Among the model order reduction techniques, the Proper Generalized Decomposition (PGD) has shown its efficiency to solve a large number of engineering problems. In this article, the PGD approach is applied to solve a multi-physics problem based on a magnetoelectric device. A reduced model is developed to study the device in its environment based on an Offline/Online approach. In the Offline step, two specific simulations are performed in order to build a PGD reduced model. Then, we obtain a model very well fitted to study in the Online stage the influence of parameters like the frequency or the load. The reduced model of the device is coupled with an electric load (R-L) to illustrate the possibility offered by the PGD
International audienceThis work investigates solving coupled magneto-thermal problems through a prop...
International audienceAs in most of the domains in physics, finite element formulation is a very com...
In this paper, the proper orthogonal decomposition and the Arnoldi-based Krylov subspace methods are...
Among the model order reduction techniques, the Proper Generalized Decomposition (PGD) has shown its...
International audienceThis paper describes the main stages of development of a numerical tool dedica...
The Proper Generalized Decomposition (PGD) is a model order reduction method which allows to reduce ...
International audienceAmong the model order reduction techniques, the Proper Generalized Decompositi...
International audienceA novel Model Order Reduction (MOR) technique is developed to compute high-dim...
In the domain of numerical computation, Proper Generalized Decomposition (PGD), which consists of ap...
Among the model order reduction techniques, the Proper Orthogonal Decomposition (POD) has shown its ...
International audienceA novel model order reduction (MOR) technique is presented to achieve fast and...
A novel Model Order Reduction (MOR) technique is developed to compute high-dimensional parametric so...
This paper proposes a reduced-order model of power electronic components based on the proper orthogo...
The aim of this paper is to investigate on various methods of reducing the computational complexity,...
This PhD thesis aim at developing original, fast and accurate models well adapted to the growing com...
International audienceThis work investigates solving coupled magneto-thermal problems through a prop...
International audienceAs in most of the domains in physics, finite element formulation is a very com...
In this paper, the proper orthogonal decomposition and the Arnoldi-based Krylov subspace methods are...
Among the model order reduction techniques, the Proper Generalized Decomposition (PGD) has shown its...
International audienceThis paper describes the main stages of development of a numerical tool dedica...
The Proper Generalized Decomposition (PGD) is a model order reduction method which allows to reduce ...
International audienceAmong the model order reduction techniques, the Proper Generalized Decompositi...
International audienceA novel Model Order Reduction (MOR) technique is developed to compute high-dim...
In the domain of numerical computation, Proper Generalized Decomposition (PGD), which consists of ap...
Among the model order reduction techniques, the Proper Orthogonal Decomposition (POD) has shown its ...
International audienceA novel model order reduction (MOR) technique is presented to achieve fast and...
A novel Model Order Reduction (MOR) technique is developed to compute high-dimensional parametric so...
This paper proposes a reduced-order model of power electronic components based on the proper orthogo...
The aim of this paper is to investigate on various methods of reducing the computational complexity,...
This PhD thesis aim at developing original, fast and accurate models well adapted to the growing com...
International audienceThis work investigates solving coupled magneto-thermal problems through a prop...
International audienceAs in most of the domains in physics, finite element formulation is a very com...
In this paper, the proper orthogonal decomposition and the Arnoldi-based Krylov subspace methods are...