Reconstruction of Multiple Cavity Defects in Metallic Foam from DC Potential Drop Signals

  • Yali Du
  • , Shejuan Xie
  • , Xiaojuan Wang
  • , Zhenmao Chen
  • , Junming Lin

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationElectromagnetic Nondestructive Evaluation (XIX)
EditorsTetsuya Uchimoto, Hiroaki Kikuchi, Noritaka Yusa
PublisherIOS Press
Pages179-186
Number of pages8
ISBN (Electronic)9781614996385
DOIs
StatePublished - 2016

Publication series

NameStudies in Applied Electromagnetics and Mechanics
Volume41
ISSN (Print)1383-7281
ISSN (Electronic)1879-8322

Keywords

  • DCPD
  • Metallic foam
  • Multiple defects
  • Reconstruction

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