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Locking-free adaptive mixed finite element methods in linear elasticity

机译:线性弹性中的无锁自适应混合有限元方法

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摘要

Mixed finite element methods such as PEERS or the BDMS methods are designed to avoid locking for nearly incompressible materials in plane elasticity. In this paper, we establish a robust adaptive mesh-refining algorithm that is rigorously based on a reliable and efficient a posteriori error estimate. Numerical evidence is provided for the λ-independence of the constants in the a posteriori error bounds and for the efficiency of the adaptive mesh-refining algorithm proposed.
机译:PEERS或BDMS等混合有限元方法旨在避免将几乎不可压缩的材料锁定在平面弹性中。在本文中,我们建立了一个鲁棒的自适应网格细化算法,该算法严格基于可靠和高效的后验误差估计。为后验误差范围内常数的λ独立性以及所提出的自适应网格细化算法的效率提供了数值证据。

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