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Fix general Hosford!

This commit is contained in:
Haiming Zhang 2015-02-05 20:18:07 +00:00
parent c19e560dd0
commit 4f2c07063b
1 changed files with 17 additions and 10 deletions
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27
processing/misc/yieldSurface.py
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@ -108,10 +108,10 @@ def Hosford(sigmas, sigma0, a):
residuum of Hershey yield criterion (eq. 2.43, Y = sigma0)
'''
lambdas = principalStresses(sigmas)
r = (lambdas[2,:]-lambdas[1,:])**a\
+ (lambdas[1,:]-lambdas[0,:])**a\
+ (lambdas[0,:]-lambdas[2,:])**a\
-2.0*sigma0**a
r = (abs(lambdas[2,:]-lambdas[1,:]))**a\
+ (abs(lambdas[1,:]-lambdas[0,:]))**a\
+ (abs(lambdas[0,:]-lambdas[2,:]))**a\
-2.0*(abs(sigma0))**a
return r.ravel()
#more to do
@ -204,16 +204,19 @@ fittingCriteria = {
'vonMises' :{'fit' :np.ones(1,'d'),'err':np.inf,
'name' :'Huber-Mises-Hencky(von Mises)',
'paras':'Initial yield stress:'},
'Hosford' :{'fit' :np.ones(2,'d'),'err':np.inf,
'name' :'Gerenal Hosford',
'paras':'Initial yield stress:'},
'Hill1948' :{'fit' :np.ones(6,'d'),'err':np.inf,
'name' :'Hill1948',
'paras':'Normalized [F, G, H, L, M, N]'},
'Drucker' :{'fit' :np.ones(2,'d'),'err':np.inf,
'name' :'Drucker',
'paras':'Initial yield stress, C_D:'},
'Barlat1991iso' :{'fit' :np.ones(2,'d'),'err':np.inf,
'Barlat1991iso' :{'fit' :np.ones(1,'d'),'err':np.inf,
'name' :'Barlat1991iso',
'paras':'Initial yield stress, m:'},
'Barlat1991aniso':{'fit' :np.ones(8,'d'),'err':np.inf,
'Barlat1991aniso':{'fit' :np.ones(7,'d'),'err':np.inf,
'name' :'Barlat1991aniso',
'paras':'Initial yield stress, m, a, b, c, f, g, h:'},
'worst' :{'err':np.inf},
@ -285,6 +288,10 @@ class Criterion(object):
funResidum = vonMises
text = '\nCoefficient of Huber-Mises-Hencky criterion:\nsigma0: '+formatOutput(1)
error='The standard deviation error is: '+formatOutput(1,'%-14.8f')+'\n'
elif self.name.lower() == 'hosford':
funResidum = Hosford
text = '\nCoefficient of general Hosford criterion:\nsigma0, a: '+formatOutput(2)
error='The standard deviation error is: '+formatOutput(2,'%-14.8f')+'\n'
elif self.name.lower() == 'drucker':
funResidum = Drucker
text = '\nCoefficient of Drucker criterion:\nsigma0, C_D: '+formatOutput(2)
@ -293,15 +300,15 @@ class Criterion(object):
funResidum = Hill1948
text = '\nCoefficient of Hill1948 criterion:\n[F, G, H, L, M, N]:'+' '*16+formatOutput(6)
error='The standard deviation errors are: '+formatOutput(6,'%-14.8f')+'\n'
elif self.name.lower() == 'barlat91iso':
elif self.name.lower() == 'barlat1991iso':
funResidum = Barlat1991iso
text = '\nCoefficient of isotropic Barlat 1991 criterion:\nsigma0, m:\n'+formatOutput(2)
error='The standard deviation errors are: '+formatOutput(2,'%-14.8f')+'\n'
elif self.name.lower() == 'barlat91aniso':
error='The standard deviation errors are: '+formatOutput(1,'%-14.8f')+'\n'
elif self.name.lower() == 'barlat1991aniso':
funResidum = Barlat1991aniso
text = '\nCoefficient of anisotropic Barlat 1991 criterion:\nsigma0, \m, a, b, c, f, g, h:\n' \
+formatOutput(8)
error='The standard deviation errors are: '+formatOutput(8,'%-14.8f')
error='The standard deviation errors are: '+formatOutput(7,'%-14.8f')
if fitResults == []:
initialguess = fittingCriteria[funResidum.__name__]['fit']
else: