{"title":"Analysis of a \\(\\varvec{P}_1\\oplus \\varvec{RT}_0\\) finite element method for linear elasticity with Dirichlet and mixed boundary conditions","authors":"Hongpeng Li, Xu Li, Hongxing Rui","doi":"10.1007/s10444-024-10107-w","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper, we investigate a low-order robust numerical method for the linear elasticity problem. The method is based on a Bernardi–Raugel-like <span>\\(\\varvec{H}(\\textrm{div})\\)</span>-conforming method proposed first for the Stokes flows in [Li and Rui, IMA J. Numer. Anal. <b>42</b> (2022) 3711–3734]. Therein, the lowest-order <span>\\(\\varvec{H}(\\textrm{div})\\)</span>-conforming Raviart–Thomas space (<span>\\(\\varvec{RT}_0\\)</span>) was added to the classical conforming <span>\\(\\varvec{P}_1\\times P_0\\)</span> pair to meet the inf-sup condition, while preserving the divergence constraint and some important features of conforming methods. Due to the inf-sup stability of the <span>\\(\\varvec{P}_1\\oplus \\varvec{RT}_0\\times P_0\\)</span> pair, a locking-free elasticity discretization with respect to the Lamé constant <span>\\(\\lambda \\)</span> can be naturally obtained. Moreover, our scheme is gradient-robust for the pure and homogeneous displacement boundary problem, that is, the discrete <span>\\(\\varvec{H}^1\\)</span>-norm of the displacement is <span>\\(\\mathcal {O}(\\lambda ^{-1})\\)</span> when the external body force is a gradient field. We also consider the mixed displacement and stress boundary problem, whose <span>\\(\\varvec{P}_1\\oplus \\varvec{RT}_0\\)</span> discretization should be carefully designed due to a consistency error arising from the <span>\\(\\varvec{RT}_0\\)</span> part. We propose both symmetric and nonsymmetric schemes to approximate the mixed boundary case. The optimal error estimates are derived for the energy norm and/or <span>\\(\\varvec{L}^2\\)</span>-norm. Numerical experiments demonstrate the accuracy and robustness of our schemes.</p></div>","PeriodicalId":50869,"journal":{"name":"Advances in Computational Mathematics","volume":"50 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Computational Mathematics","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.1007/s10444-024-10107-w","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we investigate a low-order robust numerical method for the linear elasticity problem. The method is based on a Bernardi–Raugel-like \(\varvec{H}(\textrm{div})\)-conforming method proposed first for the Stokes flows in [Li and Rui, IMA J. Numer. Anal. 42 (2022) 3711–3734]. Therein, the lowest-order \(\varvec{H}(\textrm{div})\)-conforming Raviart–Thomas space (\(\varvec{RT}_0\)) was added to the classical conforming \(\varvec{P}_1\times P_0\) pair to meet the inf-sup condition, while preserving the divergence constraint and some important features of conforming methods. Due to the inf-sup stability of the \(\varvec{P}_1\oplus \varvec{RT}_0\times P_0\) pair, a locking-free elasticity discretization with respect to the Lamé constant \(\lambda \) can be naturally obtained. Moreover, our scheme is gradient-robust for the pure and homogeneous displacement boundary problem, that is, the discrete \(\varvec{H}^1\)-norm of the displacement is \(\mathcal {O}(\lambda ^{-1})\) when the external body force is a gradient field. We also consider the mixed displacement and stress boundary problem, whose \(\varvec{P}_1\oplus \varvec{RT}_0\) discretization should be carefully designed due to a consistency error arising from the \(\varvec{RT}_0\) part. We propose both symmetric and nonsymmetric schemes to approximate the mixed boundary case. The optimal error estimates are derived for the energy norm and/or \(\varvec{L}^2\)-norm. Numerical experiments demonstrate the accuracy and robustness of our schemes.
期刊介绍:
Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis.
This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.