CONSTRAINT ENERGY MINIMIZING GENERALIZED MULTISCALE FINITE ELEMENT METHOD FOR CONVECTION DIFFUSION EQUATION
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Detail(s)
Original language | English |
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Pages (from-to) | 735-752 |
Journal / Publication | Multiscale Modeling and Simulation |
Volume | 21 |
Issue number | 2 |
Online published | 5 Jun 2023 |
Publication status | Published - 2023 |
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DOI | DOI |
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Attachment(s) | Documents
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85164295406&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(bec826b3-96c9-49d9-aa30-7ff0c9e42f27).html |
Abstract
In this paper we present and analyze a constraint energy minimizing generalized multiscale finite element method for convection diffusion equations. To define the multiscale basis functions, we first build an auxiliary multiscale space by solving local spectral problems motivated by analysis. Then a constraint energy minimization performed in the oversampling domains is exploited to construct the multiscale space. The resulting multiscale basis functions have a good decay property even for high contrast diffusion and convection coefficients. Furthermore, if the number of oversampling layers is chosen properly, we can prove that the convergence rate is proportional to the coarse meshsize. Our analysis also indicates that the size of the oversampling domain weakly depends on the contrast of the heterogeneous coefficients. Several numerical experiments are presented illustrating the performance of our method. © 2023 Society for Industrial and Applied Mathematics Publications. All rights reserved.
Research Area(s)
- convection diffusion equation, local multiscale basis function, local spectral problem, multiscale method
Citation Format(s)
CONSTRAINT ENERGY MINIMIZING GENERALIZED MULTISCALE FINITE ELEMENT METHOD FOR CONVECTION DIFFUSION EQUATION. / Zhao, Lina; Chung, Eric.
In: Multiscale Modeling and Simulation, Vol. 21, No. 2, 2023, p. 735-752.
In: Multiscale Modeling and Simulation, Vol. 21, No. 2, 2023, p. 735-752.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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