粘弹性波方程的新型分裂混合有限元分析

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED
Jiansong Zhang, Liping Gao, Yuanshuo Kong, Mei Wang, Guanqi Yang
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引用次数: 0

摘要

本文旨在提出一种新的用于求解粘弹性波方程的分裂混合有限元法(MFE),并给出了收敛性分析。首先,通过引入两个新变量 \(q=u_t\) 和 \(\varvec{sigma }=A(x)\nabla u+B(x)\nabla u_t\),从原来的二阶粘弹性波方程推导出一个新的一阶微分积分方程组。然后,利用 MFE 空间和二阶时间分解,提出了半离散和全离散分裂 MFE 方案。通过这两种方案可以同时得到未知量 u、\(u_t\) 和\(\sigma \)的近似解。研究证明,半离散和全离散方案在 \(L^2\)-norm 条件下具有最优误差估计。同时,证明了基于 Raviart-Thomas 混合有限元空间和均匀矩形网格分区的全离散 SMFE 方案具有超收敛性。最后,通过数值实验计算了u、q和\(\varvec\{sigma }\) 的近似误差及其收敛率,并对误差估计和收敛性进行了理论分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new splitting mixed finite element analysis of the viscoelastic wave equation

This paper aims to propose a new splitting mixed finite element method (MFE) for solving viscoelastic wave equations and give convergence analysis. First, by introducing two new variables \(q=u_t\) and \(\varvec{\sigma }=A(x)\nabla u+B(x)\nabla u_t\), a new system of first-order differential-integral equations is derived from the original second-order viscoelastic wave equation. Then, the semi-discrete and fully-discrete splitting MFE schemes are proposed by using the MFE spaces and the second-order time discetization. By the two schemes the approximate solutions for the unknowns u, \(u_t\) and \(\sigma \) are obtained simultaneously. It is proved that the semi-discrete and fully-discrete schemes have the optimal error estimates in \(L^2\)-norm. Meanwhile, it is proved that the fully-discrete SMFE scheme based on the Raviart-Thomas mixed finite element spaces and the uniform rectangular mesh partitions is super convergent. Finally, numerical experiments to compute the \(L^2\) errors for approximating u, q and \(\varvec{\sigma }\) and their convergence rates are presented, and the theoretical analysis on error estimates and convergence is then confirmed.

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来源期刊
Numerical Algorithms
Numerical Algorithms 数学-应用数学
CiteScore
4.00
自引率
9.50%
发文量
201
审稿时长
9 months
期刊介绍: The journal Numerical Algorithms is devoted to numerical algorithms. It publishes original and review papers on all the aspects of numerical algorithms: new algorithms, theoretical results, implementation, numerical stability, complexity, parallel computing, subroutines, and applications. Papers on computer algebra related to obtaining numerical results will also be considered. It is intended to publish only high quality papers containing material not published elsewhere.
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