In this paper, we adopt the so-called sparse polynomial chaos metamodel for the uncertainty quantification in the framework of high-dimensional problems. This metamodel is used to model a realistic electronic bus structure with a large number of uncertain input parameters such as those related to microstrip line geometries. It aims at estimating quantities of interest, such as statistical moments, probability density functions, and provides sensitivity analysis of a response. It drastically reduces the model computational cost with regard to brute force Monte Carlo (MC) simulation. The method presents a good performance and is validated in comparison with MC simulation.

Variability Impact of Many Design Parameters: The Case of a Realistic Electronic Link / Larbi, Mourad; Stievano, IGOR SIMONE; Canavero, Flavio; Besnier, Philippe. - In: IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. - ISSN 0018-9375. - STAMPA. - 60:1(2018), pp. 34-41. [10.1109/TEMC.2017.2727961]

Variability Impact of Many Design Parameters: The Case of a Realistic Electronic Link

LARBI, MOURAD;STIEVANO, IGOR SIMONE;CANAVERO, Flavio;
2018

Abstract

In this paper, we adopt the so-called sparse polynomial chaos metamodel for the uncertainty quantification in the framework of high-dimensional problems. This metamodel is used to model a realistic electronic bus structure with a large number of uncertain input parameters such as those related to microstrip line geometries. It aims at estimating quantities of interest, such as statistical moments, probability density functions, and provides sensitivity analysis of a response. It drastically reduces the model computational cost with regard to brute force Monte Carlo (MC) simulation. The method presents a good performance and is validated in comparison with MC simulation.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2677582