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A Reduced Basis Approach for Some Weakly Stochastic Multiscale Problems
Authors:Claude LE BRIS and Florian THOMINES
Institution:Claude LE BRIS 1 Florian THOMINES 2 1 CERMICS,Ecole Nationale des Ponts et Chaussees,6 et 8 Avenue Blaise Pascal,Cite Descartes,Champs-sur-Marne,77455 Marne-La-Vallée Cedex 2,France;INRIA Rocquencourt,MICMAC teamproject,Domaine de Voluceau,BP105,78153 Le Chesnay Cedex,France.2 INRIA Rocquencourt,MICMAC team-project,Domaine de Voluceau,BP105,78153 Le Chesnay Cedex,France;Laboratoire Navier,Ecole Nationale des Ponts et Chaussees,6 et 8 Avenue Blaise Pascal,Cite Descartes,Champs-Sur-Marne,77455 Marne-La-Vallée Cedex 2,France.
Abstract:In this paper, a multiscale problem arising in material science is considered. The problem involves a random coefficient which is assumed to be a perturbation of a deterministic coefficient, in a sense made precisely in the body of the text. The homogenized limit is then computed by using a perturbation approach. This computation requires repeatedly solving a corrector-like equation for various configurations of the material. For this purpose, the reduced basis approach is employed and adapted to the specific context. The authors perform numerical tests that demonstrate the efficiency of the approach.
Keywords:Reduced basis  Stochastic homogenization  Perturbation approach
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