非定常不可压缩MHD方程解耦和线性化混合有限元法的超收敛分析

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Xiaochen Chu , Xiangyu Shi , Dongyang Shi
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引用次数: 0

摘要

本文利用标量辅助变量法(SAV)和零能量贡献法(ZEC)研究了低阶混合有限元法(MFEM)求解非定常不可压缩MHD方程的一阶后向欧拉(BE)隐/显式全离散格式的超收敛性。通过隐式处理线性项和显式处理非线性项,将原问题分解为若干子问题,有效地减少了计算量。特别地,给出了一种新的高精度估计,它对获得预期结果起着必不可少的作用。在此基础上,结合一种简单、有效、经济的插值后处理方法,严格推导了解耦和线性化全离散有限元SAV-BE格式的超接近和超收敛误差估计。推导过程同样适用于ZEC-BE方案。最后进行了相应的数值模拟,验证了理论结果的准确性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Superconvergence analysis of the decoupled and linearized mixed finite element methods for unsteady incompressible MHD equations
The purpose of this article is to explore the superconvergence behavior of the first-order backward-Euler (BE) implicit/explicit fully discrete schemes for the unsteady incompressible MHD equations with low-order mixed finite element method (MFEM) by utilizing the scalar auxiliary variable (SAV) and zero-energy-contribution (ZEC) methods. Through dealing with linear terms in implicit format and nonlinear terms in explicit format, the original problem is decomposed into several subproblems, which effectively reduces the amount of calculation. Particularly, a new high-precision estimation is given, which acts as a requisite role in getting the expected results. Following this, combined with a simple, effective and economic interpolation post-processing approach, the superclose and superconvergence error estimates of the decoupled and linearized fully discrete finite element SAV-BE scheme are rigorously derived. And the derivation process is also applicable to the ZEC-BE scheme. Finally, the corresponding numerical simulations are carried out to confirm the accuracy and reliability of our theoretical findings.
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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).
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