@inbook{551c3f569f084024b08c170cf8960ce2,
title = "Reconstruction of Multiple Cavity Defects in Metallic Foam from DC Potential Drop Signals",
abstract = "In this paper, a numerical scheme for simulation of DC potential drop (DCPD) signal is updated at first to deal with multiple defects in order to reconstruct multiple cavities in metallic foam (MF) from measured DCPD signals. A hybrid inversion strategy combining the genetic algorithm and the steepest descent optimization method is proposed then to evaluate the size and position parameters of the multiple defects. As example, simulated signals with artificial noise are adopted to reconstruct the profile of double cavity defects. The numerical results validated the hybrid inversion strategy and the updated forward scheme for sizing the multiple defects in metallic foam.",
keywords = "DCPD, Metallic foam, Multiple defects, Reconstruction",
author = "Yali Du and Shejuan Xie and Xiaojuan Wang and Zhenmao Chen and Junming Lin",
note = "Publisher Copyright: {\textcopyright} 2016 The authors and IOS Press. All rights reserved.",
year = "2016",
doi = "10.3233/978-1-61499-639-2-179",
language = "英语",
series = "Studies in Applied Electromagnetics and Mechanics",
publisher = "IOS Press",
pages = "179--186",
editor = "Tetsuya Uchimoto and Hiroaki Kikuchi and Noritaka Yusa",
booktitle = "Electromagnetic Nondestructive Evaluation (XIX)",
}