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A stable discontinuous Galerkin method for linear elastodynamics in 3D geometrically complex elastic solids using physics based numerical fluxes

dc.contributor.authorDuru, Kenneth
dc.contributor.authorRannabauer, Leonhard
dc.contributor.authorGabriel, Alice-Agnes
dc.contributor.authorLing, On Ki Angel
dc.contributor.authorIgel, Heiner
dc.contributor.authorBader, Michael
dc.date.accessioned2023-06-01T04:08:07Z
dc.date.issued2022
dc.date.updated2022-03-27T07:29:06Z
dc.description.abstractTime-stable, high order accurate and explicit numerical methods are effective for hyperbolic wave propagation problems. As a result of the complexities of real geometries, internal interfaces and nonlinear boundary and interface conditions, discontinuities and sharp wave fronts may become fundamental features of the solution. Therefore, geometrically flexible and adaptive numerical algorithms are crucial for high fidelity and efficient simulations of wave phenomena in many applications. Adaptive curvilinear meshes hold promise to minimise the effort to represent complicated geometries or heterogeneous material data avoiding the bottleneck of feature-preserving meshing. To enable the design of stable DG methods on three space dimensional (3D) curvilinear elements we construct a structure preserving skew-symmetric coordinate transformation motivated by the underlying physics. Using a physics-based numerical penalty-flux, we develop a 3D provably energy-stable discontinuous Galerkin finite element approximation of the elastic wave equation in geometrically complex and heterogeneous media. By construction, our numerical flux is upwind and yields a discrete energy estimate analogous to the continuous energy estimate. The ability to treat conforming and non-conforming curvilinear elements allows for flexible adaptive mesh refinement strategies. The numerical scheme has been implemented in ExaHyPE, a simulation engine for parallel dynamically adaptive simulations of wave problems on adaptive Cartesian meshes. We present 3D numerical experiments of wave propagation in heterogeneous isotropic and anisotropic elastic solids demonstrating stability and high order accuracy. We demonstrate the potential of our approach for computational seismology in a regional wave propagation scenario in a geologically constrained 3D model including the geometrically complex free-surface topography of Mount Zugspitze, Germany.en_AU
dc.description.sponsorshipThe authors also acknowledge support by the German Research Foundation (DFG) (Grant Nos. GA 2465/2-1, GA 2465/3-1), by KAUST-CRG (Grant No. ORS-2017-CRG6 3389.02) and by KONWIHR (project NewWave). A.L. is supported by the Swiss Federal Institute of Technology grant (project ETH-10 17–2). Computing resources were provided by the Institute of Geophysics of LMU Munich, Germany [59], the Leibniz Supercomputing Centre, Germany (SuperMUC-NG project pr63qo) and the KAUST Shaheen Supercomputing Laboratory (project k1488).en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0045-7825en_AU
dc.identifier.urihttp://hdl.handle.net/1885/292302
dc.language.isoen_AUen_AU
dc.publisherElsevieren_AU
dc.rights© 2021 Elsevier B.V.en_AU
dc.sourceComputer Methods in Applied Mechanics and Engineeringen_AU
dc.subjectScattering of high frequency seismic surface wavesen_AU
dc.subjectAdaptive discontinuous Galerkin finite element methoden_AU
dc.subjectPhysics-based fluxen_AU
dc.subjectComplex free-surface topographyen_AU
dc.subjectStabilityen_AU
dc.subjectSpectral accuracyen_AU
dc.titleA stable discontinuous Galerkin method for linear elastodynamics in 3D geometrically complex elastic solids using physics based numerical fluxesen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.lastpage33en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationDuru, Kenneth, College of Science, ANUen_AU
local.contributor.affiliationRannabauer, Leonhard, Technical University of Munichen_AU
local.contributor.affiliationGabriel, Alice-Agnes, Ludwig-Maximilian Universityen_AU
local.contributor.affiliationLing, On Ki Angel, Ludwig-Maximilians-Universitaet Muenchenen_AU
local.contributor.affiliationIgel, Heiner, Ludwig Maximilian Universityen_AU
local.contributor.affiliationBader, Michael, Technical University of Munichen_AU
local.contributor.authoruidDuru, Kenneth, u1074121en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor490302 - Numerical analysisen_AU
local.identifier.absfor490303 - Numerical solution of differential and integral equationsen_AU
local.identifier.absseo280110 - Expanding knowledge in engineeringen_AU
local.identifier.absseo280107 - Expanding knowledge in the earth sciencesen_AU
local.identifier.absseo280118 - Expanding knowledge in the mathematical sciencesen_AU
local.identifier.ariespublicationa383154xPUB24677en_AU
local.identifier.citationvolume389en_AU
local.identifier.doi10.1016/j.cma.2021.114386en_AU
local.identifier.scopusID2-s2.0-85120847606
local.publisher.urlhttps://www.elsevier.com/en-auen_AU
local.type.statusPublished Versionen_AU

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