File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Computational multiscale methods for first-order wave equation using mixed CEM-GMsFEM

TitleComputational multiscale methods for first-order wave equation using mixed CEM-GMsFEM
Authors
KeywordsConstraint energy minimization
GMsFEM
Mixed formulation
Wave propagation
Issue Date2020
Citation
Journal of Computational Physics, 2020, v. 409, article no. 109359 How to Cite?
AbstractIn this paper, we consider a pressure-velocity formulation of the heterogeneous wave equation and employ the constraint energy minimizing generalized multiscale finite element method (CEM-GMsFEM) to solve this problem. The proposed method provides a flexible framework to construct crucial multiscale basis functions for approximating the pressure and velocity. These basis functions are constructed by solving a class of local auxiliary optimization problems over the eigenspaces that contain local information on the heterogeneity. Techniques of oversampling are adapted to enhance the computational performance. The first-order convergence of the proposed method is proved and illustrated by several numerical tests.
Persistent Identifierhttp://hdl.handle.net/10722/327672
ISSN
2023 Impact Factor: 3.8
2023 SCImago Journal Rankings: 1.679
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChung, Eric-
dc.contributor.authorPun, Sai Mang-
dc.date.accessioned2023-04-12T04:04:58Z-
dc.date.available2023-04-12T04:04:58Z-
dc.date.issued2020-
dc.identifier.citationJournal of Computational Physics, 2020, v. 409, article no. 109359-
dc.identifier.issn0021-9991-
dc.identifier.urihttp://hdl.handle.net/10722/327672-
dc.description.abstractIn this paper, we consider a pressure-velocity formulation of the heterogeneous wave equation and employ the constraint energy minimizing generalized multiscale finite element method (CEM-GMsFEM) to solve this problem. The proposed method provides a flexible framework to construct crucial multiscale basis functions for approximating the pressure and velocity. These basis functions are constructed by solving a class of local auxiliary optimization problems over the eigenspaces that contain local information on the heterogeneity. Techniques of oversampling are adapted to enhance the computational performance. The first-order convergence of the proposed method is proved and illustrated by several numerical tests.-
dc.languageeng-
dc.relation.ispartofJournal of Computational Physics-
dc.subjectConstraint energy minimization-
dc.subjectGMsFEM-
dc.subjectMixed formulation-
dc.subjectWave propagation-
dc.titleComputational multiscale methods for first-order wave equation using mixed CEM-GMsFEM-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jcp.2020.109359-
dc.identifier.scopuseid_2-s2.0-85079852641-
dc.identifier.volume409-
dc.identifier.spagearticle no. 109359-
dc.identifier.epagearticle no. 109359-
dc.identifier.eissn1090-2716-
dc.identifier.isiWOS:000522726000012-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats