三维麦克斯韦方程组的一种新修正方法

IF 2.5 2区 数学 Q1 MATHEMATICS, APPLIED
Meng Chen , Juan Zhang , Linghua Kong , Peng Zhang , Bin He
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引用次数: 0

摘要

ADI法是一种传统而有效的数值方法,有着广泛的应用。用ADI方法求解真空中的麦克斯韦方程组,得到了它的能量方程。但将ADI方法应用于其他介质中求解麦克斯韦方程组时,其能量方程暂时无法得到。为了得到无条件稳定格式的能量方程,首先引入真空三维麦克斯韦方程组条件稳定跃迁格式的能量方程。我们将跨跃方案命名为预修正方案,将其能量方程命名为预修正能量方程。其次,对预修正的能量方程进行修正,得到修正后的能量方程;考虑到修正后的能量方程不能与预先修正的方案匹配。因此,通过在预先修正的能量方程中加入修正项,将修正后的方案进行了反转。此外,我们还提出了带α系数的通用修正方案,该方案可以适应更多的可能性。对一般修正方法进行了稳定性和误差估计。数值结果验证了该方法在时间和空间上的二阶收敛速度,以及在α值无关的情况下的能量守恒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A newly modified method for 3D Maxwell's equation
ADI method is a traditional and effective numerical method, it has a lot of applications. ADI method has already been used to solve Maxwell's equations in vacuum, and its energy equation has been obtained. But when ADI method is applied to solve Maxwell's equations in other media, its energy equation temporarily can't be obtained. To obtain energy equation of unconditionally stable scheme, we first introduced energy equation of the conditionally stable leapfrog schemes for 3D Maxwell's equations in vacuum. We named the leapfrog schemes as the pre-modified schemes and its energy equation named as the pre-modified energy equation. Secondly, the modified energy equation was obtained by using the modification of pre-modified energy equation. Considering the modified energy equation can't match pre-modified schemes. Thus, the modified schemes was reversed by adding the modified term from pre-modified energy equation. Furthermore, we proposed the general modified scheme with α coefficient, and it can be adapted to more possibilities. We performed the stability and error estimate of the general modified methods. Numerical results have been achieved to verify second-order convergence rate in both time and space, and energy-preserving, regardless of the value of α.
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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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