Can I assign different constitutive laws to different parts in FEniCS?
I am working on multiscale modeling of composites and I want to explore the capability of FEniCS in modeling composites. Specifically, Can I assign different constitutive laws to different parts in mesh using FEniCS? Can I access the integration points to change the material behavior in a nonlinear analysis?
Dr. Bleyer. Thank you for your reply. I was thinking about general cases. For example, in a fiber-reinforced composite I may want to use a elasto-plastic model for matrix and linear elastic model for fibers. Or in a textile composite I may want to use a elasto-plastic model for matrix and a continuum damage model for yarns. The key point is to connect an user-defined constitutive model to the integration points in FEniCS. Something similar to Abaqus UMAT.
Jeremy Bleyer we could do this with MGIS (MFrontGenericInterfaceSupport) but not mgis.fenics. However, we shall do some plumbering and I can't guarantee that post-processing of internal state variables would ne easily feasible.
Right now the second case cannot be handled smoothly but still remain feasible with some work as suggested by Thomas Helfer . We are currently working on the future dolfin-x version to extend the mgis.fenics module and possibly show how to interface seamlessly FEniCS with any user-defined constitutive model. But this is not ready yet.
I then change some parameters and submit a new job with a different jobname, etc. When I'm doing this on my own pc Abaqus is able to utilize all the resources I have available, for example if I have a 6 core 12 thread cpu and submit a bunch of 2 cpu jobs, I can have 6 jobs running simultaneously.
If I try the same method on my institution's cluster, I request 12 cpu cores for a slurm job and submit my python script for analysis, there's only 1 job running at a time instead of 6, meaning 1 parameter job starts and finishes before the next one starts (I'm not using the .waitforcompletion() method).
I'm aware it's a rather open question, but have anyone experienced this unintentional non-parallel behaviour on a cluster before, and how might I be able to solve it?
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