A checkerboard-free, symmetry-preserving, conservative method for magnetohydrodynamics

Many industrial applications, such as nuclear fusion reactor design and aeronautics, require accurate numerical simulation tools, that conserve physical properties, for magnetohydrodynamic (MHD) flows at low magnetic Reynolds numbers. The interaction between the magnetic field and the conductive fluid often results in complex flow phenomena, which require conservative discretisation schemes. These schemes minimise numerical dissipation to improve accuracy, but can lead to the checkerboard problem if applied on collocated grid arrangements, which are necessary in complex geometries. An algorithm is constructed to simulate MHD flows, which relies on the symmetry-preserving discretisation to allow minimal numerical dissipation. Moreover, it quantifies the checkerboard problem, to dynamically balance it with numerical dissipation, only when necessary. Results for a laminar MHD Taylor–Green vortex case show the importance of the symmetry-preserving discretisation, for which the face-to-cell interpolation method is highlighted. Moreover, it is shown that the solver is virtually free from numerical dissipation on uniform meshes, and effectively counter-acts checkerboarding on skew meshes, where other solvers encounter difficulties. Turbulent MHD duct flow cases show the ability of the solver to generate accurate flow statistics and turbulent kinetic energy (TKE) budgets, while mitigating checkerboarding which lead to flow laminarisation in a comparative solver. These findings establish the presented framework as a reliable and efficient approach for MHD simulations at low magnetic Reynolds numbers, particularly where collocated grid arrangements and low numerical dissipation are required.

Authors

Institutions

Publication Details

Journal
Journal of Computational Physics
Published
2025-10-24
DOI
https://doi.org/10.1016/j.jcp.2025.114473
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A checkerboard-free, symmetry-preserving, conservative method for magnetohydrodynamics

F. Xavier Trias, Joaquim Rigola, J.A. Hopman
Journal of Computational Physics
Computational Fluid Dynamics and Aerodynamics
article

A checkerboard-free, symmetry-preserving, conservative method for magnetohydrodynamics

F. Xavier Trias, Joaquim Rigola, J.A. Hopman
article en

Abstract

Many industrial applications, such as nuclear fusion reactor design and aeronautics, require accurate numerical simulation tools, that conserve physical properties, for magnetohydrodynamic (MHD) flows at low magnetic Reynolds numbers. The interaction between the magnetic field and the conductive fluid often results in complex flow phenomena, which require conservative discretisation schemes. These schemes minimise numerical dissipation to improve accuracy, but can lead to the checkerboard problem if applied on collocated grid arrangements, which are necessary in complex geometries. An algorithm is constructed to simulate MHD flows, which relies on the symmetry-preserving discretisation to allow minimal numerical dissipation. Moreover, it quantifies the checkerboard problem, to dynamically balance it with numerical dissipation, only when necessary. Results for a laminar MHD Taylor–Green vortex case show the importance of the symmetry-preserving discretisation, for which the face-to-cell interpolation method is highlighted. Moreover, it is shown that the solver is virtually free from numerical dissipation on uniform meshes, and effectively counter-acts checkerboarding on skew meshes, where other solvers encounter difficulties. Turbulent MHD duct flow cases show the ability of the solver to generate accurate flow statistics and turbulent kinetic energy (TKE) budgets, while mitigating checkerboarding which lead to flow laminarisation in a comparative solver. These findings establish the presented framework as a reliable and efficient approach for MHD simulations at low magnetic Reynolds numbers, particularly where collocated grid arrangements and low numerical dissipation are required.

Journal of Computational PhysicsVol. 545
Leitat Technological Center (ES)
Openalex Percentile: Top 67%
Computational Fluid Dynamics and Aerodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.