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DAMASK_EICMD
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prefill immutable indices with closest mutable one 

Retain only orginially immutable locations, not those where immutability bled into.
Changed threshold for change from 0.5 to 0.95 of max diffusedEnergy.
This commit is contained in:
Philip Eisenlohr 2016-12-08 09:47:20 -05:00
parent 67457b9c65
commit c8f321356d
1 changed files with 13 additions and 4 deletions
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17
processing/pre/geom_grainGrowth.py
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@ -109,6 +109,15 @@ for name in filenames:
for smoothIter in range(options.N):
# replace immutable microstructures with closest mutable ones
index = ndimage.morphology.distance_transform_edt(np.in1d(microstructure,options.immutable).reshape(grid),
return_distances = False,
return_indices = True)
microstructure = microstructure[index[0],
index[1],
index[2]]
interfaceEnergy = np.zeros(microstructure.shape)
for i in (-1,0,1):
for j in (-1,0,1):
@ -146,7 +155,7 @@ for name in filenames:
np.where(
ndimage.morphology.binary_dilation(interfaceEnergy > 0.,
structure = struc,
iterations = int(round(options.d*2.))),# fat boundary
iterations = int(round(options.d*2.))-1),# fat boundary
periodic_bulkEnergy[grid[0]/2:-grid[0]/2, # retain filled energy on fat boundary...
grid[1]/2:-grid[1]/2,
grid[2]/2:-grid[2]/2], # ...and zero everywhere else
@ -158,7 +167,7 @@ for name in filenames:
# transform voxels close to interface region
index = ndimage.morphology.distance_transform_edt(periodic_diffusedEnergy >= 0.5*np.amax(periodic_diffusedEnergy),
index = ndimage.morphology.distance_transform_edt(periodic_diffusedEnergy >= 0.95*np.amax(periodic_diffusedEnergy),
return_distances = False,
return_indices = True) # want index of closest bulk grain
@ -173,9 +182,9 @@ for name in filenames:
grid[2]/2:-grid[2]/2] # extent grains into interface region
immutable = np.zeros(microstructure.shape, dtype=bool)
# find locations where immutable microstructures have been or are now
# find locations where immutable microstructures have been (or are now)
for micro in options.immutable:
immutable += np.logical_or(microstructure == micro, microstructure_original == micro)
immutable += microstructure_original == micro
# undo any changes involving immutable microstructures
microstructure = np.where(immutable, microstructure_original,microstructure)