不可压缩MHD方程约束输运模型的全离散有限元方法

Xiaodi Zhang, Haiyan Su, Xianzhu Li
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引用次数: 1

摘要

本文提出并分析了不可压缩磁流体动力学(MHD)方程的约束输运(CT)模型的全离散有限元方法。空间离散是基于混合有限元的,其中流体动力未知量由稳定有限元对近似,磁场和磁矢量位由H(旋度)一致的边缘单元离散。时间推进结合了向后欧拉格式和一些微妙的隐式显式处理非线性和耦合项。通过这些处理,完全离散格式是线性的,并且磁矢量势的计算与整个耦合系统解耦。该方案最吸引人的特点是可以在离散水平上得到完全无发散的磁场和电流密度。严格证明了该方案的唯一可解性和无条件稳定性。利用能量参数,进一步证明了在低正则性假设下精确解的速度、磁场和磁矢势的误差估计。数值结果验证了理论分析和所提方案的有效性。
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A fully discrete finite element method for a constrained transport model of the incompressible MHD equations
In this paper, we propose and analyze a fully discrete finite element method for a constrained transport (CT) model of the incompressible magnetohydrodynamic (MHD) equations. The spatial discretization is based on mixed finite elements, where the hydrodynamic unknowns are approximated by stable finite element pairs, the magnetic field and magnetic vector potential are discretized by H(curl)-conforming edge element. The time marching is combining a backward Euler scheme and some subtle implicit-explicit treatments for nonlinear and coupling terms. With these treatments, the fully discrete scheme is linear and the computation of the magnetic vector potential is decoupled from the whole coupled system. The most attractive feature of this scheme that it can yield the exactly divergence-free magnetic field and current density on the discrete level. The unique solvability and unconditional stability of the scheme are also proved rigorously. By utilizing the energy argument, error estimates for the velocity, magnetic field and magnetic vector potential are further demonstrated under the low regularity hypothesis for the exact solutions. Numerical results are provided to verify the theoretical analysis and to show the effectiveness of the proposed scheme.
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来源期刊
CiteScore
2.70
自引率
5.30%
发文量
27
审稿时长
6-12 weeks
期刊介绍: M2AN publishes original research papers of high scientific quality in two areas: Mathematical Modelling, and Numerical Analysis. Mathematical Modelling comprises the development and study of a mathematical formulation of a problem. Numerical Analysis comprises the formulation and study of a numerical approximation or solution approach to a mathematically formulated problem. Papers should be of interest to researchers and practitioners that value both rigorous theoretical analysis and solid evidence of computational relevance.
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