It is now well established that separated representations built with the help of proper generalized decomposition (PGD) can drastically reduce computational costs associated with solution of a wide variety of problems. However, it is still an open question to know if separated representations can be efficiently used to approximate solutions of hyperbolic evolution problems in space-time domain. In this paper, we numerically address this issue and concentrate on transient elastodynamic models. For such models, the operator associated with the space-time problem is non-symmetric and low-rank approximations are classically computed by minimizing the space-time residual in a natural L-2 sense, yet leading to non optimal approximations in usual solution norms. Therefore, a new algorithm has been recently introduced by one of the authors and allows to find a quasi-optimal low-rank approximation a priori with respect to a target norm. We presently extend this new algorithm to multi-field models. The proposed algorithm is applied to elastodynamics formulated over space-time domain with the Time Discontinuous Galerkin method in displacement and velocity. Numerical examples demonstrate convergence of the proposed algorithm and comparisons are made with classical a posteriori and a priori approaches. (C) 2014 Elsevier B.V. All rights reserved.
机构:
Univ Paris 06, Univ Paris Sud, ENS Cachan, LMT Cachan,CNRS UMR 8535, F-94235 Cachan, FranceUniv Paris 06, Univ Paris Sud, ENS Cachan, LMT Cachan,CNRS UMR 8535, F-94235 Cachan, France
Neron, D.
Dureisseix, D.
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机构:
Univ Montpellier 2, LMGC, CNRS UMR 5508, F-34095 Montpellier 5, FranceUniv Paris 06, Univ Paris Sud, ENS Cachan, LMT Cachan,CNRS UMR 8535, F-94235 Cachan, France
机构:
Univ Paris 06, Univ Paris Sud, ENS Cachan, LMT Cachan,CNRS UMR 8535, F-94235 Cachan, FranceUniv Paris 06, Univ Paris Sud, ENS Cachan, LMT Cachan,CNRS UMR 8535, F-94235 Cachan, France
Neron, D.
Dureisseix, D.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Montpellier 2, LMGC, CNRS UMR 5508, F-34095 Montpellier 5, FranceUniv Paris 06, Univ Paris Sud, ENS Cachan, LMT Cachan,CNRS UMR 8535, F-94235 Cachan, France