62 lines
2.7 KiB
Python
Executable File
62 lines
2.7 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,string,h5py
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import numpy as np
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from optparse import OptionParser
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import damask
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# --------------------------------------------------------------------
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# MAIN
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# --------------------------------------------------------------------
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
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Add column(s) containing Cauchy stress based on given column(s) of
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deformation gradient and first Piola--Kirchhoff stress.
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""" + string.replace('$Id$','\n','\\n')
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)
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parser.add_option('-f','--defgrad', dest='defgrad', \
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help='heading of columns containing deformation gradient [%default]')
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parser.add_option('-p','--stress', dest='stress', \
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help='heading of columns containing first Piola--Kirchhoff stress [%default]')
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parser.add_option('-o','--output', dest='output', \
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help='group containing requested data [%default]')
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parser.set_defaults(defgrad = 'f')
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parser.set_defaults(stress = 'p')
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parser.set_defaults(output = 'crystallite')
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(options,filenames) = parser.parse_args()
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if options.defgrad is None or options.stress is None or options.output is None:
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parser.error('missing data column...')
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# ------------------------------------------ setup file handles ---------------------------------------
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files = []
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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, 'file':h5py.File(name,"a")})
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# ------------------------------------------ loop over input files ------------------------------------
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for myFile in files:
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print(myFile['name'])
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# ------------------------------------------ loop over increments -------------------------------------
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for inc in myFile['file']['increments'].keys():
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print("Current Increment: "+inc)
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for instance in myFile['file']['increments/'+inc+'/'+options.output].keys():
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dsets = myFile['file']['increments/'+inc+'/'+options.output+'/'+instance].keys()
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if (options.defgrad in dsets and options.stress in dsets):
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defgrad = myFile['file']['increments/'+inc+'/'+options.output+'/'+instance+'/'+options.defgrad]
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stress = myFile['file']['increments/'+inc+'/'+options.output+'/'+instance+'/'+options.stress]
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cauchy=np.zeros(np.shape(stress),'f')
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for p in range(stress.shape[0]):
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cauchy[p,...] = 1.0/np.linalg.det(defgrad[p,...])*np.dot(stress[p,...],defgrad[p,...].T) # [Cauchy] = (1/det(F)) * [P].[F_transpose]
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cauchyFile = myFile['file']['increments/'+inc+'/'+options.output+'/'+instance].create_dataset('cauchy', data=cauchy)
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cauchyFile.attrs['units'] = 'Pa'
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