Analysis of a \(\varvec{P}_1\oplus \varvec{RT}_0\) finite element method for linear elasticity with Dirichlet and mixed boundary conditions

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED Advances in Computational Mathematics Pub Date : 2024-02-05 DOI:10.1007/s10444-024-10107-w
Hongpeng Li, Xu Li, Hongxing Rui
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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.

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带 Dirichlet 和混合边界条件的线性弹性的 $$\varvec{P}_1\oplus \varvec{RT}_0$ 有限元方法分析
本文研究了线性弹性问题的低阶鲁棒数值方法。该方法基于 Bernardi-Raugel-like \(\varvec{H}(\textrm{div})\)-conforming方法,首先在 [Li and Rui, IMA J. Numer. Anal.其中,在经典保角方法(\(\varvec{P}_1\times P_0\)对的基础上增加了最低阶的(\(\varvec{H}(\textrm{div})\)保角拉维亚-托马斯空间(\(\varvec{RT}_0\),以满足 inf-sup 条件,同时保留了发散约束和保角方法的一些重要特征。由于 \(\varvec{P}_1oplus \varvec{RT}_0\times P_0\) 对的 inf-sup 稳定性,可以自然地得到关于拉梅常数 \(\lambda \) 的无锁定弹性离散化。此外,对于纯均质位移边界问题,我们的方案是梯度稳健的,即当外力为梯度场时,位移的离散 \(\varvec{H}^1\)-norm 为 \(\mathcal {O}(\lambda ^{-1})\)。我们还考虑了混合位移和应力边界问题,由于\(\varvec{P}_1\oplus \varvec{RT}_0\)部分产生的一致性误差,其\(\varvec{P}_1\oplus \varvec{RT}_0\)离散化应仔细设计。我们提出了对称和非对称方案来逼近混合边界情况。得出了能量规范和/或 (\varvec{L}^2\)规范的最优误差估计。数值实验证明了我们方案的准确性和鲁棒性。
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来源期刊
CiteScore
3.00
自引率
5.90%
发文量
68
审稿时长
3 months
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.
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