arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2001.09854math.NAcs.NA
收藏

双曲型守恒律方程高阶龙格-库塔法的边界处理

Boundary treatment of high order Runge-Kutta methods for hyperbolic conservation laws

Weifeng Zhao, Juntao Huang, Steven J. Ruuth

摘要:

在\cite{ZH2019}中,我们发展了一种求解带源项双曲型方程组的隐-显(IMEX)Runge-Kutta(RK)方法的边界处理方法。由于IMEX RK方法包括显式方法作为特例,因此这种边界处理方法自然也适用于显式方法。在本文中,我们研究这种边界处理方法的情况下,显式RK格式的任意阶双曲型守恒律。我们证明了该方法不仅保持了显式RK格式的精度,而且具有良好的稳定性。这与\cite{TS2010,TWSN2012}中的逆Lax-Wendroff方法相比是有利的,其中分析和数值实验先前已经验证了降阶\cite{TS2010,TWSN2012}的存在。此外,我们证明了我们的方法表现良好的强稳定性保持(SSP)RK计划涉及负系数和顺风空间离散。数值结果表明,当边界条件和建议的边界处理是使用,SSP RK计划与负系数仍然允许更大的时间步长比计划与所有非负系数。在这方面,我们的边界处理方法是一个有效的补充SSP RK格式与/无负系数的双曲型守恒律初边值问题。

英文摘要:

In \cite{ZH2019}, we developed a boundary treatment method for implicit-explicit (IMEX) Runge-Kutta (RK) methods for solving hyperbolic systems with source terms. Since IMEX RK methods include explicit ones as special cases, this boundary treatment method naturally applies to explicit methods as well. In this paper, we examine this boundary treatment method for the case of explicit RK schemes of arbitrary order applied to hyperbolic conservation laws. We show that the method not only preserves the accuracy of explicit RK schemes but also possesses good stability. This compares favourably to the inverse Lax-Wendroff method in \cite{TS2010,TWSN2012} where analysis and numerical experiments have previously verified the presence of order reduction \cite{TS2010,TWSN2012}. In addition, we demonstrate that our method performs well for strong-stability-preserving (SSP) RK schemes involving negative coefficients and downwind spatial discretizations. It is numerically shown that when boundary conditions are present and the proposed boundary treatment is used, that SSP RK schemes with negative coefficients still allow for larger time steps than schemes with all non-negative coefficients. In this regard, our boundary treatment method is an effective supplement to SSP RK schemes with/without negative coefficients for initial-boundary value problems for hyperbolic conservation laws.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