Solutions of partial differential equations could exhibit a multiscale behavior. Standard discretization techniques are constraints to mesh up to the finest scale to predict accurately the response of the system. The proposed methodology is based on the standard proper generalized decomposition rationale; thus, the PDE is transformed into a nonlinear system that iterates between microscale and macroscale states, where the time coordinate could be viewed as a 2D time, representing the microtime and macrotime scales. The macroscale effects are taken into account because of an FEM-based macrodiscretization, whereas the microscale effects are handled with unidimensional parent spaces that are replicated throughout the domain. The proposed metho...
This paper deals with the offline resolution of nonlinear multiscale problems leading to a PGD-reduc...
We propose a multiscale model reduction method for partial differential equations. The mai...
International audienceModel reduction techniques such as Proper Generalized Decomposition (PGD) are ...
Solutions of partial differential equations could exhibit a multiscale behavior. Standard discretiza...
Solutions of partial differential equations can exhibit multiple time scales. Standard discretizatio...
Developments in dynamical systems theory provides new support for the macroscale modelling of pdes a...
Developments in dynamical systems theory provide new support for the macroscale modelling of pdes an...
It is well known that model order reduction techniques that project the solution of the problem at h...
Models encountered in computational mechanics could involve many time scales. When these time scales...
This paper revisits a powerful discretization technique, the Proper Generalized Decomposition—PGD, i...
Abstract. We propose a multiscale model reduction method for partial differential equations. The mai...
We consider adaptive finite element methods for solving a multiscale system consisting of a macrosca...
This paper focuses on the efficient solution of models defined in high dimensional spaces. Those mod...
This paper deals with the offline resolution of nonlinear multiscale problems leading to a PGD-reduc...
We propose a multiscale model reduction method for partial differential equations. The mai...
International audienceModel reduction techniques such as Proper Generalized Decomposition (PGD) are ...
Solutions of partial differential equations could exhibit a multiscale behavior. Standard discretiza...
Solutions of partial differential equations can exhibit multiple time scales. Standard discretizatio...
Developments in dynamical systems theory provides new support for the macroscale modelling of pdes a...
Developments in dynamical systems theory provide new support for the macroscale modelling of pdes an...
It is well known that model order reduction techniques that project the solution of the problem at h...
Models encountered in computational mechanics could involve many time scales. When these time scales...
This paper revisits a powerful discretization technique, the Proper Generalized Decomposition—PGD, i...
Abstract. We propose a multiscale model reduction method for partial differential equations. The mai...
We consider adaptive finite element methods for solving a multiscale system consisting of a macrosca...
This paper focuses on the efficient solution of models defined in high dimensional spaces. Those mod...
This paper deals with the offline resolution of nonlinear multiscale problems leading to a PGD-reduc...
We propose a multiscale model reduction method for partial differential equations. The mai...
International audienceModel reduction techniques such as Proper Generalized Decomposition (PGD) are ...