Discretisations and Preconditioners for Magnetohydrodynamics Models
Fabian Laakmann

TL;DR
This paper develops scalable numerical methods and preconditioners for solving complex magnetohydrodynamics (MHD) equations, including resistive Hall MHD and anisothermal models, with a focus on robustness, structure preservation, and bifurcation analysis.
Contribution
It introduces a robust augmented Lagrangian preconditioner for MHD equations, structure-preserving finite element methods for Hall MHD, and bifurcation analysis techniques for anisothermal MHD models.
Findings
Robust performance of the solver in 2D and 3D for stationary problems.
Exact divergence-free approximations of velocity and magnetic field.
Identification of bifurcation points and complex solution patterns at high coupling numbers.
Abstract
The magnetohydrodynamics (MHD) equations are generally known to be difficult to solve numerically, due to their highly nonlinear structure and the strong coupling between the electromagnetic and hydrodynamic variables, especially for high Reynolds and coupling numbers. In the first part of this work, we present a scalable augmented Lagrangian preconditioner for a finite element discretisation of the - formulation of the incompressible viscoresistive MHD equations. For stationary problems, our solver achieves robust performance with respect to the Reynolds and coupling numbers in two dimensions and good results in three dimensions. Our approach relies on specialised parameter-robust multigrid methods for the hydrodynamic and electromagnetic blocks. The scheme ensures exactly divergence-free approximations of both the velocity and the magnetic field up to solver…
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Solar and Space Plasma Dynamics · Geomagnetism and Paleomagnetism Studies
