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DAMASK_EICMD
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improved handling of phases without orientation 

inactive phases and phases without orientation will get 999 numerical
values
This commit is contained in:
Martin Diehl 2023-12-04 23:16:24 +01:00
parent 5923aa2493
commit 1995934371
1 changed files with 13 additions and 10 deletions
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23
python/damask/_result.py
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@ -1971,11 +1971,13 @@ class Result:
with h5py.File(self.fname,'r') as f: with h5py.File(self.fname,'r') as f:
for inc in util.show_progress(self.visible['increments']): for inc in util.show_progress(self.visible['increments']):
crystal_structure = [999]
cell_orientation = np.zeros((np.prod(self.cells),3))
phase_ID_array = np.zeros((np.prod(self.cells)),dtype=np.int32) #need to reshape it later
for c in range(self.N_constituents): for c in range(self.N_constituents):
for count,label in enumerate(self.visible['phases']): crystal_structure = [999]
phase_name = ['Unknown Phase Type']
cell_orientation = np.zeros((np.prod(self.cells),3))
phase_ID = np.zeros((np.prod(self.cells)),dtype=np.int32)
count = 1
for label in self.visible['phases']:
try: try:
data = _read(f['/'.join([inc,'phase',label,'mechanical/O'])]) data = _read(f['/'.join([inc,'phase',label,'mechanical/O'])])
lattice = data.dtype.metadata['lattice'] lattice = data.dtype.metadata['lattice']
@ -1989,10 +1991,12 @@ class Result:
cell_orientation[at_cell_ph[c][label],:] = \ cell_orientation[at_cell_ph[c][label],:] = \
Rotation(data[in_data_ph[c][label],:]).as_Euler_angles().astype(np.float32) Rotation(data[in_data_ph[c][label],:]).as_Euler_angles().astype(np.float32)
phase_ID[at_cell_ph[c][label]] = count
phase_name.append(label)
count +=1
except KeyError: except KeyError:
crystal_structure.append(999) pass
phase_ID_array[at_cell_ph[c][label]] = count + 1
with h5py.File(f'{out_dir}/{self.fname.stem}_inc{inc.split(prefix_inc)[-1].zfill(N_digits)}.dream3d','w') as f_out: with h5py.File(f'{out_dir}/{self.fname.stem}_inc{inc.split(prefix_inc)[-1].zfill(N_digits)}.dream3d','w') as f_out:
add_attribute(f_out,'FileVersion','7.0') add_attribute(f_out,'FileVersion','7.0')
@ -2006,7 +2010,7 @@ class Result:
add_attribute(cell,'AttributeMatrixType',np.array([3],np.uint32)) add_attribute(cell,'AttributeMatrixType',np.array([3],np.uint32))
add_attribute(cell,'TupleDimensions', np.array(self.cells,np.uint64)) add_attribute(cell,'TupleDimensions', np.array(self.cells,np.uint64))
cell['Phases'] = np.reshape(phase_ID_array,tuple(np.flip(self.cells))+(1,)) cell['Phases'] = np.reshape(phase_ID,tuple(np.flip(self.cells))+(1,))
cell['EulerAngles'] = cell_orientation.reshape(tuple(np.flip(self.cells))+(3,)) cell['EulerAngles'] = cell_orientation.reshape(tuple(np.flip(self.cells))+(3,))
for dataset in ['Phases','EulerAngles']: for dataset in ['Phases','EulerAngles']:
add_attribute(cell[dataset],'DataArrayVersion',np.array([2],np.int32)) add_attribute(cell[dataset],'DataArrayVersion',np.array([2],np.int32))
@ -2020,12 +2024,11 @@ class Result:
cell_ensemble = create_and_open(data_container,'CellEnsembleData') cell_ensemble = create_and_open(data_container,'CellEnsembleData')
cell_ensemble['CrystalStructures'] = np.array(crystal_structure,np.uint32).reshape(-1,1) cell_ensemble['CrystalStructures'] = np.array(crystal_structure,np.uint32).reshape(-1,1)
cell_ensemble['PhaseTypes'] = np.array([999] + [0]*len(self.phases),np.uint32).reshape(-1,1) cell_ensemble['PhaseTypes'] = np.array([999] + [0]*(len(crystal_structure)-1),np.uint32).reshape(-1,1)
phase_name_list = ['Unknown Phase Type'] + [p for p in self.visible['phases']]
tid = h5py.h5t.C_S1.copy() tid = h5py.h5t.C_S1.copy()
tid.set_size(h5py.h5t.VARIABLE) tid.set_size(h5py.h5t.VARIABLE)
tid.set_cset(h5py.h5t.CSET_ASCII) tid.set_cset(h5py.h5t.CSET_ASCII)
cell_ensemble.create_dataset(name='PhaseName',data = phase_name_list, dtype=h5py.Datatype(tid)) cell_ensemble.create_dataset(name='PhaseName',data = phase_name, dtype=h5py.Datatype(tid))
cell_ensemble.attrs['AttributeMatrixType'] = np.array([11],np.uint32) cell_ensemble.attrs['AttributeMatrixType'] = np.array([11],np.uint32)
cell_ensemble.attrs['TupleDimensions'] = np.array([len(self.phases) + 1], np.uint64) cell_ensemble.attrs['TupleDimensions'] = np.array([len(self.phases) + 1], np.uint64)