Probabilistic methods applied to 2D electromagnetic numerical dosimetry

Abstract : Probabilistic approaches are performed on electromagnetic numerical dosimetry problems in order to take into account the variability of the input parameters. These approaches are based on an expansion of the random parameters in two different ways: a spectral description and a nodal description. Compared to the Monte Carlo method, these methods are attractive since they exploit determinist codes in a more efficient way. The number of calculations can be further reduced using a regression technique, sparse grids computed from Smolyak's algorithm or a suited coordinate system. It is shown in a simple scattering problem that only 100 calculations are required applying these methods while the Monte Carlo method uses 10,000 samples.
Type de document :
Article dans une revue
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Emerald, 2008, 27 (3), pp.651--667. 〈10.1108/03321640810861098〉
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00164652
Contributeur : Ronan Perrussel <>
Soumis le : lundi 23 juillet 2007 - 10:32:30
Dernière modification le : mercredi 12 décembre 2018 - 15:26:12
Document(s) archivé(s) le : lundi 24 septembre 2012 - 11:20:53

Fichier

EFS_2D_compel.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Damien Voyer, François Musy, Laurent Nicolas, Ronan Perrussel. Probabilistic methods applied to 2D electromagnetic numerical dosimetry. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Emerald, 2008, 27 (3), pp.651--667. 〈10.1108/03321640810861098〉. 〈hal-00164652〉

Partager

Métriques

Consultations de la notice

367

Téléchargements de fichiers

185