JOURNAL OF COMPUTATIONAL PHYSICS | 卷:428 |
Enhanced multiscale restriction-smoothed basis (MsRSB) preconditioning with applications to porous media flow and geomechanics | |
Article | |
Bosma, Sebastian B. M.1  Klevtsov, Sergey1  Moyner, Olav2,3  Castelletto, Nicola4  | |
[1] Stanford Univ, Dept Energy Resources Engn, Stanford, CA 94305 USA | |
[2] SINTEF Digital, Trondheim, Norway | |
[3] Norwegian Univ Sci & Technol, Dept Math Sci, Trondheim, Norway | |
[4] Lawrence Livermore Natl Lab, Atmospher Earth & Energy Div, Livermore, CA 94550 USA | |
关键词: Multiscale methods; MsRSB; Multipoint flux approximation; Finite element method; Preconditioning; Geomechanics; | |
DOI : 10.1016/j.jcp.2020.109934 | |
来源: Elsevier | |
【 摘 要 】
A novel method to enable application of the Multiscale Restricted Smoothed Basis (MsRSB) method to non M-matrices is presented. The original MsRSB method is enhanced with a filtering strategy enforcing M-matrix properties to enable the robust application of MsRSB as a preconditioner. Through applications to porous media flow and linear elastic geomechanics, the method is proven to be effective for scalar and vector problems with multipoint finite volume (FV) and finite element (FE) discretization schemes, respectively. Realistic complex (un)structured twoand three-dimensional test cases are considered to illustrate the method's performance. (c) 2020 Elsevier Inc. All rights reserved.
【 授权许可】
Free
【 预 览 】
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