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A Robust Finite Element Method for Linearized Magnetohydrodynamics on General Domains
L Beirão da Veiga1,2, C Lovadina2,3, M Trezzi1
1Dipartimento di Matematica e Applicazioni, Università degli Studi di Milano Bicocca, Via Roberto Cozzi 55, 20125 Milano, Italy.
This study enhances the finite element method for Magnetohydrodynamics (MHD), enabling it to handle complex geometries and irregular solutions effectively. The improved method demonstrates robustness across various fluid and magnetic conditions.
Area of Science:
- Computational physics
- Numerical analysis
- Fluid dynamics
Background:
- The finite element method (FEM) is a powerful numerical technique for solving partial differential equations.
- Linearized Magnetohydrodynamics (MHD) describes the behavior of electrically conducting fluids interacting with magnetic fields.
- Existing FEM for MHD often struggles with non-convex domains and less regular solutions.
Purpose of the Study:
- To generalize and improve the existing finite element method for linearized Magnetohydrodynamics.
- To develop a scheme capable of handling non-convex domains and less regular solutions.
- To prove the robustness of the proposed method with respect to fluid and magnetic Reynolds numbers.
Main Methods:
- Generalization of a previously introduced finite element method for linearized MHD.
- Development of a numerical scheme with enhanced capabilities for domain geometry and solution regularity.
- Theoretical analysis to establish pressure robustness and quasi-robustness properties.
Main Results:
- The proposed FEM scheme successfully handles non-convex domains.
- The method is effective for less regular solutions in MHD problems.
- The scheme is proven to be pressure robust and quasi-robust concerning fluid and magnetic Reynolds numbers.
Conclusions:
- The enhanced FEM provides a more versatile and robust approach for solving linearized MHD problems.
- The method's ability to handle complex scenarios expands its applicability in various scientific and engineering fields.
- Numerical tests validate the theoretical findings, confirming the method's efficacy.
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