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DAMASK_EICMD
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minor change

This commit is contained in:
Fengbo Han 2017-10-24 12:01:10 +02:00
parent d599aec37f
commit d77789b89f
1 changed files with 10 additions and 13 deletions
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23
processing/misc/yieldSurfaceFast.py
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@ -7,7 +7,6 @@ from optparse import OptionParser
import damask import damask
from damask.util import leastsqBound from damask.util import leastsqBound
from scipy.optimize import nnls from scipy.optimize import nnls
import math
scriptName = os.path.splitext(os.path.basename(__file__))[0] scriptName = os.path.splitext(os.path.basename(__file__))[0]
scriptID = ' '.join([scriptName,damask.version]) scriptID = ' '.join([scriptName,damask.version])
@ -58,24 +57,22 @@ def doFacetFit():
Data = np.zeros((options.numpoints, 10)) Data = np.zeros((options.numpoints, 10))
for i in range(options.numpoints): for i in range(options.numpoints):
fileName = options.geometry + '_' + str(i+1) + '.yield' fileName = options.geometry + '_' + str(i+1) + '.yield'
while os.path.exists(fileName):
break
data_i = np.loadtxt(fileName) data_i = np.loadtxt(fileName)
sv = (data_i[0,0] + data_i[1,1] + data_i[2,2])/3.0 sv = (data_i[0,0] + data_i[1,1] + data_i[2,2])/3.0
#convert stress and strain form the 6D to 5D space #convert stress and strain form the 6D to 5D space
S1 = math.sqrt(2.0)*(data_i[0,0] - data_i[1,1])/2.0 S1 = np.sqrt(2.0)*(data_i[0,0] - data_i[1,1])/2.0
S2 = math.sqrt(6.0)*(data_i[0,0] + data_i[1,1] - 2.0*sv)/2.0 S2 = np.sqrt(6.0)*(data_i[0,0] + data_i[1,1] - 2.0*sv)/2.0
S3 = math.sqrt(2.0)*data_i[1,2] S3 = np.sqrt(2.0)*data_i[1,2]
S4 = math.sqrt(2.0)*data_i[2,0] S4 = np.sqrt(2.0)*data_i[2,0]
S5 = math.sqrt(2.0)*data_i[0,1] S5 = np.sqrt(2.0)*data_i[0,1]
E1 = math.sqrt(2.0)*(data_i[3,0]-data_i[4,1])/2.0 E1 = np.sqrt(2.0)*(data_i[3,0]-data_i[4,1])/2.0
E2 = math.sqrt(6.0)*(data_i[3,0]+data_i[4,1])/2.0 E2 = np.sqrt(6.0)*(data_i[3,0]+data_i[4,1])/2.0
E3 = math.sqrt(2.0)*data_i[4,2] E3 = np.sqrt(2.0)*data_i[4,2]
E4 = math.sqrt(2.0)*data_i[5,0] E4 = np.sqrt(2.0)*data_i[5,0]
E5 = math.sqrt(2.0)*data_i[3,1] E5 = np.sqrt(2.0)*data_i[3,1]
Data[i,:] = [E1,E2,E3,E4,E5,S1,S2,S3,S4,S5] Data[i,:] = [E1,E2,E3,E4,E5,S1,S2,S3,S4,S5]