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A High Order Finite Difference Method for the Elastic Wave Equation in Bounded Domains with Nonconforming Interfaces
Department of Applied Physics and Applied Mathematics, Columbia University, NY, New York, United States.
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.ORCID iD: 0000-0002-7954-1576
2022 (English)In: SIAM Journal on Numerical Analysis, ISSN 0036-1429, E-ISSN 1095-7170, Vol. 60, no 3, p. 1516-1547Article in journal (Refereed) Published
Abstract [en]

We develop a stable finite difference method for the elastic wave equation in bounded media, where the material properties can be discontinuous at curved interfaces. The governing equation is discretized in second order form by a fourth or sixth order accurate summation-by-parts operator. The mesh size is determined by the velocity structure of the material, resulting in nonconforming grid interfaces with hanging nodes. We use order-preserving interpolation and the ghost point technique to couple adjacent mesh blocks in an energy-conserving manner, which is supported by a fully discrete stability analysis. In our previous work for the wave equation, two pairs of order-preserving interpolation operators were needed when imposing the interface conditions weakly by a penalty technique. Here, we only use one pair in the ghost point method. In numerical experiments, we demonstrate that the convergence rate is optimal and is the same as when a globally uniform mesh is used in a single domain. In addition, with a predictor-corrector time integration method, we obtain time stepping stability with stepsize almost the same as that given by the usual Courant-Friedrichs-Lewy condition.

Place, publisher, year, edition, pages
Society for Industrial and Applied Mathematics, 2022. Vol. 60, no 3, p. 1516-1547
Keywords [en]
elastic wave equations, finite difference methods, ghost points, nonconforming interfaces, order-preserving interpolation, summation-by-parts
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:umu:diva-198184DOI: 10.1137/21M1422586ISI: 000823235500006Scopus ID: 2-s2.0-85133648033OAI: oai:DiVA.org:umu-198184DiVA, id: diva2:1683871
Funder
Swedish National Infrastructure for Computing (SNIC), 2019/8-263Available from: 2022-07-19 Created: 2022-07-19 Last updated: 2023-09-05Bibliographically approved

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Wang, Siyang

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CiteExportLink to record
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