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Bridging proper orthogonal decomposition methods and augmented Newton-Krylov algorithms: An adaptive model order reduction for highly nonlinear mechanical problems

Kerfriden, Pierre, Gosselet, P., Adhikari, S. and Bordas, Stephane Pierre Alain 2011. Bridging proper orthogonal decomposition methods and augmented Newton-Krylov algorithms: An adaptive model order reduction for highly nonlinear mechanical problems. Computer Methods in Applied Mechanics and Engineering 200 (5-8) , pp. 850-866. 10.1016/j.cma.2010.10.009

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Abstract

This article describes a bridge between POD-based model order reduction techniques and the classical Newton/Krylov solvers. This bridge is used to derive an efficient algorithm to correct, “on-the-fly”, the reduced order modelling of highly nonlinear problems undergoing strong topological changes. Damage initiation problems tackled via a corrected hyperreduction method are used as an example. It is shown that the relevancy of reduced order model can be significantly improved with reasonable additional costs when using this algorithm, even when strong topological changes are involved.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Advanced Research Computing @ Cardiff (ARCCA)
Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords: Model order reduction (MOR); Proper orthogonal decomposition (POD); Newton/Krylov solver; Projected conjugate gradient; Hyperreduction; Damage propagation
Publisher: Elsevier
ISSN: 0045-7825
Last Modified: 04 Jun 2017 02:02
URI: http://orca-mwe.cf.ac.uk/id/eprint/7882

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