new style and test for grain growth
This commit is contained in:
Martin Diehl
parent
c91788d721
commit
41f1994569
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@ -13,18 +13,6 @@ scriptName = os.path.splitext(scriptID.split()[1])[0]
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#--------------------------------------------------------------------------------------------------
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# MAIN
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#--------------------------------------------------------------------------------------------------
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identifiers = {
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'grid': ['a','b','c'],
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'size': ['x','y','z'],
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'origin': ['x','y','z'],
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}
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mappings = {
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'grid': lambda x: int(x),
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'size': lambda x: float(x),
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'origin': lambda x: float(x),
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'homogenization': lambda x: int(x),
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'microstructures': lambda x: int(x),
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}
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
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Smoothens out interface roughness by simulated curvature flow.
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@ -52,98 +40,48 @@ parser.set_defaults(immutable = [])
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options.immutable = map(int,options.immutable)
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#--- setup file handles --------------------------------------------------------------------------
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files = []
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if filenames == []:
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files.append({'name':'STDIN',
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'input':sys.stdin,
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'output':sys.stdout,
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'croak':sys.stderr,
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})
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else:
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for name in filenames:
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if os.path.exists(name):
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files.append({'name':name,
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'input':open(name),
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'output':open(name+'_tmp','w'),
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'croak':sys.stdout,
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})
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# --- loop over input files -------------------------------------------------------------------------
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#--- loop over input files ------------------------------------------------------------------------
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for file in files:
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if file['name'] != 'STDIN': file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n')
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else: file['croak'].write('\033[1m'+scriptName+'\033[0m\n')
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if filenames == []: filenames = [None]
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theTable = damask.ASCIItable(file['input'],file['output'],labeled = False,buffered = False)
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theTable.head_read()
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for name in filenames:
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try:
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table = damask.ASCIItable(name = name,
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buffered = False, labeled = False)
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except: continue
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damask.util.report(scriptName,name)
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#--- interpret header ----------------------------------------------------------------------------
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info = {
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'grid': np.zeros(3,'i'),
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'size': np.zeros(3,'d'),
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'origin': np.zeros(3,'d'),
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'homogenization': 0,
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'microstructures': 0,
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}
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newInfo = {
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'microstructures': 0,
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}
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extra_header = []
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# --- interpret header ----------------------------------------------------------------------------
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for header in theTable.info:
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headitems = map(str.lower,header.split())
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if len(headitems) == 0: continue
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if headitems[0] in mappings.keys():
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if headitems[0] in identifiers.keys():
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for i in xrange(len(identifiers[headitems[0]])):
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info[headitems[0]][i] = \
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mappings[headitems[0]](headitems[headitems.index(identifiers[headitems[0]][i])+1])
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else:
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info[headitems[0]] = mappings[headitems[0]](headitems[1])
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else:
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extra_header.append(header)
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table.head_read()
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info,extra_header = table.head_getGeom()
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file['croak'].write('grid a b c: %s\n'%(' x '.join(map(str,info['grid']))) + \
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'size x y z: %s\n'%(' x '.join(map(str,info['size']))) + \
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'origin x y z: %s\n'%(' : '.join(map(str,info['origin']))) + \
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'homogenization: %i\n'%info['homogenization'] + \
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'microstructures: %i\n'%info['microstructures'])
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damask.util.croak(['grid a b c: %s'%(' x '.join(map(str,info['grid']))),
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'size x y z: %s'%(' x '.join(map(str,info['size']))),
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'origin x y z: %s'%(' : '.join(map(str,info['origin']))),
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'homogenization: %i'%info['homogenization'],
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'microstructures: %i'%info['microstructures'],
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])
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if np.any(info['grid'] < 1):
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file['croak'].write('invalid grid a b c.\n')
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continue
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if np.any(info['size'] <= 0.0):
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file['croak'].write('invalid size x y z.\n')
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errors = []
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if np.any(info['grid'] < 1): errors.append('invalid grid a b c.')
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if np.any(info['size'] <= 0.0): errors.append('invalid size x y z.')
