Volume 48, Issue 12 pp. 12068-12084
RESEARCH ARTICLE

A Projection Method With Modular Grad-Div Stabilization for Inductionless Magnetohydrodynamic Equations Based on Charge Conservation

Yun-Bo Yang

Yun-Bo Yang

Department of Mathematics, Yunnan Normal University, Kunming, China

Yunnan Key Laboratory of Model Analytical Mathematics and Application, Yunnan Normal University, Kunming, China

Key Laboratory of Complex System Modeling and Application for Universities in Yunnan, Yunnan Normal University, Kunming, China

Contribution: Conceptualization, ​Investigation, Funding acquisition, Writing - original draft, Visualization, Validation, Methodology, Software, Formal analysis, Resources, Supervision

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Yande Xia

Corresponding Author

Yande Xia

Department of Mathematics, Yunnan Normal University, Kunming, China

Correspondence:

Yande Xia ([email protected])

Contribution: Software, Formal analysis, Writing - review & editing, Visualization, Methodology, ​Investigation, Writing - original draft

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First published: 04 May 2025

Funding: This work was supported by the Natural Science Foundation of China (NSFC) under grant 12161095, the Basic Research Program Project of Yunnan Province (no. 202201AT070032), the Yunnan Key Laboratory of Modern Analytical Mathematics and Applications (no. 202302AN360007), and the Cross-integration Innovation team of modern Applied Mathematics and Life Sciences in Yunnan Province, China (202405AS350003).

ABSTRACT

In this paper, we proposed a fully discrete projection method with modular grad-div stabilization for solving the time-dependent inductionless magnetohydrodynamic equations. The method incorporates a minimally intrusive module into the classical projection method, serving as a postprocessing step, thereby enhancing solution accuracy and improving mass conservation. Additionally, a decoupled strategy is employed to separate the magnetic and fluid field functions from the original system. Since we only need to solve several linear subsystems at each time step, the numerical solutions can be obtained efficiently. In the spatial discretization, H 0 ( div , Ω ) × L 0 2 ( Ω ) $$ {\mathbf{H}}_0\left(\operatorname{div},\Omega \right)\times {L}_0^2\left(\Omega \right) $$ -conforming finite element pair is used to approximate the current density and electric potential, ensuring that the discrete current density is exactly divergence-free. Therefore, the designed numerical scheme maintains the features of linearization, decoupling, unconditional energy stability, charge conservation, and improved mass conservation. The unconditional energy stability and convergence of the algorithm are rigorously analyzed and proven. Numerical results are presented to verify the robustness of the algorithm with respect to the stabilization parameters and to demonstrate the performance of the scheme, particularly in terms of its stability and accuracy.

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