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On the verification of model reduction methods based on the proper generalized decomposition
Authors:Pierre Ladevèze  Ludovic Chamoin
Affiliation:1. LMT-Cachan (ENS Cachan/CNRS/Paris 6 Univ./PRES UniverSud Paris) 61 Avenue du Président Wilson, 94235 CACHAN Cedex, France;2. EADS Foundation Chair “Advanced Computational Structural Mechanics”, France;1. ESI GROUP Chair & High Performance Computing Institute, Ecole Centrale Nantes, 1 rue de la Noe, BP 92101, F-44321 Nantes cedex 3, France;2. ESI GROUP, 99 rue des Solets, 94513 Rungis, France;3. ESI GROUP Chair & PIMM Laboratory, ENSAM ParisTech, 151 Boulevard de l’Hôpital, F-75013 Paris, France;1. Department of Structural Engineering (Politecnico di Milano), Piazza Leonardo da Vinci, 32, I-20133 Milano, Italy;2. LMT-Cachan (ENS Cachan/CNRS/UPMC/PRES UniverSud Paris), 61 Avenue du Président Wilson, F-94235 Cachan CEDEX, France;1. LMT-Cachan (ENS Cachan/CNRS/Paris 6 University, PRES UniverSud Paris), 61 avenue du Président Wilson, F-94230 Cachan, France;2. University of Cambridge, Engineering Department, Trumpington Street, CB1 1PZ Cambridge, United Kingdom
Abstract:In this work, we introduce a consistent error estimator for numerical simulations performed by means of the proper generalized decomposition (PGD) approximation. This estimator, which is based on the constitutive relation error, enables to capture all error sources (i.e. those coming from space and time numerical discretizations, from the truncation of the PGD decomposition, etc.) and leads to guaranteed bounds on the exact error. The specificity of the associated method is a double approach, i.e. a kinematic approach and a unusual static approach, for solving the parameterized problem by means of PGD. This last approach makes straightforward the computation of a statically admissible solution, which is necessary for robust error estimation. An attractive feature of the error estimator we set up is that it is obtained by means of classical procedures available in finite element codes; it thus represents a practical and relevant tool for driving algorithms carried out in PGD, being possibly used as a stopping criterion or as an adaptation indicator. Numerical experiments on transient thermal problems illustrate the performances of the proposed method for global error estimation.
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