A Locally Divergence-Free Local Characteristic Decomposition Based Path-Conservative Central-Upwind Scheme for Ideal Magnetohydrodynamics
Shaoshuai Chu, Alexander Kurganov, Maria Lukacova-Medvidova, Mingye Na

TL;DR
This paper presents a novel low-dissipation numerical scheme for ideal magnetohydrodynamics that maintains divergence-free magnetic fields, improving solution accuracy in benchmark tests.
Contribution
It introduces a locally divergence-free characteristic decomposition into a path-conservative central-upwind scheme for MHD, reducing dissipation and enhancing resolution.
Findings
Enhanced resolution in benchmark tests
Reduced numerical dissipation
Maintains divergence-free magnetic fields
Abstract
We introduce a locally divergence-free local characteristic decomposition based path-conservative central-upwind (LCD-PCCU) scheme for ideal magnetohydrodynamics (MHD) equations. The proposed method is a low-dissipation extension of the recently proposed locally divergence-free PCCU scheme. To reduce the numerical dissipation, we incorporate the LCD into the PCCU framework. The resulting LCD-PCCU method enhances the resolution of numerical solutions as demonstrated through a series of benchmark tests.
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Taxonomy
TopicsModel Reduction and Neural Networks · Advanced Numerical Methods in Computational Mathematics · Computational Fluid Dynamics and Aerodynamics
