Title
An Adaptive Generalized Multiscale Discontinuous Galerkin Method for High-Contrast Flow Problems.
Abstract
In this paper, we develop an adaptive generalized multiscale discontinuous Galerkin method (GMsDGM) for a class of high-contrast flow problems and derive a priori and a posteriori error estimates for the method. Based on the a posteriori error estimator, we develop an adaptive enrichment algorithm for our GMsDGM and prove its convergence. The adaptive enrichment algorithm gives an automatic way to enrich the approximation space in regions where the solution requires more basis functions, which are shown to perform well compared with a uniform enrichment. We also discuss an approach that adaptively selects multiscale basis functions by correlating the residual to multiscale basis functions (cf. [S. S. Chen, D. L. Donoho, and M. A. Saunders, SIAM Rev., 43 (2001), pp. 129-159]). The proposed error indicators are L-2-based and can be inexpensively computed, which makes our approach efficient. Numerical results are presented that demonstrate the robustness of the proposed error indicators.
Year
DOI
Venue
2018
10.1137/140986189
MULTISCALE MODELING & SIMULATION
Keywords
Field
DocType
adaptivity,high-contrast flow,multiscale finite element method,discontinuous Galerkin method,model reduction
Discontinuous Galerkin method,Mathematical analysis,Flow (psychology),A priori and a posteriori,Mathematics
Journal
Volume
Issue
ISSN
16
3
1540-3459
Citations 
PageRank 
References 
0
0.34
5
Authors
3
Name
Order
Citations
PageRank
Eric T. Chung138846.61
Yalchin Efendiev258167.04
Wing Tat Leung3619.28