Model Order Reduction of Magnetoquasistatic Problems Based on POD and Arnoldi-based Krylov Methods

Archive ouverte : Article de revue

Pierquin, Antoine | Henneron, Thomas | Clenet, Stéphane | Brisset, Stephane

Edité par HAL CCSD ; Institute of Electrical and Electronics Engineers

International audience. The Proper Orthogonal Decomposition method and the Arnoldi-based Krylov projection method are investigated in order to reduce a finite element model of a quasistatic problem. Both methods are compared on an academic example in terms of computation time and precision.

Consulter en ligne

Suggestions

Du même auteur

Multirate coupling of controlled rectifier and non-linear finite element mo...

Archive ouverte: Article de revue

Pierquin, Antoine | 2016-01-01

International audience. To study a multirate system, each subsystem can be solved by a dedicated sofware with respect to the physical problem and the time constant. Then, the problem is the coupling of the solutions...

Model-Order Reduction of Magnetoquasi-Static Problems Based on POD and Arno...

Archive ouverte: Communication dans un congrès

Pierquin, Antoine | 2014-05

The proper orthogonal decomposition method and Arnoldi-based Krylov projection method are investigated in order to reduce a finite-element model of a quasi-static problem. Both methods are compared on an academic example in terms ...

Multidisciplinary optimization formulation for the optimization of multirat...

Archive ouverte: Article de revue

Pierquin, Antoine | 2016-03

International audience. Multidisciplinary optimization strategies are widely used in static case and can be extended to a problem with a time-domain model in order to reduce optimization time. The waveform relaxatio...

Du même sujet

Model-Order Reduction of Magnetoquasi-Static Problems Based on POD and Arno...

Archive ouverte: Communication dans un congrès

Pierquin, Antoine | 2014-05

The proper orthogonal decomposition method and Arnoldi-based Krylov projection method are investigated in order to reduce a finite-element model of a quasi-static problem. Both methods are compared on an academic example in terms ...

Parametric Geometric Metamodel of Nonlinear Magnetostatic Problem Based on ...

Archive ouverte: Article de revue

Boumesbah, Allaa Eddine | 2022

International audience. A parametric geometric metamodel is built for a nonlinear magnetostatic problem, using proper orthogonal decomposition approach combined with radial basis functions interpolation. Furthermore...

Balanced Proper Orthogonal Decomposition Applied to Magnetoquasistatic Prob...

Archive ouverte: Article de revue

Montier, Laurent | 2017-03-16

International audience. Model Order Reduction (MOR) methods are applied in different areas of physics in order to reduce the computational time of large scale systems. It has been an active field of research for man...

Reduction of a Finite Element Parametric Model using Adaptive POD Methods –...

Archive ouverte: Article de revue

Clenet, Stéphane | 2015-12-01

International audience. Model Order Reduction (MOR) methods enable reduction of the computation time when dealing with parametrized numerical models. Among these methods, the Proper Orthogonal Decomposition (POD) me...

Surrogate Model Based on the POD Combined With the RBF Interpolation of Non...

Archive ouverte: Article de revue

Henneron, T. | 2020-01

International audience. The Proper Orthogonal Decomposition (POD) is an interesting approach to compress into a reduced basis numerous solutions obtained from a parametrized Finite Element (FE) model. In order to ob...

Proper Generalized Decomposition method applied to solve 3D Magneto Quasist...

Archive ouverte: Article de revue

Henneron, Thomas | 2014-12-18

In the domain of numerical computation, Proper Generalized Decomposition (PGD), which consists of approximating the solution by a truncated sum of separable functions, is more and more applied in mechanics and has shown its effici...

Chargement des enrichissements...