Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/118794
Campo DC Valoridioma
dc.contributor.authorMaczuga, Pawełen_US
dc.contributor.authorOliver Serra, Alberten_US
dc.contributor.authorPaszyńska, Annaen_US
dc.contributor.authorValseth, Eiriken_US
dc.contributor.authorPaszyński, Maciejen_US
dc.date.accessioned2022-10-10T09:26:58Z-
dc.date.available2022-10-10T09:26:58Z-
dc.date.issued2022en_US
dc.identifier.issn1877-7503en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/118794-
dc.description.abstractAround 1 million kilometers from Earth, five times the distance from Earth to the Moon, a large asteroid passed without harm to the Earth. Theoretically, however, the event of the asteroid falling into Earth, causing the tsunami, is possible since there are over 27,000 near-Earth asteroids [1], and the Earth's surface is covered in 71 percent by water. We introduce a novel graph-grammar-based framework for asteroid tsunami simulations. Our framework adaptively generates the computational mesh of the Earth model. It is built from triangular elements representing the seashore and the seabed. The computational mesh is represented as a graph, with graph vertices representing the computational mesh element's interiors and edges. Mesh refinements are often performed by the longest-edge refinement algorithm. We have expressed this algorithm by only two graph-grammar productions. The resulting graph represents the terrain approximating the topography with a prescribed accuracy. We generalize the graph-grammar mesh refinement algorithm to work on the entire Earth model, allowing the generation of the terrain topography, including the seabed. Having the seashore and the seabed represented by a graph, we introduce the finite element method simulations of the tsunami wave propagation. We illustrate the framework with simulations of the disastrous asteroid falling into the Baltic sea.en_US
dc.languageengen_US
dc.relation.ispartofJournal of Computational Scienceen_US
dc.sourceJournal of Computational Science[ISSN 1877-7503],v. 64, (Octubre 2022)en_US
dc.subject1208 Probabilidaden_US
dc.subject.otherFinite Element Methoden_US
dc.subject.otherGraph Grammaren_US
dc.subject.otherLongest-Edge Refinement Algorithmen_US
dc.subject.otherNon-Linear Wave Equationen_US
dc.subject.otherScientific Computing In Juliaen_US
dc.titleGraph-grammar based algorithm for asteroid tsunami simulationsen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.jocs.2022.101856en_US
dc.identifier.scopus85138476991-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcid0000-0001-7766-6052-
dc.contributor.authorscopusid57806951800-
dc.contributor.authorscopusid57899546200-
dc.contributor.authorscopusid24386032200-
dc.contributor.authorscopusid57191707055-
dc.contributor.authorscopusid23393712700-
dc.relation.volume64en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateOctubre 2022en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INFen_US
dc.description.sjr0,686
dc.description.jcr3,3
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.scieSCIE
dc.description.miaricds10,5
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR SIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.orcid0000-0002-3783-8670-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameOliver Serra, Albert-
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