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Conference Papers Year : 2017

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

M. Larbi
  • Function : Author
I.S. Stievano
  • Function : Author
F.G. Canavero
  • Function : Author

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.
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Dates and versions

hal-01622684 , version 1 (24-10-2017)

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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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