2016IEEE Transactions on Electromagnetic CompatibilityRequires access

Global Sensitivity Analysis and Uncertainty Quantification of Radiated Susceptibility in PCB Using Nonintrusive Polynomial Chaos Expansions

Tarek Bdour, Alain Reineix

Open publisher page 23 citations

Abstract

In this paper, we introduce a workflow that uses uncertainty quantification (UQ) and sensitivity analysis (SA) in conjunction with a metamodeling technique called polynomial chaos expansion (PCE) to investigate the stochastic terminal response of a printed circuit board (PCB) due to an external plane wave excitation. The objective of PCE use is to reduce the computational burden of commonly used Monte Carlo (MC) approach for calculating statistical moments and Sobol' sensitivity indices in the presence of uncertain geometrical and electrical parameters of the investigated PCB. The statistical results computed by PCE has been shown to be very accurate compared to MC simulation results.

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What this paper is about

In this paper, we introduce a workflow that uses uncertainty quantification (UQ) and sensitivity analysis (SA) in conjunction with a metamodeling technique called polynomial chaos expansion (PCE) to investigate the stochastic terminal response of a printed circuit board (PCB) due to an external plane wave excitation. The objective of PCE use is to reduce the computational burden of commonly used Monte Carlo (MC) approach for calculating statistical moments and Sobol' sensitivity indices in the presence of uncertain geometrical and electrical parameters of the investigated PCB. The statistical results computed by PCE has been shown to be very accurate compared to MC simulation results.

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OpenAlex reports 23 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, we introduce a workflow that uses uncertainty quantification (UQ) and sensitivity analysis (SA) in conjunction with a metamodeling technique called polynomial chaos expansion (PCE) to investigate the stochastic terminal response of a printed circuit board (PCB) due to an external plane wave excitation. The objective of PCE use is to reduce the computational burden of commonly used Monte Carlo (MC) approach for calculating statistical moments and Sobol' sensitivity indices in the presence of uncertain geometrical and electrical parameters of the investigated PCB. The statistical results computed by PCE has been shown to be very accurate compared to MC simulation results.

Key concepts: Sobol sequence, Polynomial chaos, Uncertainty quantification, Sensitivity (control systems), Monte Carlo method, Printed circuit board, Polynomial, Metamodeling

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