A high-fidelity finite volume scheme for ideal magnetohydrodynamics equations using boundary variation diminishing algorithm
Pan Chenxi, Song Sheng, Chen Chungang, Li Xingliang, Shen Xueshun,, Xiao Feng

TL;DR
This paper introduces a high-fidelity finite volume scheme for ideal MHD equations using a boundary variation diminishing algorithm, achieving high accuracy and stability in capturing complex MHD flows with discontinuities.
Contribution
It presents the first high-fidelity MHD model employing the BVD algorithm, combining hybrid reconstruction and constrained transport for improved accuracy and stability.
Findings
Achieves third-order accuracy in convergence tests.
Effectively captures strong shock waves without spurious oscillations.
Outperforms existing WENO schemes in accuracy for smooth and discontinuous structures.
Abstract
A high-fidelity finite volume scheme based on the BVD (boundary variation diminishing) concept is proposed in this study to solve the ideal magnetohydrodynamics (MHD) equations. A hybrid spatial reconstruction profile, consisting of a quadratic polynomial and a steepness-adjustable hyperbolic tangent function, is adopted to reproduce the accurate solutions of the complex magnetohydrodynamics flows. The BVD principle is used to find a optimal combination of these two types of spatial reconstructions by comparing the variations of the interface values interpolated in two adjacent cells, aiming to remove the non-physical oscillations around discontinuities by switching the quadratic polynomial to a step-shaped function. Additionally, a constrained transport (CT) method is applied in this study to assure the non-divergent solution of the magnetic field. The widely used numerical tests in…
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Taxonomy
TopicsLattice Boltzmann Simulation Studies · Advanced Numerical Methods in Computational Mathematics · Computational Fluid Dynamics and Aerodynamics
