Journal of Computational and Applied Mathematics2022,Vol.41216.DOI:10.1016/j.cam.2022.114323

Residual-based a posteriori error estimators for mixed finite element methods for fourth order elliptic singularly perturbed problems

Du, Shaohong Lin, Runchang Zhang, Zhimin
Journal of Computational and Applied Mathematics2022,Vol.41216.DOI:10.1016/j.cam.2022.114323

Residual-based a posteriori error estimators for mixed finite element methods for fourth order elliptic singularly perturbed problems

Du, Shaohong 1Lin, Runchang 2Zhang, Zhimin1
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作者信息

  • 1. Beijing Computat Sci Res Ctr
  • 2. Texas A&M Int Univ
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Abstract

We consider mixed finite element approximation of a singularly perturbed fourth-order elliptic problem with two different boundary conditions, and present a new measure of the error, whose components are balanced with respect to the perturbation parameter. With different boundary conditions, the simply supported plate model and the clamped plate model are considered. In particular, a balanced energy norm has been defined. Based on the new norm, residual-based a posteriori estimators are developed for both problems, which are uniform with respect to both the perturbation parameter and the mesh function. A novel analysis approach is introduced for the clamped plate model to address certain difficulty of the problem. Numerical examples are provided to confirm theoretical findings. (c) 2022 Elsevier B.V. All rights reserved.

Key words

Fourth order elliptic problem/Singular perturbation/Mixed finite element method/Residual-based a posteriori error estimator/PENALTY METHOD/CONVERGENCE/APPROXIMATION/EQUATION

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量1
参考文献量40
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