International audienceIn 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
We address multiscale elliptic problems with random coefficients that are a perturbation o...
35 pagesInternational audienceWe present in this paper an approach for computing the homogenized beh...
A reduced basis formulation is presented for efficient solution of large-scale random eigenvalue pro...
International audienceIn this paper, a multiscale problem arising in material science is considered....
International audienceWe address multiscale elliptic problems with random coefficients that are a pe...
In the framework of stochastic non-intrusive finite element modeling, a common practice is using Mon...
This paper introduces stochastic reduced basis methods for solving largescale linear random algebra...
International audienceIn this paper, we describe a multiscale strategy that allows to couple stochas...
A stochastic-deterministic coupling method for multiscale problems. Application to numerical homogen...
Stochastic reduced basis methods for solving large-scale linear random algebraic systems of equation...
This paper addresses the complexity reduction of stochastic homogenisation of a class of random mate...
The computationally most expensive part of stochastic FEM based homogenization is the inversion of t...
In this paper we develop and analyze a multilevel weighted reduced basis method for solving stochast...
International audienceWe report here on the recent application of a now classical general reduction ...
We consider a class of elasticity equations in Rd whose elastic moduli depend on n separated microsc...
We address multiscale elliptic problems with random coefficients that are a perturbation o...
35 pagesInternational audienceWe present in this paper an approach for computing the homogenized beh...
A reduced basis formulation is presented for efficient solution of large-scale random eigenvalue pro...
International audienceIn this paper, a multiscale problem arising in material science is considered....
International audienceWe address multiscale elliptic problems with random coefficients that are a pe...
In the framework of stochastic non-intrusive finite element modeling, a common practice is using Mon...
This paper introduces stochastic reduced basis methods for solving largescale linear random algebra...
International audienceIn this paper, we describe a multiscale strategy that allows to couple stochas...
A stochastic-deterministic coupling method for multiscale problems. Application to numerical homogen...
Stochastic reduced basis methods for solving large-scale linear random algebraic systems of equation...
This paper addresses the complexity reduction of stochastic homogenisation of a class of random mate...
The computationally most expensive part of stochastic FEM based homogenization is the inversion of t...
In this paper we develop and analyze a multilevel weighted reduced basis method for solving stochast...
International audienceWe report here on the recent application of a now classical general reduction ...
We consider a class of elasticity equations in Rd whose elastic moduli depend on n separated microsc...
We address multiscale elliptic problems with random coefficients that are a perturbation o...
35 pagesInternational audienceWe present in this paper an approach for computing the homogenized beh...
A reduced basis formulation is presented for efficient solution of large-scale random eigenvalue pro...