Emulation of an Expensive FDTD Code With Mixed Quantitative and Qualitative Factors for Analysis of Lightning-Induced Transient Responses

Abstract

In this paper, we discuss how to replace a timedemanding computer code having both quantitative and qualitative variables with a surrogate model based on Kriging technique. The recourse to a predictive model is motivated by a challenging electromagnetic compatibility problem of maximum lightning-induced current in electronic equipment connected to a large industrial site. The technical aspects of the incorporation of qualitative variables via specific correlation functions are detailed. The accuracy of the built surrogate model is statistically validated. The application of the resulting metamodel to the uncertainty analysis of induced currents will be also investigated.

Efficient EMC Risk Analysis of PCB Using Iterative Surrogate-Model Enrichment and Morris Sensitivity Analysis

“…One of its main advantages is its ability to determine a prediction error. Furthermore, kriging has already shown promising performances for EMC problems [5] [6] [7] [8].…”