Published September 1, 2016 | Version Submitted
Journal Article Open

Adaptive multiscale model reduction with Generalized Multiscale Finite Element Methods

  • 1. ROR icon Chinese University of Hong Kong
  • 2. ROR icon Texas A&M University
  • 3. ROR icon California Institute of Technology

Abstract

In this paper, we discuss a general multiscale model reduction framework based on multiscale finite element methods. We give a brief overview of related multiscale methods. Due to page limitations, the overview focuses on a few related methods and is not intended to be comprehensive. We present a general adaptive multiscale model reduction framework, the Generalized Multiscale Finite Element Method. Besides the method's basic outline, we discuss some important ingredients needed for the method's success. We also discuss several applications. The proposed method allows performing local model reduction in the presence of high contrast and no scale separation.

Additional Information

© 2016 Elsevier Inc. Received 15 February 2016. Accepted 27 April 2016. Available online 13 May 2016. YE would like to thank the partial support from the U.S. Department of Energy Office of Science, Office of Advanced Scientific Computing Research, Applied Mathematics program under Award Number DE-FG02-13ER26165 and National Priorities Research Program (NPRP) grant 7-1482-1278 from the Qatar National Research Fund. TYH's research was in part supported by DOE Grant DE-FG02-06ER257, and NSF Grant Nos.DMS-1318377, DMS-1159138. EC's research was in part supported by Hong Kong RGC General Research Fund Project No. 400813.

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Additional details

Identifiers

Eprint ID
68668
DOI
10.1016/j.jcp.2016.04.054
Resolver ID
CaltechAUTHORS:20160624-151830832

Funding

Department of Energy (DOE)
DE-FG02-13ER26165
Qatar National Research Fund
7-1482-1278
Department of Energy (DOE)
DE-FG02-06ER25727
NSF
DMS-1318377
NSF
DMS-1159138
Hong Kong Research Grant Council
400813

Dates

Created
2016-06-26
Created from EPrint's datestamp field
Updated
2021-11-11
Created from EPrint's last_modified field