107 lines
3.9 KiB
Python
Executable File
107 lines
3.9 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*- coding: UTF-8 no BOM -*-
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import os,sys,math
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import numpy as np
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from optparse import OptionParser
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from collections import OrderedDict
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import damask
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scriptName = os.path.splitext(os.path.basename(__file__))[0]
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scriptID = ' '.join([scriptName,damask.version])
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def Mises(what,tensor):
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dev = tensor - np.trace(tensor)/3.0*np.eye(3)
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symdev = 0.5*(dev+dev.T)
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return math.sqrt(np.sum(symdev*symdev.T)*
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{
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'stress': 3.0/2.0,
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'strain': 2.0/3.0,
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}[what.lower()])
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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 vonMises equivalent values for symmetric part of requested strains and/or stresses.
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""", version = scriptID)
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parser.add_option('-e','--strain',
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dest = 'strain',
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action = 'extend', metavar = '<string LIST>',
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help = 'heading(s) of columns containing strain tensors')
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parser.add_option('-s','--stress',
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dest = 'stress',
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action = 'extend', metavar = '<string LIST>',
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help = 'heading(s) of columns containing stress tensors')
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parser.set_defaults(strain = [],
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stress = [],
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)
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(options,filenames) = parser.parse_args()
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if len(options.stress+options.strain) == 0:
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parser.error('no data column specified...')
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# --- loop over input files -------------------------------------------------------------------------
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if filenames == []: filenames = [None]
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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)
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except: continue
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damask.util.report(scriptName,name)
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# ------------------------------------------ read header ------------------------------------------
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table.head_read()
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# ------------------------------------------ sanity checks ----------------------------------------
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items = OrderedDict({
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'strain': {'dim': 9, 'shape': [3,3], 'labels':options.strain, 'active':[], 'column': []},
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'stress': {'dim': 9, 'shape': [3,3], 'labels':options.stress, 'active':[], 'column': []},
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})
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errors = []
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remarks = []
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for type, data in items.items():
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for what in data['labels']:
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dim = table.label_dimension(what)
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if dim != data['dim']: remarks.append('column {} is not a {}...'.format(what,type))
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else:
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items[type]['active'].append(what)
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items[type]['column'].append(table.label_index(what))
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table.labels_append('Mises({})'.format(what)) # extend ASCII header with new labels
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if remarks != []: damask.util.croak(remarks)
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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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# ------------------------------------------ assemble header --------------------------------------
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table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
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table.head_write()
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# ------------------------------------------ process data ------------------------------------------
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outputAlive = True
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while outputAlive and table.data_read(): # read next data line of ASCII table
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for type, data in items.items():
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for column in data['column']:
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table.data_append(Mises(type,
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np.array(table.data[column:column+data['dim']],'d').reshape(data['shape'])))
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outputAlive = table.data_write() # output processed line
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# ------------------------------------------ output finalization -----------------------------------
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table.close() # close input ASCII table (works for stdin)
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