Adaptive Isogeometric analysis for plate vibrations: An efficient approach of local refinement based on hierarchical a posteriori error estimation

Yu, Peng, Anitescu, Cosmin, Tomar, Satyendra ORCID: https://orcid.org/0000-0002-5706-5556, Bordas, Stéphane Pierre Alain ORCID: https://orcid.org/0000-0001-8634-7002 and Kerfriden, Pierre ORCID: https://orcid.org/0000-0002-7749-3996 2018. Adaptive Isogeometric analysis for plate vibrations: An efficient approach of local refinement based on hierarchical a posteriori error estimation. Computer Methods in Applied Mechanics and Engineering 342 , pp. 251-286. 10.1016/j.cma.2018.08.010

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Abstract

This paper presents a novel methodology of local adaptivity for the frequency-domain analysis of the vibrations of Reissner–Mindlin plates. The adaptive discretization is based on the recently developed Geometry Independent Field approximaTion (GIFT) framework, which may be seen as a generalization of the Iso-Geometric Analysis (IGA). Within the GIFT framework, we describe the geometry of the structure exactly with NURBS (Non-Uniform Rational B-Splines), whilst independently employing Polynomial splines over Hierarchical T-meshes (PHT)-splines to represent the solution field. The proposed strategy of local adaptivity, wherein a posteriori error estimators are computed based on inexpensive hierarchical h - refinement, aims to control the discretization error within a frequency band. The approach sweeps from lower to higher frequencies, refining the mesh appropriately so that each of the free vibration mode within the targeted frequency band is sufficiently resolved. Through several numerical examples, we show that the GIFT framework is a powerful and versatile tool to perform local adaptivity in structural dynamics. We also show that the proposed adaptive local h -refinement scheme allows us to achieve significantly faster convergence rates than a uniform h-refinement.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering Advanced Research Computing @ Cardiff (ARCCA)
Publisher:	Elsevier
ISSN:	0045-7825
Date of Acceptance:	6 August 2018
Last Modified:	11 Mar 2023 02:09
URI:	https://orca.cardiff.ac.uk/id/eprint/120446

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