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Energy Bounds for Discontinuous Galerkin Spectral Element Approximations of Well-Posed Overset Grid Problems for Hyperbolic Systems
Department of Mathematics, The Florida State University, Tallahassee, FL 32306, USA; Computational Science Research Center, San Diego State University, San Diego, CA, USA.
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Mathematics, Applied Mathematics.ORCID iD: 0000-0002-5902-1522
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Mathematics, Applied Mathematics. Department of Mathematics and Applied Mathematics University of Johannesburg P.O, Auckland Park 2006, South Africa.ORCID iD: 0000-0002-7972-6183
2025 (English)In: Journal of Computational Physics, ISSN 0021-9991, E-ISSN 1090-2716, Vol. 520, article id 113508Article in journal (Refereed) Published
Abstract [en]

We show that even though the Discontinuous Galerkin Spectral Element Method is stable for hyperbolic boundary-value problems, and the overset domain problem is well-posed in an appropriate norm, the energy of the approximation of the latter is bounded by data only for fixed polynomial order, mesh, and time. In the absence of dissipation, coupling of the overlapping domains is destabilizing by allowing positive eigenvalues in the system to be integrated in time. This coupling can be stabilized in one space dimension by using the upwind numerical flux. To help provide additional dissipation, we introduce a novel penalty method that applies dissipation at arbitrary points within the overlap region and depends only on the difference between the solutions. We present numerical experiments in one space dimension to illustrate the implementation of the well-posed penalty formulation, and show spectral convergence of the approximations when sufficient dissipation is applied.

Place, publisher, year, edition, pages
Elsevier BV , 2025. Vol. 520, article id 113508
Keywords [en]
Overset grids; Chimera method; Well-posedness; Stability; Penalty methods
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:liu:diva-208715DOI: 10.1016/j.jcp.2024.113508ISI: 001341108700001OAI: oai:DiVA.org:liu-208715DiVA, id: diva2:1907012
Funder
Swedish Research Council, 2020-03642 VRSwedish Research Council, 2021-05484 VRAvailable from: 2024-10-21 Created: 2024-10-21 Last updated: 2024-11-06

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Winters, Andrew RossNordström, Jan

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