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Re: [Question #113926]: Problem with variational derivative

 



On 08/06/10 16:19, Krishna Garikipati wrote:
New question #113926 on DOLFIN:
https://answers.launchpad.net/dolfin/+question/113926

I am solving a coupled problem: Nonlinear advection-diffusion and hyperelasticity

#Function spaces are:
Q = FunctionSpace(mesh, "CG", 1);
V = VectorFunctionSpace(mesh, "CG", 1);
U = VectorFunctionSpace(mesh, "CG", 1);

#Functions for advection-diff
u1c  = Function(Q)          #Solution from current time step
u10  = Function(Q)          #Initial condition

#Functions for hyperelasticity
v2   = TestFunction(U)       # Test function
du2  = TrialFunction(U)      # Incremental displacement
u2c  = Function(U)           # Displacement in current time step

#Concentration field influencing the stress. Strain energy function psi(C), where C is the right Cauchy-Green tensor.
psi = ((u10/u1c)**1.333333)*const1*(tr(C))**2 - ((u10/u1c)**0.666666)*const2*tr(C) + ((u1c/u10)**1.333333)*const3*tr(C*C)
P = 2*((u1c/u10)**0.333333)*F*diff(psi, C) #Stress

#Variational form
L2 = inner(P, grad(v2))*dx(1) - inner(B, v2)*dx(1) - inner(T2, v2)*ds(1)
a2 = derivative(L2, u2c, du2)
# Solve nonlinear variational problem
problem = VariationalProblem(a2, L2, [bclm, bcrm],
                              cell_domains=sub_domains,
                              exterior_facet_domains=boundary,
                              nonlinear=True)


This code takes inordinately long to form the matrices, but appears to converge quadratically to the correct solution.

Try putting

    parameters["form_compiler"]["cpp_optimize"] = True
    parameters["form_compiler"]["optimize"]     = True

somewhere near the top of your file. It will take longer to compile the code the first time through, but the assembly should be much faster (likely orders of magnitude faster).


If instead I move the multiplication by (u10/u1c) from
P = 2*((u1c/u10)**0.333333)*F*diff(psi, C) to the previous line

psi = ((u10/u1c))*const1*(tr(C))**2 - ((u10/u1c)**0.333333)*const2*tr(C) + ((u1c/u10))*const3*tr(C*C)
P = 2*F*diff(psi, C) #Stress

psi = ((u10/u1c)**1.333333)*const1*(tr(C))**2 - ((u10/u1c)**0.666666)*const2*tr(C) + ((u1c/u10)**1.333333)*const3*tr(C*C)
P = 2*((u1c/u10)**0.333333)*F*diff(psi, C) #Stress

the matrices are assembled faster by a factor of 30 or 40, but the starting residual is different and I lose quadratic convergence of the residual.

Is there something obviously wrong? It is unexpected that rewriting the stress without changing its mathematical form causes such a difference in the assembly and solution procedures.


It should of course give the same result if the expressions are the same, but if may affect the runtime, particularly when optimisations are switched off (Kristian could comment in more details).

Garth

  ----Krishna






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