106 lines
3.9 KiB
Python
Executable File
106 lines
3.9 KiB
Python
Executable File
#!/usr/bin/env python2.7
|
|
# -*- coding: UTF-8 no BOM -*-
|
|
|
|
import os,sys,math
|
|
import numpy as np
|
|
from optparse import OptionParser
|
|
import damask
|
|
|
|
scriptName = os.path.splitext(os.path.basename(__file__))[0]
|
|
scriptID = ' '.join([scriptName,damask.version])
|
|
|
|
def Mises(what,tensor):
|
|
|
|
dev = tensor - np.trace(tensor)/3.0*np.eye(3)
|
|
symdev = 0.5*(dev+dev.T)
|
|
return math.sqrt(np.sum(symdev*symdev.T)*
|
|
{
|
|
'stress': 3.0/2.0,
|
|
'strain': 2.0/3.0,
|
|
}[what.lower()])
|
|
|
|
# --------------------------------------------------------------------
|
|
# MAIN
|
|
# --------------------------------------------------------------------
|
|
|
|
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
|
|
Add vonMises equivalent values for symmetric part of requested strains and/or stresses.
|
|
|
|
""", version = scriptID)
|
|
|
|
parser.add_option('-e','--strain',
|
|
dest = 'strain',
|
|
action = 'extend', metavar = '<string LIST>',
|
|
help = 'heading(s) of columns containing strain tensors')
|
|
parser.add_option('-s','--stress',
|
|
dest = 'stress',
|
|
action = 'extend', metavar = '<string LIST>',
|
|
help = 'heading(s) of columns containing stress tensors')
|
|
|
|
parser.set_defaults(strain = [],
|
|
stress = [],
|
|
)
|
|
|
|
(options,filenames) = parser.parse_args()
|
|
|
|
if len(options.stress+options.strain) == 0:
|
|
parser.error('no data column specified...')
|
|
|
|
# --- loop over input files -------------------------------------------------------------------------
|
|
|
|
if filenames == []: filenames = [None]
|
|
|
|
for name in filenames:
|
|
try:
|
|
table = damask.ASCIItable(name = name,
|
|
buffered = False)
|
|
except: continue
|
|
damask.util.report(scriptName,name)
|
|
|
|
# ------------------------------------------ read header ------------------------------------------
|
|
|
|
table.head_read()
|
|
|
|
# ------------------------------------------ sanity checks ----------------------------------------
|
|
|
|
items = {
|
|
'strain': {'dim': 9, 'shape': [3,3], 'labels':options.strain, 'active':[], 'column': []},
|
|
'stress': {'dim': 9, 'shape': [3,3], 'labels':options.stress, 'active':[], 'column': []},
|
|
}
|
|
errors = []
|
|
remarks = []
|
|
|
|
for type, data in items.iteritems():
|
|
for what in data['labels']:
|
|
dim = table.label_dimension(what)
|
|
if dim != data['dim']: remarks.append('column {} is not a {}...'.format(what,type))
|
|
else:
|
|
items[type]['active'].append(what)
|
|
items[type]['column'].append(table.label_index(what))
|
|
table.labels_append('Mises({})'.format(what)) # extend ASCII header with new labels
|
|
|
|
if remarks != []: damask.util.croak(remarks)
|
|
if errors != []:
|
|
damask.util.croak(errors)
|
|
table.close(dismiss = True)
|
|
continue
|
|
|
|
# ------------------------------------------ assemble header --------------------------------------
|
|
|
|
table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
|
|
table.head_write()
|
|
|
|
# ------------------------------------------ process data ------------------------------------------
|
|
|
|
outputAlive = True
|
|
while outputAlive and table.data_read(): # read next data line of ASCII table
|
|
for type, data in items.iteritems():
|
|
for column in data['column']:
|
|
table.data_append(Mises(type,
|
|
np.array(table.data[column:column+data['dim']],'d').reshape(data['shape'])))
|
|
outputAlive = table.data_write() # output processed line
|
|
|
|
# ------------------------------------------ output finalization -----------------------------------
|
|
|
|
table.close() # close input ASCII table (works for stdin)
|