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A Splitting Nearly-Analytic Symplectic Partitioned Runge–Kutta Method for Solving 2D Elastic Wave Equations.

Authors :
Yun, Nam
Sim, Chol
Kim, JuWon
Source :
International Journal of Computational Methods; Mar2024, Vol. 21 Issue 2, p1-22, 22p
Publication Year :
2024

Abstract

In this paper, we present a new splitting nearly-analytic symplectic partitioned Runge–Kutta (SNSPRK) method for the two-dimensional (2D) elastic wave equations. It is an extension to elastic wave equation of our recent work on the locally one-dimensional nearly-analytic symplectic partitioned Runge–Kutta (LOD-NSPRK) method for the 2D acoustic wave equations. The method is based on the spatial differential operator-split technique, in which the resulting spatial discrete matrices are symmetric unlike the conventional nearly-analytic symplectic partitioned Runge–Kutta (NSPRK) method. The stability condition is given, which has more relax restriction for the time step than the NSPRK schemes. To show the performance of the new method, numerical experiments are given. Numerical results illustrate that the SNSPRK method has better long-term calculation capability as time proceeds than the NSPRK method. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02198762
Volume :
21
Issue :
2
Database :
Complementary Index
Journal :
International Journal of Computational Methods
Publication Type :
Academic Journal
Accession number :
176107764
Full Text :
https://doi.org/10.1142/S0219876223500287