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- Publisher Website: 10.1137/18M1222995
- Scopus: eid_2-s2.0-85077062157
- WOS: WOS:000545929400001
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Article: Online adaptive basis enrichment for mixed CEM-GMSFEM
Title | Online adaptive basis enrichment for mixed CEM-GMSFEM |
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Authors | |
Keywords | Darcy fow Multiscale fnite element method Online basis functions |
Issue Date | 2019 |
Citation | Multiscale Modeling and Simulation, 2019, v. 17, n. 4, p. 1103-1122 How to Cite? |
Abstract | In 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 Identifier | http://hdl.handle.net/10722/327675 |
ISSN | 2023 Impact Factor: 1.9 2023 SCImago Journal Rankings: 1.028 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chung, Eric T. | - |
dc.contributor.author | Pun, Sai Mang | - |
dc.date.accessioned | 2023-04-12T04:04:59Z | - |
dc.date.available | 2023-04-12T04:04:59Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Multiscale Modeling and Simulation, 2019, v. 17, n. 4, p. 1103-1122 | - |
dc.identifier.issn | 1540-3459 | - |
dc.identifier.uri | http://hdl.handle.net/10722/327675 | - |
dc.description.abstract | In 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.language | eng | - |
dc.relation.ispartof | Multiscale Modeling and Simulation | - |
dc.subject | Darcy fow | - |
dc.subject | Multiscale fnite element method | - |
dc.subject | Online basis functions | - |
dc.title | Online adaptive basis enrichment for mixed CEM-GMSFEM | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1137/18M1222995 | - |
dc.identifier.scopus | eid_2-s2.0-85077062157 | - |
dc.identifier.volume | 17 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 1103 | - |
dc.identifier.epage | 1122 | - |
dc.identifier.eissn | 1540-3467 | - |
dc.identifier.isi | WOS:000545929400001 | - |