4.6 Article

Dispersion analysis of displacement-based and TDNNS mixed finite elements for thin-walled elastodynamics

Journal

MATHEMATICS AND COMPUTERS IN SIMULATION
Volume 189, Issue -, Pages 325-338

Publisher

ELSEVIER
DOI: 10.1016/j.matcom.2021.04.003

Keywords

TDNNS mixed finite elements; Elastodynamics; Shear locking; Dispersion analysis

Funding

  1. Czech Science Foundation, Czech Republic [1722615S]

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In this study, several lowest-order finite element approximations to the problem of elastodynamics of thin-walled structures were compared using dispersion analysis, showing alignment with theory with a sufficient number of layers. Additionally, novel anisotropic hexahedral tangential-displacement and normal-normal-stress continuous (TDNNS) mixed finite elements were presented for Hellinger-Reissner formulation of elastodynamics, demonstrating efficiency up to a certain frequency parameter despite a large amount of degrees of freedom.
We compare several lowest-order finite element approximations to the problem of elastodynamics of thin-walled structures by means of dispersion analysis, which relates the parameter frequency-times-thickness (f d) and the wave speed. We restrict to analytical theory of harmonic front-crested waves that freely propagate in an infinite plate. Our study is formulated as a quasi-periodic eigenvalue problem on a single tensor-product element, which is eventually layered in the thickness direction. In the first part of the paper it is observed that the displacement-based finite elements align with the theory provided there are sufficiently many layers. In the second part we present novel anisotropic hexahedral tangential-displacement and normal- normal-stress continuous (TDNNS) mixed finite elements for Hellinger-Reissner formulation of elastodynamics. It turns out that one layer of such elements is sufficient for f d up to 2000 [kHz mm]. Nevertheless, due to a large amount of TDNNS degrees of freedom the computational complexity is only comparable to the multi-layer displacement-based element. This is not the case at low frequencies, where TDNNS is by far more efficient since it allows for rough anisotropic discretizations, contrary to the displacement-based elements that suffer from the shear locking effect. (C) 2021 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.

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