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Article: Computational multiscale methods for quasi-gas dynamic equations

TitleComputational multiscale methods for quasi-gas dynamic equations
Authors
KeywordsConstraint energy minimizing
Generalized multiscale finite element
Multiscale
Quasi gas dynamics
Issue Date2021
Citation
Journal of Computational Physics, 2021, v. 440, article no. 110352 How to Cite?
AbstractIn this paper, we consider the quasi-gas-dynamic (QGD) model in a multiscale environment. The model equations can be regarded as a hyperbolic regularization and are derived from kinetic equations. So far, the research on QGD models has been focused on problems with constant coefficients. In this paper, we investigate the QGD model in multiscale media, which can be used in porous media applications. This multiscale problem is interesting from a multiscale methodology point of view as the model problem has a hyperbolic multiscale term, and designing multiscale methods for hyperbolic equations is challenging. In the paper, we apply the constraint energy minimizing generalized multiscale finite element method (CEM-GMsFEM) combined with the central difference scheme in time to solve this problem. The CEM-GMsFEM provides a flexible and systematical framework to construct crucial multiscale basis functions for approximating the solution to the problem with reduced computational cost. With this approach of spatial discretization, we establish the stability of the fully discretized scheme, based on the coarse grid, under a coarse-scale CFL condition. Complete convergence analysis of the proposed method is presented. Numerical results are provided to illustrate and verify the theoretical findings.
Persistent Identifierhttp://hdl.handle.net/10722/327679
ISSN
2023 Impact Factor: 3.8
2023 SCImago Journal Rankings: 1.679
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChetverushkin, Boris-
dc.contributor.authorChung, Eric-
dc.contributor.authorEfendiev, Yalchin-
dc.contributor.authorPun, Sai Mang-
dc.contributor.authorZhang, Zecheng-
dc.date.accessioned2023-04-12T04:05:01Z-
dc.date.available2023-04-12T04:05:01Z-
dc.date.issued2021-
dc.identifier.citationJournal of Computational Physics, 2021, v. 440, article no. 110352-
dc.identifier.issn0021-9991-
dc.identifier.urihttp://hdl.handle.net/10722/327679-
dc.description.abstractIn this paper, we consider the quasi-gas-dynamic (QGD) model in a multiscale environment. The model equations can be regarded as a hyperbolic regularization and are derived from kinetic equations. So far, the research on QGD models has been focused on problems with constant coefficients. In this paper, we investigate the QGD model in multiscale media, which can be used in porous media applications. This multiscale problem is interesting from a multiscale methodology point of view as the model problem has a hyperbolic multiscale term, and designing multiscale methods for hyperbolic equations is challenging. In the paper, we apply the constraint energy minimizing generalized multiscale finite element method (CEM-GMsFEM) combined with the central difference scheme in time to solve this problem. The CEM-GMsFEM provides a flexible and systematical framework to construct crucial multiscale basis functions for approximating the solution to the problem with reduced computational cost. With this approach of spatial discretization, we establish the stability of the fully discretized scheme, based on the coarse grid, under a coarse-scale CFL condition. Complete convergence analysis of the proposed method is presented. Numerical results are provided to illustrate and verify the theoretical findings.-
dc.languageeng-
dc.relation.ispartofJournal of Computational Physics-
dc.subjectConstraint energy minimizing-
dc.subjectGeneralized multiscale finite element-
dc.subjectMultiscale-
dc.subjectQuasi gas dynamics-
dc.titleComputational multiscale methods for quasi-gas dynamic equations-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jcp.2021.110352-
dc.identifier.scopuseid_2-s2.0-85107297164-
dc.identifier.volume440-
dc.identifier.spagearticle no. 110352-
dc.identifier.epagearticle no. 110352-
dc.identifier.eissn1090-2716-
dc.identifier.isiWOS:000674503400008-

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