xcr *= GRIDSPC
ycr *= GRIDSPC
zcr *= GRIDSPC
radii *= GRIDSPC
MAT = pss.mat_assignment(mats,xcr,ycr)
DMY = np.zeros_like(xcoords)
A,B = pss.part_distance(xcr,ycr,radii,MAT,False)
print "The Contacts Measure, A = {}".format(A)
print "Avg Contacts Between the Same Materials, B = {}".format(B)
print 'Total contacts between same materials = {}, Total particles = {}'.format(B*J,J)
ALL = np.column_stack((MAT,xcr,ycr,radii))
pss.populate_materials(I_shape,XINT,YINT,MAT,J,TRACERS=True,ON=J_shape) # Now populate the materials meshes (NB these are different to the 'mesh' and are
pss.save_spherical_parts(xcr,ycr,radii,MAT,A)
print 'save to meso_A-{:3.4f}.iSALE'.format(A)
pss.save_general_mesh(tracers=True)
A2, contact_matrix = pss.discrete_contacts_number(I_shape,XINT,YINT,J,J_shape)
print '\n'
print "A and A2 are:", A, A2
print '\n'
timestr = time.strftime('%d-%m-%Y_%H-%M-%S')
#np.savetxt('{}cppr_{}vfrlim_A{:1.3f}_{}.iSALE'.format(cppr,vfraclimit,A,timestr),ALL)
placed_part_area = np.array(placed_part_area)
print "total particles placed: {}".format(J)
vol_frac_calc = np.sum(placed_part_area)/(pss.meshx*pss.meshy)
except KeyboardInterrupt:
pass
I_shape = np.array(
I_) # Convert the lists of index, shape number, and coordinates to arrays
J_shape = np.array(J_)
xcSI = np.array(xc)
ycSI = np.array(yc)
xcSI *= GRIDSPC # Turn the coordinates into physical units
ycSI *= GRIDSPC
MAT = pss.mat_assignment(
pss.mats[1:], xcSI, ycSI
) # Assign materials to the particles. This returns an array that is the same shape as xc,
# and contains the optimum corresponding material number for each particle
pss.populate_materials(
I_, xc, yc, MAT, J
) # Now populate the materials meshes (NB these are different to the 'mesh' and are
# the ones used in the actual iSALE input file)
pss.fill_rectangle(0, 0, pss.meshx * GRIDSPC, pss.meshy * GRIDSPC, pss.mats[0])
# pySALESetup prioritises material placed sooner. So later things will NOT overwrite previous ones
pss.save_general_mesh() # Save the mesh as meso_m.iSALE (default)
plt.figure() # plot the resulting mesh. Skip this bit if you do not need to.
for KK in range(pss.Ms):
matter = np.copy(pss.materials[KK, :, :]) * (KK + 1)
matter = np.ma.masked_where(matter == 0., matter)
plt.imshow(matter,
cmap='viridis',
vmin=0,
vmax=pss.Ms,
xcr *= GRIDSPC
ycr *= GRIDSPC
zcr *= GRIDSPC
radii *= GRIDSPC
MAT = pss.mat_assignment(mats, xcr, ycr)
DMY = np.zeros_like(xcoords)
A, B = pss.part_distance(xcr, ycr, radii, MAT, False)
print "The Contacts Measure, A = {}".format(A)
print "Avg Contacts Between the Same Materials, B = {}".format(B)
print 'Total contacts between same materials = {}, Total particles = {}'.format(
B * J, J)
ALL = np.column_stack((MAT, xcr, ycr, radii))
pss.populate_materials(
I_shape, XINT, YINT, MAT, J, TRACERS=True, ON=J_shape
) # Now populate the materials meshes (NB these are different to the 'mesh' and are
#pss.save_spherical_parts(xcr,ycr,radii,MAT,A)
print 'save to meso_A-{:3.4f}.iSALE'.format(A)
pss.save_general_mesh(tracers=True)
A2, contact_matrix = pss.discrete_contacts_number(I_shape, XINT, YINT, J,
J_shape)
print '\n'
print "A and A2 are:", A, A2
print '\n'
timestr = time.strftime('%d-%m-%Y_%H-%M-%S')
#np.savetxt('{}cppr_{}vfrlim_A{:1.3f}_{}.iSALE'.format(cppr,vfraclimit,A,timestr),ALL)
placed_part_area = np.array(placed_part_area)
print "total particles placed: {}".format(J)
vol_frac_calc = np.sum(placed_part_area) / (pss.meshx * pss.meshy)
break
old_vfrac = vf_pld
print "volume fraction achieved so far: {:3.3f}%".format(vf_pld*100)
except KeyboardInterrupt:
pass
I_shape = np.array(I_) # Convert the lists of index, shape number, and coordinates to arrays
J_shape = np.array(J_)
xcSI = np.array(xc)
ycSI = np.array(yc)
xcSI*= GRIDSPC # Turn the coordinates into physical units
ycSI*= GRIDSPC
MAT = pss.mat_assignment(pss.mats[1:],xcSI,ycSI) # Assign materials to the particles. This returns an array that is the same shape as xc,
# and contains the optimum corresponding material number for each particle
pss.populate_materials(I_,xc,yc,MAT,J) # Now populate the materials meshes (NB these are different to the 'mesh' and are
# the ones used in the actual iSALE input file)
pss.fill_rectangle(0,0,pss.meshx*GRIDSPC,pss.meshy*GRIDSPC,pss.mats[0])
# pySALESetup prioritises material placed sooner. So later things will NOT overwrite previous ones
pss.save_general_mesh() # Save the mesh as meso_m.iSALE (default)
plt.figure() # plot the resulting mesh. Skip this bit if you do not need to.
for KK in range(pss.Ms):
matter = np.copy(pss.materials[KK,:,:])*(KK+1)
matter = np.ma.masked_where(matter==0.,matter)
plt.imshow(matter, cmap='viridis',vmin=0,vmax=pss.Ms,interpolation='nearest')
matter = np.copy(pss.materials[pss.Ms-1,:,:])*(pss.Ms)
matter = np.ma.masked_where(matter==0.,matter)