def main(s=[1,0,0,0,0,0],iopt=0,inorm=False):
"""
Arguments
---------
s = [1,0,0,0,0,0] - Cauchy stress
iopt (used in cpb_data.tab1_cpb)
inorm = False (if True, normalize the yield locus by
tension stress along RD)
"""
if type(s).__name__=='ndarray':
S=s.copy()
else:
s=np.array(s,dtype='float')
S=s.copy()
Sdev = cpb_lib.deviator(S)
C, k = cpb_data.tab1_cpb(iopt=iopt)
# C, k = cpb_data.tab2_cpb(iopt=iopt)
# ## find principal values
Sig = princ(s, C)
Sig = np.sort(Sig)
a = 2.
F = eq9(S=Sig, a=a, k=k)
f1 = (F)**(1./a)
if inorm:
"""
normarlize w.r.t. uniaxial tension yield stress along RD
"""
s0t, s0c = eq12(C,a,k)
f1=f1*s0t
return S.copy()/f1
def main(s=[1,0,0,0,0,0],a=4,k=0.):
"""
Argument
--------
s=[1,0,0,0,0,0]
a
k
"""
import cpb_lib
if type(s).__name__=='ndarray':
S=s.copy()
else:
S=np.array(s,dtype='float')
Sdev = cpb_lib.deviator(S)
f=eq4(S=Sdev.copy(),a=a,k=k)
f1=(f)**(1./a)
# Sdev2 = cpb_lib.deviator(S.copy()/f1)
# f2=eq4(Sdev2.copy(),a=a,k=k)
# print 'f2:',f2
return S.copy()/f1
def main(s=[1, 0, 0, 0, 0, 0], a=4, k=0.):
"""
Argument
--------
s=[1,0,0,0,0,0]
a
k
"""
import cpb_lib
if type(s).__name__ == 'ndarray':
S = s.copy()
else:
S = np.array(s, dtype='float')
Sdev = cpb_lib.deviator(S)
f = eq4(S=Sdev.copy(), a=a, k=k)
f1 = (f)**(1. / a)
# Sdev2 = cpb_lib.deviator(S.copy()/f1)
# f2=eq4(Sdev2.copy(),a=a,k=k)
# print 'f2:',f2
return S.copy() / f1
