Analysis of a printed circuit board with many uncertain variables by sparse polynomial chaos

M. Larbi I.S. Stievano F.G. Canavero P. Besnier 1
1 IETR - Institut d'Electronique et de Télécommunications de Rennes
Abstract : This communication deals with the uncertainty quantification in high dimensional problems. It introduces a metamodel based on the sparse polynomial chaos for the analysis of a printed circuit board, depending on many uncertain variables. This metamodel allows to estimate statistical quantities of an output with a relative low computational cost compared to Monte Carlo (MC) simulation. Results obtained have been validated by comparison with MC simulation. © 2017 IEEE.
Keywords : Circuit design polynomial chaos printed circuit board transmission lines uncertainty quantification
Type de document :
Communication dans un congrès
2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2017, May 2017, Nagoya, Japan. 〈10.1109/NEMO.2017.7964274〉
Liste complète des métadonnées
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01622684
Contributeur : Laurent Jonchère <>
Soumis le : mardi 24 octobre 2017 - 15:38:25
Dernière modification le : mercredi 16 mai 2018 - 11:23:51

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M. Larbi, I.S. Stievano, F.G. Canavero, P. Besnier. Analysis of a printed circuit board with many uncertain variables by sparse polynomial chaos. 2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2017, May 2017, Nagoya, Japan. 〈10.1109/NEMO.2017.7964274〉. 〈hal-01622684〉

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