxxxxxxx>]

Hi, what you describe in #2 sounds ok, in principle.
Since there are many other changes compared to the original script I can't tell if this is really the origin of your problem.
You may try to start again from the original script and re-apply each change to see when the problem appears.
B

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https://bugs.launchpad.net/bugs/1663899

Title:
  SetCohesionNow & setCohesionOnNewContacts /triaxial test

Status in Yade:
  New

Bug description:
  Hello all,

  can I turn on setCohesionNow, setCohesionOnNewContacts in triaxial
  test as well? if yes, why I set these parameters the porosity &
  friction does not change and I face with below error? while without
  these consideration code works.

   "Friction: 33.25 porosity: 1.0python: malloc.c:3720: _int_malloc: Assertion `(unsigned long) (size) >= (unsigned long) (nb)' failed.
  Aborted (core dumped)"

  the triaxial script is not different from the original one, I just
  copy it here if you need to know about the inputs.

  Thanks,
  Seti

  from yade import pack,plot

  ############################################
  ### DEFINING VARIABLES AND MATERIALS ###
  ############################################

  # The following 5 lines will be used later for batch execution
  nRead=readParamsFromTable(
   num_spheres=1000,# number of spheres
   compFricDegree =35, # contact friction during the confining phase
   key='_triax_base_', # put you simulation's name here
   unknownOk=True
  )
  from yade.params import table

  num_spheres=table.num_spheres# number of spheres
  key=table.key
  targetPorosity = 0.42 #the porosity we want for the packing
  compFricDegree = table.compFricDegree # initial contact friction during the confining phase (will be decreased during the REFD compaction process)
  finalFricDegree = 35# contact friction during the deviatoric loading
  rate=-0.005 # loading rate (strain rate)
  damp=0.3 # damping coefficient
  stabilityThreshold=0.01 # we test unbalancedForce against this value in different loops (see below)
  young=100e6# contact stiffness
  mn,mx=Vector3(0,0,0),Vector3(0.09,0.18,0.09) # corners of the initial packing

  ## create materials for spheres and plates
  O.materials.append(CohFrictMat(alphaKr=0.5,young=young,poisson=0.09,frictionAngle=radians(33.5),normalCohesion=7.5e3,shearCohesion=2.25e3,momentRotationLaw=True,etaRoll=0.001,density=2600,isCohesive=True,label='spheres'))
  O.materials.append(CohFrictMat(young=young,poisson=0,frictionAngle=radians(0),density=0,label='walls'))

  ## create walls around the packing
  walls=aabbWalls([mn,mx],thickness=0,material='walls')
  wallIds=O.bodies.append(walls)

  ## use a SpherePack object to generate a random loose particles packing
  sp=pack.SpherePack()

  clumps=False #turn this true for the same example with clumps
  if clumps:
   ## approximate mean rad of the futur dense packing for latter use
   volume = (mx[0]-mn[0])*(mx[1]-mn[1])*(mx[2]-mn[2])
   mean_rad = pow(0.09*volume/num_spheres,0.3333)
   ## define a unique clump type (we could have many, see clumpCloud documentation)
   c1=pack.SpherePack([((-0.2*mean_rad,0,0),0.5*mean_rad),((0.2*mean_rad,0,0),0.5*mean_rad)])
   ## generate positions and input them in the simulation
   sp.makeClumpCloud(mn,mx,[c1],periodic=False)
   sp.toSimulation(material='spheres')
   O.bodies.updateClumpProperties()#get more accurate clump masses/volumes/inertia
  else:
   sp.makeCloud(mn,mx,-1,0,num_spheres,False, 0.95,seed=1) #"seed" make the "random" generation always the same
   #sp.makeCloud(mn,mx,0.066,num_spheres) #"seed" make the "random" generation always the same
   O.bodies.append([sphere(center,rad,material='spheres') for center,rad in sp])
   #or alternatively (higher level function doing exactly the same):
   #sp.toSimulation(material='spheres')

  ############################
  ### DEFINING ENGINES ###
  ############################

  triax=TriaxialStressController(
   ## TriaxialStressController will be used to control stress and strain. It controls particles size and plates positions.
   ## this control of boundary conditions was used for instance in http://dx.doi.org/10.1016/j.ijengsci.2008.07.002
   maxMultiplier=1.+2e4/young, # spheres growing factor (fast growth)
   finalMaxMultiplier=1.+2e3/young, # spheres growing factor (slow growth)
   thickness = 0,
   ## switch stress/strain control using a bitmask. What is a bitmask, huh?!
   ## Say x=1 if stess is controlled on x, else x=0. Same for for y and z, which are 1 or 0.
   ## Then an integer uniquely defining the combination of all these tests is: mask = x*1 + y*2 + z*4
   ## to put it differently, the mask is the integer whose binary representation is xyz, i.e.
   ## "100" (1) means "x", "110" (3) means "x and y", "111" (7) means "x and y and z", etc.
   stressMask = 7,
   internalCompaction=True, # If true the confining pressure is generated by growing particles
  )

