Constraint energy minimization generalized multiscale finite element method in mixed formulation for parabolic equations
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 455-475 |
Journal / Publication | Mathematics and Computers in Simulation |
Volume | 188 |
Online published | 24 Apr 2021 |
Publication status | Published - Oct 2021 |
Externally published | Yes |
Link(s)
Abstract
In this paper, we develop the constraint energy minimization generalized multiscale finite element method (CEM-GMsFEM) in mixed formulation applied to parabolic equations with heterogeneous diffusion coefficients. The construction of the method is based on two multiscale spaces: pressure multiscale space and velocity multiscale space. The pressure space is constructed via a set of well-designed local spectral problems, which can be solved independently. Based on the computed pressure multiscale space, we will construct the velocity multiscale space by applying constrained energy minimization. The convergence of the proposed method is proved. In particular, we prove that the convergence of the method depends only on the coarse grid size, and is independent of the heterogeneities and contrast of the diffusion coefficient. Four typical types of permeability fields are exploited in the numerical simulations, and the results indicate that our proposed method works well and gives efficient and accurate numerical solutions.
Research Area(s)
- Multiscale finite element method, Multiscale problems, Parabolic equations
Citation Format(s)
Constraint energy minimization generalized multiscale finite element method in mixed formulation for parabolic equations. / Wang, Yiran; Chung, Eric; Zhao, Lina.
In: Mathematics and Computers in Simulation, Vol. 188, 10.2021, p. 455-475.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review