Original title:
Numerical minimization of energy functionals in continuum mechanics using hp-FEM in MATLAB
Authors:
Moskovka, Alexej ; Frost, Miroslav ; Valdman, Jan Document type: Papers Conference/Event: Computational mechanics 2023 /38./, Srní (CZ), 20231023
Year:
2023
Language:
eng Abstract:
Many processes in mechanics and thermodynamics can be formulated as a minimization of a particular energy functional. The finite element method can be used for an approximation of such functionals in a finite-dimensional subspace. Consequently, the numerical minimization methods (such as quasi-Newton and trust region) can be used to find a minimum of the functional. Vectorization techniques used for the evaluation of the energy together with the assembly of discrete energy gradient and Hessian sparsity are crucial for evaluation times. A particular model simulating the deformation of a Neo-Hookean solid body is solved in this contribution by minimizing the corresponding energy functional. We implement both P1 and rectangular hp-finite elements and compare their efficiency with respect to degrees of freedom and evaluation times.
Keywords:
energy functionals; hp-FEM; numerical minimization Project no.: GA22-20181S (CEP), GF21-06569K (CEP) Funding provider: GA ČR, GA ČR Host item entry: Computational mechanics 2023. Proceedings of computational mechanics 2023, ISBN 978-80-261-1177-1