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

M. Larbi I.S. Stievano F.G. Canavero Philippe Besnier 1
1 IETR - Institut d'Électronique et des Technologies du numéRique
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
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Conference papers
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01622684
Contributor : Laurent Jonchère <>
Submitted on : Tuesday, October 24, 2017 - 3:38:25 PM
Last modification on : Monday, October 5, 2020 - 9:50:26 AM

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UNIV-RENNES1 | IETR | CNRS | UNIV-NANTES | UR1-UFR-ISTIC | IETR-WAVES | UNIV-RENNES | INSA-GROUPE | CENTRALESUPELEC | INSA-RENNES

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M. Larbi, I.S. Stievano, F.G. Canavero, Philippe 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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