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if errors != []:
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damask.util.croak(errors)
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table.close(dismiss = True)
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continue
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#--- read data ------------------------------------------------------------------------------------
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microstructure = np.zeros(np.prod(info['grid']),'i') # 2D structures do not work
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i = 0
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while theTable.data_read(): # read next data line of ASCII table
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items = theTable.data
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if len(items) > 2:
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if items[1].lower() == 'of': items = [int(items[2])]*int(items[0])
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elif items[1].lower() == 'to': items = xrange(int(items[0]),1+int(items[2]))
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else: items = map(int,items)
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else: items = map(int,items)
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s = len(items)
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microstructure[i:i+s] = items
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i += s
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#--- reshape, if 2D make copy ---------------------------------------------------------------------
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microstructure = np.tile(microstructure.reshape(info['grid'],order='F'),
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np.where(info['grid'] == 1, 2,1)) # make one copy along dimensions with grid == 1
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# --- read data ------------------------------------------------------------------------------------
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microstructure = np.tile(np.array(table.microstructure_read(info['grid']),'i').reshape(info['grid'],order='F'),
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np.where(info['grid'] == 1, 2,1)) # make one copy along dimensions with grid == 1
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grid = np.array(microstructure.shape)
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#--- initialize support data -----------------------------------------------------------------------
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periodic_microstructure = np.tile(microstructure,(3,3,3))[grid[0]/2:-grid[0]/2,
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grid[1]/2:-grid[1]/2,
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grid[2]/2:-grid[2]/2] # periodically extend the microstructure
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microstructure_original = np.copy(microstructure) # store a copy the initial microstructure to find locations of immutable indices
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grid[1]/2:-grid[1]/2,
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grid[2]/2:-grid[2]/2] # periodically extend the microstructure
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microstructure_original = np.copy(microstructure) # store a copy the initial microstructure to find locations of immutable indices
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X,Y,Z = np.mgrid[0:grid[0],0:grid[1],0:grid[2]]
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gauss = np.exp(-(X*X + Y*Y + Z*Z)/(2.0*options.d*options.d))/math.pow(2.0*np.pi*options.d*options.d,1.5)
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@ -153,7 +91,7 @@ for file in files:
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gauss = np.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) # 3D von Neumann neighborhood
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struc = ndimage.generate_binary_structure(3,1) # 3D von Neumann neighborhood
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for smoothIter in xrange(options.N):
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@ -163,42 +101,42 @@ for file in files:
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for k in (-1,0,1):
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interfaceEnergy = np.maximum(boundary,
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interfacialEnergy(microstructure,np.roll(np.roll(np.roll(
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microstructure,i,axis=0), j,axis=1), k,axis=2))) # assign interfacial energy to all voxels that have a differing neighbor (in Moore neighborhood)
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microstructure,i,axis=0), j,axis=1), k,axis=2))) # assign interfacial energy to all voxels that have a differing neighbor (in Moore neighborhood)
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periodic_interfaceEnergy = np.tile(interfaceEnergy,(3,3,3))[grid[0]/2:-grid[0]/2,
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grid[1]/2:-grid[1]/2,
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grid[2]/2:-grid[2]/2] # periodically extend interfacial energy array by half a grid size in positive and negative directions
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index = ndimage.morphology.distance_transform_edt(periodic_interfaceEnergy == 0., # transform bulk volume (i.e. where interfacial energy is zero)
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grid[2]/2:-grid[2]/2] # periodically extend interfacial energy array by half a grid size in positive and negative directions
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index = ndimage.morphology.distance_transform_edt(periodic_interfaceEnergy == 0., # transform bulk volume (i.e. where interfacial energy is zero)
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return_distances = False,
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return_indices = True) # want array index of nearest voxel on periodically extended boundary
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# boundaryExt = boundaryExt[index[0].flatten(),index[1].flatten(),index[2].flatten()].reshape(boundaryExt.shape) # fill bulk with energy of nearest interface | question PE: what "flatten" for?
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return_indices = True) # want array index of nearest voxel on periodically extended boundary
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# boundaryExt = boundaryExt[index[0].flatten(),index[1].flatten(),index[2].flatten()].reshape(boundaryExt.shape) # fill bulk with energy of nearest interface | question PE: what "flatten" for?
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periodic_bulkEnergy = periodic_interfaceEnergy[index[0],
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index[1],
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index[2]].reshape(2*grid) # fill bulk with energy of nearest interface
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index[2]].reshape(2*grid) # fill bulk with energy of nearest interface
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diffusedEnergy = np.fft.irfftn(np.fft.rfftn(np.where(ndimage.morphology.binary_dilation(interfaceEnergy > 0.,
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structure = struc,
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iterations = options.d/2 + 1), # fat boundary | question PE: why 2d - 1? I would argue for d/2 + 1 !!
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periodic_bulkEnergy[grid[0]/2:-grid[0]/2, # retain filled energy on fat boundary...
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periodic_bulkEnergy[grid[0]/2:-grid[0]/2, # retain filled energy on fat boundary...
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grid[1]/2:-grid[1]/2,
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grid[2]/2:-grid[2]/2], # ...and zero everywhere else
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grid[2]/2:-grid[2]/2], # ...and zero everywhere else
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0.)\
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)*gauss)
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periodic_diffusedEnergy = np.tile(diffusedEnergy,(3,3,3))[grid[0]/2:-grid[0]/2,
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grid[1]/2:-grid[1]/2,
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grid[2]/2:-grid[2]/2] # periodically extend the smoothed bulk energy
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index = ndimage.morphology.distance_transform_edt(periodic_diffusedEnergy >= 0.5, # transform voxels close to interface region | question PE: what motivates 1/2 (could be any small number, or)?