  newton=NewtonIntegrator(damping=damp)
  ########################################
  #Modified engine
  ##################################
  O.engines=[
          ForceResetter(),
          InsertionSortCollider([Bo1_Sphere_Aabb(),Bo1_Box_Aabb()]),
          InteractionLoop(
                  [Ig2_Sphere_Sphere_ScGeom(),Ig2_Box_Sphere_ScGeom()],
                  [Ip2_FrictMat_FrictMat_FrictPhys (),Ip2_CohFrictMat_CohFrictMat_CohFrictPhys(setCohesionNow = True, setCohesionOnNewContacts = True,label="cohesiveIp")],
                  [Law2_ScGeom_FrictPhys_CundallStrack(),Law2_ScGeom_CohFrictPhys_CohesionMoment(
     useIncrementalForm=True, #useIncrementalForm is turned on as we want plasticity on the contact moments
     always_use_moment_law=False, #if we want "rolling" friction even if the contact is not cohesive (or cohesion is broken), we will have to turn this true somewhere
     label='cohesiveLaw')]
          ),
          ## We will use the global stiffness of each body to determine an optimal timestep (see https://yade-dem.org/w/images/1/1b/Chareyre&Villard2005_licensed.pdf)
          GlobalStiffnessTimeStepper(active=1,timeStepUpdateInterval=100,timestepSafetyCoefficient=0.8),
          triax,
          TriaxialStateRecorder(iterPeriod=100,file='150,damp0.8,rate 0.005,NEW50,alphaKr=0.5,young=100e6,poisson=0.09,frictionAngle=radians(50),normalCohesion=7.5e10,shearCohesion=2.25e10,etaRoll=0.025,density=2600,wall35,'+key),
          newton
  ]
  ##########################################################
  #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()]
   #),
   ## We will use the global stiffness of each body to determine an optimal timestep (see https://yade-dem.org/w/images/1/1b/Chareyre&Villard2005_licensed.pdf)
   #GlobalStiffnessTimeStepper(active=1,timeStepUpdateInterval=100,timestepSafetyCoefficient=0.8),
   #triax,
   #TriaxialStateRecorder(iterPeriod=100,file='WallStresses'+table.key),
   #newton
  #]
  #############################
  #Display spheres with 2 colors for seeing rotations better
  Gl1_Sphere.stripes=0
  if nRead==0: yade.qt.Controller(), yade.qt.View()

  ## UNCOMMENT THE FOLLOWING SECTIONS ONE BY ONE
  ## DEPENDING ON YOUR EDITOR, IT COULD BE DONE
  ## BY SELECTING THE CODE BLOCKS BETWEEN THE SUBTITLES
  ## AND PRESSING CTRL+SHIFT+D
  #if nRead==0: yade.qt.Controller(), yade.qt.View()
  print 'Number of elements: ', len(O.bodies)
  print 'Box Volume: ', triax.boxVolume
  #######################################
  ### APPLYING CONFINING PRESSURE ###
  #######################################

  #the value of (isotropic) confining stress defines the target stress to be applied in all three directions
  triax.goal1=triax.goal2=triax.goal3=-150000

  #while 1:
    #O.run(1000, True)
    ##the global unbalanced force on dynamic bodies, thus excluding boundaries, which are not at equilibrium
    #unb=unbalancedForce()
    #print 'unbalanced force:',unb,' mean stress: ',triax.meanStress
    #if unb<stabilityThreshold and abs(-10000-triax.meanStress)/10000<0.001:
      #break

  #O.save('confinedState'+key+'.yade.gz')
  #print "### Isotropic state saved ###"

  ###################################################
  ### REACHING A SPECIFIED POROSITY PRECISELY ###
  ###################################################

  ### We will reach a prescribed value of porosity with the REFD algorithm
  ### (see http://dx.doi.org/10.2516/ogst/2012032 and
  ### http://www.geosyntheticssociety.org/Resources/Archive/GI/src/V9I2/GI-V9-N2-Paper1.pdf)

  import sys #this is only for the flush() below
  while triax.porosity>targetPorosity:
   ## we decrease friction value and apply it to all the bodies and contacts
   compFricDegree = 0.95*compFricDegree
   setContactFriction(radians(compFricDegree))
   print "\r Friction: ",compFricDegree," porosity:",triax.porosity,
   sys.stdout.flush()
   ## while we run steps, triax will tend to grow particles as the packing
   ## keeps shrinking as a consequence of decreasing friction. Consequently
   ## porosity will decrease
   O.run(500,1)

  O.save('compactedStateBEL20,young=63.9e8'+key+'.yade.gz')
  print "### Compacted state saved ###"

  ##############################
  ### DEVIATORIC LOADING ###
  ##############################

  ##We move to deviatoric loading, let us turn internal compaction off to keep particles sizes constant
  triax.internalCompaction=False

  ## Change contact friction (remember that decreasing it would generate instantaneous instabilities)
  setContactFriction(radians(finalFricDegree))

  ##set stress control on x and z, we will impose strain rate on y
  triax.stressMask = 5
  ##now goal2 is the target strain rate
  triax.goal2=rate
  ## we define the lateral stresses during the test, here the same 10kPa as for the initial confinement.
  triax.goal1=-150000
  triax.goal3=-150000

  ##we can change damping here. What is the effect in your opinion?
  newton.damping=0.1

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