AutoFreeFem: Automatic code generation with FreeFEM++ and LaTex output for shape and topology optimization of non-linear multi-physics problems
For an educational purpose we develop the Python package AutoFreeFem which generates all ingredients for shape optimization with non-linear multi-physics in FreeFEM++ and also outputs the expressions for use in LaTex. As an input, the objective function and the weak form of the problem have to be sp...
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Zusammenfassung: | For an educational purpose we develop the Python package AutoFreeFem which
generates all ingredients for shape optimization with non-linear multi-physics
in FreeFEM++ and also outputs the expressions for use in LaTex. As an input,
the objective function and the weak form of the problem have to be specified
only once. This ensures consistency between the simulation code and its
documentation. In particular, AutoFreeFem provides the linearization of the
state equation, the adjoint problem, the shape derivative, as well as a basic
implementation of the level-set based mesh evolution method for shape
optimization. For the computation of shape derivatives we utilize the
mathematical Lagrangian approach for differentiating PDE-constrained shape
functions. Differentiation is done symbolically using Sympy. In numerical
experiments we verify the accuracy of the computed derivatives. Finally, we
showcase the capabilities of AutoFreeFem by considering shape optimization of a
non-linear diffusion problem, linear and non-linear elasticity problems, a
thermo-elasticity problem and a fluid-structure interaction problem. |
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DOI: | 10.48550/arxiv.2407.11713 |