Unconditional optimal first‐order error estimates of a full pressure segregation scheme for the magnetohydrodynamics equations

IF 2.1 3区 数学 Q1 MATHEMATICS, APPLIED Numerical Methods for Partial Differential Equations Pub Date : 2024-03-16 DOI:10.1002/num.23098
Yun‐Bo Yang, Yao‐Lin Jiang
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Abstract

In this article, a first‐order linear fully discrete pressure segregation scheme is studied for the time‐dependent incompressible magnetohydrodynamics (MHD) equations in three‐dimensional bounded domain. Based on an incremental pressure projection method, this scheme allows us to decouple the MHD system into two sub‐problems at each time step, one is the velocity‐magnetic field system, the other is the pressure system. Firstly, a coupled linear elliptic system is solved for the velocity and the magnetic field. Next, a Poisson‐Neumann problem is treated for the pressure. We analyze the temporal error and the spatial error, respectively, and derive the temporal‐spatial error estimates of for the velocity and the magnetic field in the discrete space and for the pressure in the discrete space without imposing constraints on the mesh width and the time step size . Finally, some numerical results are presented to confirm the theoretical predictions and demonstrate the efficiency of the method.
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磁流体力学方程全压力隔离方案的无条件最优一阶误差估计
本文研究了三维有界域中与时间相关的不可压缩磁流体力学(MHD)方程的一阶线性全离散压力分离方案。基于增量压力投影法,该方案允许我们在每个时间步将 MHD 系统解耦为两个子问题,一个是速度磁场系统,另一个是压力系统。首先,求解速度和磁场的耦合线性椭圆系统。接着,处理压力的泊松-诺伊曼问题。我们分别分析了时间误差和空间误差,并在不对网格宽度和时间步长施加约束的情况下,得出了离散空间中速度和磁场以及离散空间中压力的时空误差估计值。最后,给出了一些数值结果,以证实理论预测并证明该方法的效率。
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来源期刊
CiteScore
7.20
自引率
2.60%
发文量
81
审稿时长
9 months
期刊介绍: An international journal that aims to cover research into the development and analysis of new methods for the numerical solution of partial differential equations, it is intended that it be readily readable by and directed to a broad spectrum of researchers into numerical methods for partial differential equations throughout science and engineering. The numerical methods and techniques themselves are emphasized rather than the specific applications. The Journal seeks to be interdisciplinary, while retaining the common thread of applied numerical analysis.
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