DAMASK_EICMD/processing/post/addMises.py

136 lines
5.6 KiB
Python
Executable File

#!/usr/bin/env python
import os,re,sys,math,numpy,string,damask
from optparse import OptionParser, Option
scriptID = '$Id$'
scriptName = scriptID.split()[1]
# -----------------------------
class extendableOption(Option):
# -----------------------------
# used for definition of new option parser action 'extend', which enables to take multiple option arguments
# taken from online tutorial http://docs.python.org/library/optparse.html
ACTIONS = Option.ACTIONS + ("extend",)
STORE_ACTIONS = Option.STORE_ACTIONS + ("extend",)
TYPED_ACTIONS = Option.TYPED_ACTIONS + ("extend",)
ALWAYS_TYPED_ACTIONS = Option.ALWAYS_TYPED_ACTIONS + ("extend",)
def take_action(self, action, dest, opt, value, values, parser):
if action == "extend":
lvalue = value.split(",")
values.ensure_value(dest, []).extend(lvalue)
else:
Option.take_action(self, action, dest, opt, value, values, parser)
def Mises(what,tensor):
dev = tensor - numpy.trace(tensor)/3.0*numpy.eye(3)
symdev = 0.5*(dev+dev.T)
return math.sqrt(numpy.sum(symdev*symdev.T)*
{
'stress': 3.0/2.0,
'strain': 2.0/3.0,
}[what.lower()])
# --------------------------------------------------------------------
# MAIN
# --------------------------------------------------------------------
parser = OptionParser(option_class=extendableOption, usage='%prog options [file[s]]', description = """
Add vonMises equivalent values for symmetric part of requested strains and/or stresses.
""" + string.replace(scriptID,'\n','\\n')
)
parser.add_option('-e','--strain', dest='strain', action='extend', type='string', \
help='heading(s) of columns containing strain tensors')
parser.add_option('-s','--stress', dest='stress', action='extend', type='string', \
help='heading(s) of columns containing stress tensors')
parser.set_defaults(strain = [])
parser.set_defaults(stress = [])
(options,filenames) = parser.parse_args()
if len(options.strain) + len(options.stress) == 0:
parser.error('no data column specified...')
datainfo = { # list of requested labels per datatype
'strain': {'len':9,
'label':[]},
'stress': {'len':9,
'label':[]},
}
if options.strain != None: datainfo['strain']['label'] += options.strain
if options.stress != None: datainfo['stress']['label'] += options.stress
# ------------------------------------------ setup file handles ---------------------------------------
files = []
if filenames == []:
files.append({'name':'STDIN', 'input':sys.stdin, 'output':sys.stdout, 'croak':sys.stderr})
else:
for name in filenames:
if os.path.exists(name):
files.append({'name':name, 'input':open(name), 'output':open(name+'_tmp','w'), 'croak':sys.stderr})
# ------------------------------------------ loop over input files ---------------------------------------
for file in files:
if file['name'] != 'STDIN': file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n')
else: file['croak'].write('\033[1m'+scriptName+'\033[0m\n')
table = damask.ASCIItable(file['input'],file['output'],False) # make unbuffered ASCII_table
table.head_read() # read ASCII header info
table.info_append(string.replace(scriptID,'\n','\\n') + '\t' + ' '.join(sys.argv[1:]))
active = {}
column = {}
head = []
for datatype,info in datainfo.items():
for label in info['label']:
key = {True :'1_%s',
False:'%s' }[info['len']>1]%label
if key not in table.labels:
sys.stderr.write('column %s not found...\n'%key)
else:
if datatype not in active: active[datatype] = []
if datatype not in column: column[datatype] = {}
active[datatype].append(label)
column[datatype][label] = table.labels.index(key) # remember columns of requested data
table.labels_append('Mises(%s)'%label) # extend ASCII header with new labels
# ------------------------------------------ assemble header ---------------------------------------
table.head_write()
# ------------------------------------------ process data ---------------------------------------
while table.data_read(): # read next data line of ASCII table
for datatype,labels in active.items(): # loop over vector,tensor
for label in labels: # loop over all requested norms
table.data_append(Mises(datatype,
numpy.array(map(float,table.data[column[datatype][label]:
column[datatype][label]+datainfo[datatype]['len']]),'d').reshape(3,3)))
table.data_write() # output processed line
# ------------------------------------------ output result ---------------------------------------
table.output_flush() # just in case of buffered ASCII table
file['input'].close() # close input ASCII table
if file['name'] != 'STDIN':
file['output'].close # close output ASCII table
os.rename(file['name']+'_tmp',file['name']) # overwrite old one with tmp new