Analysis of the Picard-Newton finite element iteration for the stationary incompressible inductionless MHD equations

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED Computers & Mathematics with Applications Pub Date : 2025-01-16 DOI:10.1016/j.camwa.2025.01.016
Xiaodi Zhang, Meiying Zhang, Xianghai Zhou
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Abstract

In this paper, we propose and analyze the Picard-Newton finite element iteration for the stationary incompressible inductionless magnetohydrodynamics (MHD) equations. In finite element discretization, the hydrodynamic unknowns are approximated by stable finite element pairs, and the electromagnetic system is discretized by using the face-volume pairs. To solve the nonlinear discretized problem efficiently, our method consists of first applying the Picard iteration and then applying the Newton iteration. The Picard-Newton iteration is proved to be globally stable under the uniqueness condition and quadratically convergent under the stronger uniqueness condition. Thanks to the improved stability property, this solver has a larger convergence basin than the usual Newton iteration. Numerical tests confirm our theoretical analysis and show that the Picard-Newton iteration dramatically excels both the Picard and Newton iterations in several benchmark problems.
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静止不可压缩无感应MHD方程的皮卡德-牛顿有限元迭代分析
本文提出并分析了静止不可压缩无感磁流体动力学(MHD)方程的皮卡德-牛顿有限元迭代。在有限元离散中,流体动力未知量用稳定有限元对逼近,电磁系统用面-体对离散。为了有效地求解非线性离散化问题,首先采用皮卡德迭代法,然后采用牛顿迭代法。证明了皮卡德-牛顿迭代在唯一性条件下是全局稳定的,在强唯一性条件下是二次收敛的。由于改进了算法的稳定性,该算法比一般的牛顿迭代具有更大的收敛盆。数值测试证实了我们的理论分析,并表明皮卡德-牛顿迭代在一些基准问题上显著优于皮卡德和牛顿迭代。
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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
期刊最新文献
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