Volume 56, Number 3, May-June 2022
|Page(s)||969 - 1005|
|Published online||25 April 2022|
Convergence analysis of a fully discrete finite element method for thermally coupled incompressible MHD problems with temperature-dependent coefficients
School of Mathematics, Shandong University, Jinan 250100, P.R. China
2 College of Mathematics and Information Science, Henan University of Economics and Law, Zhengzhou 450047, P.R. China
3 NCMIS, LSEC, Institute of Computational Mathematics and Scientific/Enginnering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, School of Mathematical Science, University of Chinese Academy of Sciences, Beijing 100190, P.R. China
* Corresponding author: firstname.lastname@example.org
Accepted: 12 March 2022
In this paper, we study a fully discrete finite element scheme of thermally coupled incompressible magnetohydrodynamic with temperature-dependent coefficients in Lipschitz domain. The variable coefficients in the MHD system and possible nonconvex domain may cause nonsmooth solutions. We propose a fully discrete Euler semi-implicit scheme with the magnetic equation approximated by Nédélec edge elements to capture the physical solutions. The fully discrete scheme only needs to solve one linear system at each time step and is unconditionally stable. Utilizing the stability of the numerical scheme and the compactness method, the existence of weak solution to the thermally coupled MHD model in three dimensions is established. Furthermore, the uniqueness of weak solution and the convergence of the proposed numerical method are also rigorously derived. Under the hypothesis of a low regularity for the exact solution, we rigorously establish the error estimates for the velocity, temperature and magnetic induction unconditionally in the sense that the time step is independent of the spacial mesh size.
Mathematics Subject Classification: 65M60 / 65M15 / 76W05
Key words: Magnetohydrodynamics / temperature-dependent coefficients / finite element method / well-posedness / convergence / error estimates
© The authors. Published by EDP Sciences, SMAI 2022
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