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arXiv 1710.03328math.NAcs.NA
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针对近不可压缩弹性混合近似的鲁棒后验误差估计器

Robust a posteriori error estimators for mixed approximation of nearly incompressible elasticity

University of Manchester(曼彻斯特大学)

Arbaz Khan, Catherine E. Powell, David J. Silvester

AI总结:

本文研究了线弹性问题混合格式的鲁棒有限元近似方法,提出并分析了新的后验误差估计器,证明其在不可压缩极限下具有鲁棒性,并通过数值实验验证理论结果。

摘要:

本文关注线弹性问题混合格式的鲁棒有限元近似方法分析与实现,其中弹性固体近不可压缩。提出了几种新的后验误差估计器,用于能量范数的有限元误差。建立了误差估计器与能量误差的上界和下界,并证明了界中的常数与Lamé系数无关,因此所提估计器在不可压缩极限下具有鲁棒性。给出了验证理论估计的数值结果。用于生成这些结果的软件可在网络上获取。

英文摘要:

This paper is concerned with the analysis and implementation of robust finite element approximation methods for mixed formulations of linear elasticity problems where the elastic solid is almost incompressible. Several novel a posteriori error estimators for the energy norm of the finite element error are proposed and analysed. We establish upper and lower bounds for the energy error in terms of the proposed error estimators and prove that the constants in the bounds are independent of the Lamé coefficients: thus the proposed estimators are robust in the incompressible limit. Numerical results are presented that validate the theoretical estimates. The software used to generate these results is available online.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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