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

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.

Mots clés

Krylov subspace Model Order Reduction Proper Orthogonal Decomposition Quasi-static problem.

Domaines

Electromagnétisme

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Pierquin-L2EP-IEEETMAG-march2015.pdf (2.36 Mo)

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https://hal.science/hal-01430569

Soumis le : mardi 10 janvier 2017-09:40:14

Dernière modification le : lundi 3 juin 2024-12:16:26

Archivage à long terme le : mardi 11 avril 2017-13:36:01

Dates et versions

hal-01430569 , version 1 (10-01-2017)

Identifiants

HAL Id : hal-01430569 , version 1
DOI : 10.1109/TMAG.2014.2358374

Citer

Antoine Pierquin, Thomas Henneron, Stéphane Clenet, Stephane Brisset. Model Order Reduction of Magnetoquasistatic Problems Based on POD and Arnoldi-based Krylov Methods. IEEE Transactions on Magnetics, 2015, 51 (3), ⟨10.1109/TMAG.2014.2358374⟩. ⟨hal-01430569⟩

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