Journal of Computational and Applied Mathematics2022,Vol.40921.DOI:10.1016/j.cam.2022.114160

A multiscale method for the heterogeneous Signorini problem

Su, Xin Pun, Sai-Mang
Journal of Computational and Applied Mathematics2022,Vol.40921.DOI:10.1016/j.cam.2022.114160

A multiscale method for the heterogeneous Signorini problem

Su, Xin 1Pun, Sai-Mang1
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作者信息

  • 1. Texas A&M Univ
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Abstract

In this paper, we develop a multiscale method for solving the Signorini problem with a heterogeneous field. The Signorini problem is encountered in many applications, such as hydrostatics, thermics, and solid mechanics. It is well-known that numerically solving this problem requires a fine computational mesh, which can lead to a large number of degrees of freedom. The aim of this work is to develop a new hybrid multiscale method based on the framework of the generalized multiscale finite element method (GMsFEM). The construction of multiscale basis functions requires local spectral decomposition. Additional multiscale basis functions related to the contact boundary are required so that our method can handle the unilateral condition of the Signorini type naturally. A complete analysis of the proposed method is provided and a result of the spectral convergence is shown. Numerical results are provided to validate our theoretical findings. (C) 2022 Elsevier B.V. All rights reserved.

Key words

Multiscale method/Variational inequality/Hybrid formulation/Unilateral condition/FINITE-ELEMENT METHODS/REDUCED-BASIS APPROXIMATION/WAVE-PROPAGATION/ERROR ESTIMATION/METHOD GMSFEM/FLOWS

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
参考文献量36
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