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Article: Online adaptive basis enrichment for mixed CEM-GMSFEM

TitleOnline adaptive basis enrichment for mixed CEM-GMSFEM
Authors
KeywordsDarcy fow
Multiscale fnite element method
Online basis functions
Issue Date2019
Citation
Multiscale Modeling and Simulation, 2019, v. 17, n. 4, p. 1103-1122 How to Cite?
AbstractIn this research, an online basis enrichment strategy for the constraint energy minimizing generalized multiscale fnite element method in mixed formulation is proposed. The online approach is based on the technique of oversampling. One makes use of the information of residual and the data in the partial diferential equation such as the source function. The analysis presented shows that the proposed online enrichment leads to a fast convergence from multiscale approximation to the fne-scale solution. The error reduction can be made sufciently large by suitably selecting oversampling regions and the number of oversampling layers. Also, the convergence rate of the enrichment can be tuned by a user-defned parameter. Numerical results are provided to illustrate the efciency of the proposed method.
Persistent Identifierhttp://hdl.handle.net/10722/327675
ISSN
2023 Impact Factor: 1.9
2023 SCImago Journal Rankings: 1.028
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChung, Eric T.-
dc.contributor.authorPun, Sai Mang-
dc.date.accessioned2023-04-12T04:04:59Z-
dc.date.available2023-04-12T04:04:59Z-
dc.date.issued2019-
dc.identifier.citationMultiscale Modeling and Simulation, 2019, v. 17, n. 4, p. 1103-1122-
dc.identifier.issn1540-3459-
dc.identifier.urihttp://hdl.handle.net/10722/327675-
dc.description.abstractIn this research, an online basis enrichment strategy for the constraint energy minimizing generalized multiscale fnite element method in mixed formulation is proposed. The online approach is based on the technique of oversampling. One makes use of the information of residual and the data in the partial diferential equation such as the source function. The analysis presented shows that the proposed online enrichment leads to a fast convergence from multiscale approximation to the fne-scale solution. The error reduction can be made sufciently large by suitably selecting oversampling regions and the number of oversampling layers. Also, the convergence rate of the enrichment can be tuned by a user-defned parameter. Numerical results are provided to illustrate the efciency of the proposed method.-
dc.languageeng-
dc.relation.ispartofMultiscale Modeling and Simulation-
dc.subjectDarcy fow-
dc.subjectMultiscale fnite element method-
dc.subjectOnline basis functions-
dc.titleOnline adaptive basis enrichment for mixed CEM-GMSFEM-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1137/18M1222995-
dc.identifier.scopuseid_2-s2.0-85077062157-
dc.identifier.volume17-
dc.identifier.issue4-
dc.identifier.spage1103-
dc.identifier.epage1122-
dc.identifier.eissn1540-3467-
dc.identifier.isiWOS:000545929400001-

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