now assuming periodic microstructures (was not fully correct before, assuming non-periodicity)
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@ -154,46 +154,51 @@ for file in files:
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i += s
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#--- reshape, if 2D make copy ---------------------------------------------------------------------
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nMicrostuctures = numpy.prod([2 if i == 1 else i for i in info['grid']])
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expandedGrid = numpy.array([2 if i == 1 else i for i in info['grid']],'i')
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nMicrostuctures = numpy.prod(expandedGrid)
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if nMicrostuctures > info['grid'].prod():
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microstructure[info['grid'].prod():nMicrostuctures] = microstructure[0:info['grid'].prod()]
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microstructure = microstructure.reshape([2 if i == 1 else i for i in info['grid']],order='F')
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grid = numpy.array([2 if i == 1 else i for i in info['grid']],'i')
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#--- domain decomposition -------------------------------------------------------------------------
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stride = numpy.array([2 if i == 1 else i for i in info['grid']],'i')
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if numpy.any(numpy.floor(stride) != stride):
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file['croak'].write('invalid domain decomposition.\n')
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continue
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#--- initialize helper data -----------------------------------------------------------------------
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window = 0
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X,Y,Z = numpy.mgrid[0:stride[0]+2*window,0:stride[1]+2*window,0:stride[2]+2*window]
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X,Y,Z = numpy.mgrid[0:expandedGrid[0],0:expandedGrid[1],0:expandedGrid[2]]
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gauss = numpy.exp(-(X*X+Y*Y+Z*Z)/(2.0*options.d*options.d))/math.pow(2.0*numpy.pi*options.d*options.d,1.5)
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gauss[:,:,(stride[2]+2*window)/2::] = gauss[:,:,(stride[2]+2*window)/2-1::-1]
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gauss[:,(stride[1]+2*window)/2::,:] = gauss[:,(stride[1]+2*window)/2-1::-1,:]
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gauss[(stride[0]+2*window)/2::,:,:] = gauss[(stride[0]+2*window)/2-1::-1,:,:]
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gauss[:,:,(expandedGrid[2])/2::] = gauss[:,:,(expandedGrid[2])/2-1::-1]
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gauss[:,(expandedGrid[1])/2::,:] = gauss[:,(expandedGrid[1])/2-1::-1,:]
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gauss[(expandedGrid[0])/2::,:,:] = gauss[(expandedGrid[0])/2-1::-1,:,:]
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gauss = numpy.fft.rfftn(gauss)
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interfacialEnergy = lambda A,B: (A*B != 0)*(A != B)*1.0
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struc = ndimage.generate_binary_structure(3,1)
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for smoothIter in xrange(options.N):
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interfacialEnergy = lambda A,B: (A*B != 0)*(A != B)*1.0
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struc = ndimage.generate_binary_structure(3,1)
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microExt = numpy.zeros([microstructure.shape[0]+2,microstructure.shape[1]+2,microstructure.shape[2]+2])
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microExt[1:-1,1:-1,1:-1] = microstructure
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boundary = numpy.zeros(microstructure.shape)
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for i in range(3):
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for j in range(3):
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for k in range(3):
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boundary = numpy.maximum(boundary,
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interfacialEnergy(microstructure,microExt[i:microstructure.shape[0]+i,
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j:microstructure.shape[1]+j,
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k:microstructure.shape[2]+k]))
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interfacialEnergy(microstructure,numpy.roll(numpy.roll(numpy.roll(
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microstructure,i-1,axis=0),j-1,axis=1),k-1,axis=2)))
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index = ndimage.morphology.distance_transform_edt(boundary == 0.,return_distances = False,return_indices = True)
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boundary = numpy.fft.irfftn(numpy.fft.rfftn(numpy.where(ndimage.morphology.binary_dilation(boundary != 0.,
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structure = struc,
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iterations = 2*options.d-1),
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boundary[index[0].flatten(),index[1].flatten(),index[2].flatten()].reshape(microstructure.shape),
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0.))*gauss)
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index = ndimage.morphology.distance_transform_edt(boundary >= 0.5,return_distances=False,return_indices=True)
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microstructure = microstructure[index[0].flatten(),index[1].flatten(),index[2].flatten()].reshape(microstructure.shape)
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0.))*gauss)
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boundaryExt = numpy.tile(boundary,(3,3,3))
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boundaryExt = boundaryExt[(expandedGrid[0])/2:-(expandedGrid[0])/2,
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(expandedGrid[1])/2:-(expandedGrid[1])/2,
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(expandedGrid[2])/2:-(expandedGrid[2])/2]
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microstructureExt = numpy.tile(microstructure,(3,3,3))
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microstructureExt = microstructureExt[(expandedGrid[0])/2:-(expandedGrid[0])/2,
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(expandedGrid[1])/2:-(expandedGrid[1])/2,
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(expandedGrid[2])/2:-(expandedGrid[2])/2]
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index = ndimage.morphology.distance_transform_edt(boundaryExt >= 0.5,return_distances=False,return_indices=True)
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microstructureExt = microstructureExt[index[0].flatten(),index[1].flatten(),index[2].flatten()].reshape(microstructureExt.shape)
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microstructure = microstructureExt[(expandedGrid[0])/2:-(expandedGrid[0])/2,
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(expandedGrid[1])/2:-(expandedGrid[1])/2,
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(expandedGrid[2])/2:-(expandedGrid[2])/2]
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# --- renumber to sequence 1...Ngrains if requested ------------------------------------------------
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# http://stackoverflow.com/questions/10741346/numpy-frequency-counts-for-unique-values-in-an-array
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