use central facilities

This commit is contained in:
Martin Diehl 2019-11-27 08:45:01 +01:00
parent eb033e11b2
commit ab83dc2ebc
1 changed files with 14 additions and 66 deletions

View File

@ -2,10 +2,8 @@
import os
import sys
from io import StringIO
from optparse import OptionParser
from collections import OrderedDict
import numpy as np
import damask
@ -13,15 +11,6 @@ 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 np.sqrt(np.sum(symdev*symdev.T)*
{
'stress': 3.0/2.0,
'strain': 2.0/3.0,
}[what.lower()])
# --------------------------------------------------------------------
# MAIN
@ -47,62 +36,21 @@ parser.set_defaults(strain = [],
(options,filenames) = parser.parse_args()
if options.stress is [] and options.strain is []:
parser.error('no data column specified...')
# --- loop over input files -------------------------------------------------------------------------
parser.error('no data column specified...')
if filenames == []: filenames = [None]
for name in filenames:
try:
table = damask.ASCIItable(name = name,
buffered = False)
except: continue
damask.util.report(scriptName,name)
damask.util.report(scriptName,name)
# ------------------------------------------ read header ------------------------------------------
table.head_read()
# ------------------------------------------ sanity checks ----------------------------------------
items = OrderedDict([
('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.items():
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.items():
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)
table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
for strain in options.strain:
table.add_array('Mises({})'.format(strain),
damask.mechanics.Mises_strain(damask.mechanics.symmetric(table.get_array(strain).reshape(-1,3,3))),
scriptID+' '+' '.join(sys.argv[1:]))
for stress in options.stress:
table.add_array('Mises({})'.format(stress),
damask.mechanics.Mises_stress(damask.mechanics.symmetric(table.get_array(stress).reshape(-1,3,3))),
scriptID+' '+' '.join(sys.argv[1:]))
table.to_ASCII(sys.stdout if name is None else name)