A fully discrete finite element method for unsteady magnetohydrodynamic flow in porous media

IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED Communications in Nonlinear Science and Numerical Simulation Pub Date : 2025-06-01 Epub Date: 2025-03-04 DOI:10.1016/j.cnsns.2025.108735
Qianqian Ding , Shipeng Mao , Xiaorong Wang
{"title":"A fully discrete finite element method for unsteady magnetohydrodynamic flow in porous media","authors":"Qianqian Ding ,&nbsp;Shipeng Mao ,&nbsp;Xiaorong Wang","doi":"10.1016/j.cnsns.2025.108735","DOIUrl":null,"url":null,"abstract":"<div><div>This article explores the unsteady magnetohydrodynamic (MHD) model within the framework of porous media flow. This model consists of the Brinkman–Forchheimer equations and Maxwell equations in the porous media domain, which are coupled by the Lorentz force. We propose and analyze a numerical discretization method for MHD porous model. The second-order backward difference formula is utilized for temporal derivative terms, and the mixed finite element method is employed for spatial discretization. Rigorous proofs of stability and uniqueness are provided for the numerical solutions. We establish optimal <span><math><msup><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span>-error estimates for the velocity and magnetic induction without imposing constraints on the relationship between the time step and mesh size. Finally, several three-dimensional numerical experiments are performed to illustrate the features of the proposed numerical method and validate the theoretical findings. To our knowledge, this is the first error analysis and simulation to address unsteady MHD flow through porous media.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"145 ","pages":"Article 108735"},"PeriodicalIF":3.8000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425001467","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/4 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

This article explores the unsteady magnetohydrodynamic (MHD) model within the framework of porous media flow. This model consists of the Brinkman–Forchheimer equations and Maxwell equations in the porous media domain, which are coupled by the Lorentz force. We propose and analyze a numerical discretization method for MHD porous model. The second-order backward difference formula is utilized for temporal derivative terms, and the mixed finite element method is employed for spatial discretization. Rigorous proofs of stability and uniqueness are provided for the numerical solutions. We establish optimal L2-error estimates for the velocity and magnetic induction without imposing constraints on the relationship between the time step and mesh size. Finally, several three-dimensional numerical experiments are performed to illustrate the features of the proposed numerical method and validate the theoretical findings. To our knowledge, this is the first error analysis and simulation to address unsteady MHD flow through porous media.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
多孔介质中非定常磁流体动力流动的全离散有限元方法
本文探讨了多孔介质流动框架下的非定常磁流体力学模型。该模型由多孔介质域的Brinkman-Forchheimer方程和Maxwell方程组成,并由洛伦兹力耦合。提出并分析了MHD多孔模型的数值离散化方法。时间导数项采用二阶后向差分公式,空间离散采用混合有限元法。给出了数值解的稳定性和唯一性的严格证明。我们建立了速度和磁感应的最优l2误差估计,而没有对时间步长和网格尺寸之间的关系施加约束。最后,进行了三维数值实验,以说明所提出的数值方法的特点,并验证了理论结果。据我们所知,这是第一次针对多孔介质中MHD非定常流动的误差分析和模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
期刊最新文献
A temporally second-order positivity-preserving unified gas-kinetic scheme for plasma simulation A theoretical analysis of information leakage and market efficiency under forecast announcements On a numerical sensitivity approach involving Minkowski deformations for solving shape optimization problems constrained by a semi-linear PDE Identifying key parameters in an Alzheimer’s model through comprehensive sensitivity analysis Rapid radiative transfer neural network for weather forecasting acceleration
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1