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grid[2]/2:-grid[2]/2] # periodically extend the smoothed bulk energy
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index = ndimage.morphology.distance_transform_edt(periodic_diffusedEnergy >= 0.5, # transform voxels close to interface region | question PE: what motivates 1/2 (could be any small number, or)?
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return_distances = False,
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return_indices = True) # want index of closest bulk grain
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return_indices = True) # want index of closest bulk grain
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microstructure = periodic_microstructure[index[0],
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index[1],
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index[2]].reshape(2*grid)[grid[0]/2:-grid[0]/2,
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grid[1]/2:-grid[1]/2,
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grid[2]/2:-grid[2]/2] # extent grains into interface region
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grid[2]/2:-grid[2]/2] # extent grains into interface region
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immutable = np.zeros(microstructure.shape, dtype=bool)
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for micro in options.immutable:
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immutable += np.logical_or(microstructure == micro, microstructure_original == micro) # find locations where immutable microstructures have been or are now
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immutable += np.logical_or(microstructure == micro, microstructure_original == micro) # find locations where immutable microstructures have been or are now
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microstructure = np.where(immutable, microstructure_original,microstructure) # undo any changes involving immutable microstructures
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microstructure = np.where(immutable, microstructure_original,microstructure) # undo any changes involving immutable microstructures
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# --- renumber to sequence 1...Ngrains if requested ------------------------------------------------
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# http://stackoverflow.com/questions/10741346/np-frequency-counts-for-unique-values-in-an-array
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@ -210,33 +148,35 @@ for file in files:
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newID += 1
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microstructure = np.where(microstructure == microstructureID, newID, microstructure)
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# --- assemble header -----------------------------------------------------------------------------
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newInfo['microstructures'] = microstructure[0:info['grid'][0],0:info['grid'][1],0:info['grid'][2]].max()
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newInfo = {'microstructures': 0,}
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newInfo['microstructures'] = microstructure.max()
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#--- report ---------------------------------------------------------------------------------------
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if (newInfo['microstructures'] != info['microstructures']):
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file['croak'].write('--> microstructures: %i\n'%newInfo['microstructures'])
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# --- report ---------------------------------------------------------------------------------------
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#--- write header ---------------------------------------------------------------------------------
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theTable.labels_clear()
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theTable.info_clear()
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theTable.info_append(extra_header+[
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scriptID+ ' ' + ' '.join(sys.argv[1:]),
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"grid\ta %i\tb %i\tc %i"%(info['grid'][0],info['grid'][1],info['grid'][2],),
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"size\tx %f\ty %f\tz %f"%(info['size'][0],info['size'][1],info['size'][2],),
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"origin\tx %f\ty %f\tz %f"%(info['origin'][0],info['origin'][1],info['origin'][2],),
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"homogenization\t%i"%info['homogenization'],
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"microstructures\t%i"%(newInfo['microstructures']),
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remarks = []
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if (newInfo['microstructures'] != info['microstructures']): remarks.append('--> microstructures: %i'%newInfo['microstructures'])
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if remarks != []: damask.util.croak(remarks)
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# --- write header ---------------------------------------------------------------------------------
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table.labels_clear()
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table.info_clear()
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table.info_append(extra_header+[
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scriptID + ' ' + ' '.join(sys.argv[1:]),
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"grid\ta {grid[0]}\tb {grid[1]}\tc {grid[2]}".format(grid=info['grid']),
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"size\tx {size[0]}\ty {size[1]}\tz {size[2]}".format(size=info['size']),
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"origin\tx {origin[0]}\ty {origin[1]}\tz {origin[2]}".format(origin=info['origin']),
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"homogenization\t{homog}".format(homog=info['homogenization']),
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"microstructures\t{microstructures}".format(microstructures=newInfo['microstructures']),
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])
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theTable.head_write()
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table.head_write()
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# --- write microstructure information ------------------------------------------------------------
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formatwidth = int(math.floor(math.log10(microstructure.max())+1))
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theTable.data = microstructure[0:info['grid'][0],0:info['grid'][1],0:info['grid'][2]].reshape(np.prod(info['grid']),order='F').transpose() # question PE: this assumes that only the Z dimension can be 1!
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theTable.data_writeArray('%%%ii'%(formatwidth),delimiter=' ')
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#--- output finalization --------------------------------------------------------------------------
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if file['name'] != 'STDIN':
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theTable.input_close()
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theTable.output_close()
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os.rename(file['name']+'_tmp',file['name'])
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formatwidth = int(math.floor(math.log10(microstructure.max())+1))
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table.data = microstructure.reshape((info['grid'][0],info['grid'][1]*info['grid'][2]),order='F').transpose()
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table.data_writeArray('%%%ii'%(formatwidth),delimiter = ' ')
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# --- output finalization --------------------------------------------------------------------------
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table.close()
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