Hi
I solved a non linear variational problem as follows
U=VectorFunctionSpace(mesh,"P",1,2)
Unidfs=FunctionSpace(mesh,"P",1)
Matr=TensorFunctionSpace(mesh, "CG", 1)
def F(u): return grad(u) + Identity(2)
def C(u):return (F(u).T)*F(u)
def B(u): return F(u)*(F(u).T)
def lambda_1(u): return (tr(C(u)) + sqrt((tr(C(u))**2)-(4*det(C(u)))+ DOLFIN_EPS))/2
def lambda_2(u): return (tr(C(u)) - sqrt((tr(C(u))**2)-(4*det(C(u)))+ DOLFIN_EPS))/2
def Ogd_Energy(u):
t1=(mu_1/alfa_1)*((lambda_1(u)**(alfa_1st))+(lambda_2(u)**(alfa_1st))-2)
t2=(mu_2/alfa_2)*((lambda_1(u)**(alfa_2st))+(lambda_2(u)**(alfa_2st))-2)
td=D_1*((det(C(u))-1)**2)
return t1+t2+td
Energy=Ogd_Energy(u)*dx
var1=derivative(Energy,u,Test_u)
var2=derivative(var1,u,Trial_u)
bc_left=DirichletBC(U, Constant((0.0,0.0)), boundary_left)
bc_right=DirichletBC(U,Constant((uL,0.0)),boundary_right)
bc=[bc_left,bc_right]
problem = NonlinearVariationalProblem(var1,u,bc,var2)
solver = NonlinearVariationalSolver(problem)
solver.solve()
C_=C(u)
B_=B(u)
l1=lambda_1(u)
l2=lambda_2(u)
lF1=sqrt(l1)
lF2=sqrt(l2)
#eigenvectors?? second piola stress?
I obtained the displacement field “u” as I expected.
Now I have to find the eigenvectors of C_ and B_ and the stress tensors (Cauchy, first Piola, Second Piola). I tried to use the following codes:
1:
e1=interpolate(Constant((1,0)),U)
e2=interpolate(Constant((0,1)),U)
e11=project(outer(e1,e1),Matr)
e12=project(outer(e1,e2),Matr)
e21=project(outer(e2,e1),Matr)
e22=project(outer(e2,e2),Matr)
def eig_vect(Cm,l1,l2):
l1v=project(l1,Unidfs)
i=0
imax=mesh.num_vertices()
C=project(Cm,Matr)
bf=project(inner(C,e11),Unidfs)
cf=project(inner(C,e12),Unidfs)
df=project(inner(C,e22),Unidfs)
vers1=interpolate(Constant((1,0)),U)
vers2=interpolate(Constant((0,1)),U)
u1_f=Function(Unidfs)
u2_f=Function(Unidfs)
while i<imax +tollb:
b=bf.vector()[i]
c=cf.vector()[i]
d=df.vector()[i]
l1p=l1v.vector()[i]
u1=conditional(le(abs(c),tollb),Constant(1.),abs(c)/sqrt(((l1p-b)**2)+(c**2)))
u2=conditional(le(abs(c),tollb),Constant(0.0),abs(l1p-b)/sqrt(((l1p-b)**2)+(c**2)))
u1_f.vector()[i]=u1
u2_f.vector()[i]=u2
i=i+1
vect1=(u1_f*vers1)+(u2_f*vers2)
vect2=(-u2_f*vers1)+(u1_f*vers2)
return vect1,vect2
#first piola
def ti_ogd(a): return (mu_1*(a**(alfa_1-1)))+(mu_2*(a**(alfa_2-1)))+(2*D_1*lambda_1(u)*lambda_2(u)/a)
ein_vC1 , ein_vC2=eig_vect(C_,lambda1_C,lambda2_C)
ein_vB1 , ein_vB2=eig_vect(B_,lambda1_C,lambda2_C)
t1=ti_ogd(lF1)
t2=ti_ogd(lF2)
m1=outer(ein_vC1,ein_vB1)
m2=outer(ein_vC2,ein_vB2)
P=(t1*m1)+(t2*m2)#first piola
S=P*(inv(F(u)).T)
S=project(S,Matr)
but the function for eigenvectors is very slow and it isn’t very accurate. The second Piola stress is not as I expected it.
2 the second try is:
def eig_vect(Cm,l1,l2):
C=project(Cm,Matr)
b=C[0,0]
c=C[0,1]
d=C[1,1]
u1=ufl.conditional(ufl.le(ufl.abs(c),tollb),Constant(1.),c/sqrt(((l1-b)**2)+(c**2)))
u2=conditional(le(abs(c),tollb),Constant(0.0),(l1-b)/sqrt(((l1-b)**2)+(c**2)))
vect1=as_vector([u1,u2])
vect2=as_vector([-u2,u1])
return vect1,vect2
#...
but i didn’t obtain a correct form for eigenvectors
3 in the third try, I find only the second Piola stress tensor:
def second_piola(T):
psi=Ogd_Energy(u)
C_=C(u)
C_=variable(C_)
S=diff(psi, C_)
return S
but it get a constant zero matrix.
Excuse me for the length of the post and thank you for the answers.