Variants of Raviart-Thomas mixed elements for curved domains using straight-edged tetrahedra
Vittoriano Ruas

TL;DR
This paper extends Raviart-Thomas mixed finite element methods for curved domains from 2D to 3D, focusing on boundary flux enforcement and comparing different formulations through numerical experiments.
Contribution
It introduces a natural extension of a 2D boundary flux enforcement method to 3D tetrahedral meshes and evaluates its performance against existing strategies.
Findings
The 3D extension performs comparably to 2D methods.
Straight-edged tetrahedra with Petrov-Galerkin formulation improve boundary flux accuracy.
Hermite analog shows enhanced performance in lowest order methods.
Abstract
A numerical study of tetrahedral Raviart-Thomas mixed finite element methods is presented in the solution of model second order boundary value problems posed in a curved spatial domain. An emphasis is given to the case where normal fluxes are prescribed on a boundary portion. In this case the question on the best way to enforce known boundary degrees of freedom is raised. It seems intuitive that the normal component of the flux variable should preferably not take up corresponding prescribed values at nodes shifted to the boundary of the approximating polyhedron in the underlying normal direction. This is because an accuracy downgrade is to be expected, as shown in https://doi.org/10.1137/15M1045442 and https://doi.org/10.1051/m2an/2025028. In the former work accuracy improvement is achieved by means of a standard Galerkin formulation with parametric elements. The latter one in turn…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Numerical methods in engineering · Electromagnetic Simulation and Numerical Methods
