Reference : An efficient goal-oriented sampling strategy using reduced basis method for parametri...
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An efficient goal-oriented sampling strategy using reduced basis method for parametrized elastodynamic problems
Hoang, Khac Chi [> >]
Kerfriden, Pierre [> >]
Bordas, Stéphane mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Khoo, Boo Cheong mailto []
Numerical Methods for Partial Differential Equations
MAFELAP 2013 Special Issue of Numerical Methods for Partial Differential Equations
Yes (verified by ORBilu)
[en] reduced basis method ; goal-oriented POD–Greedy algorithm ; wave equation ; goal-oriented asymptotic error ; space-time domain
[en] In this paper, we study the class of linear elastodynamic problems with a ne parameter dependence using a goal-oriented approach by finite element (FE) and reduced basis (RB) methods. The main contribution of this paper is the "goal-oriented" proper orthogonal decomposition (POD)-Greedy sampling strategy within the RB approximation context. The proposed sampling strategy looks for the parameter points such that the output error approximation will be minimized by Greedy iterations. In estimating such output error approximation, the standard POD-Greedy algorithm is invoked to provide enriched RB approximations for the FE outputs. We propose a so-called "cross-validation" process to choose adaptively the dimension of the enriched RB space corresponding with the dimension of the RB space under consideration. Numerical results show that the new goal-oriented POD-Greedy sampling procedure with the cross-validation process improves signi ficantly the space-time output computations in comparison with the ones computed by the standard POD-Greedy algorithm. The method is thus ideally suited for repeated, rapid and reliable evaluations of input-output relationships in the space-time setting.
Institute of Mechanics and Advanced Materials
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