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

Yali Du; Shejuan Xie; Xiaojuan Wang; Zhenmao Chen; Junming Lin

doi:10.3233/978-1-61499-639-2-179

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

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

航天航空学院

Xi'an Jiaotong University
Xi'an Polytechnic University
Eddysun (Xiamen) Electronic Co. Ltd.

科研成果: 书/报告/会议事项章节 › 章节 › 同行评审

1 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Electromagnetic Nondestructive Evaluation (XIX)
编辑	Tetsuya Uchimoto, Hiroaki Kikuchi, Noritaka Yusa
出版商	IOS Press
页	179-186
页数	8
ISBN（电子版）	9781614996385
DOI	https://doi.org/10.3233/978-1-61499-639-2-179
出版状态	已出版 - 2016

丛书

姓名	Studies in Applied Electromagnetics and Mechanics
卷	41
ISSN（印刷版）	1383-7281
ISSN（电子版）	1879-8322

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10.3233/978-1-61499-639-2-179

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Du, Y., Xie, S., Wang, X., Chen, Z., & Lin, J. (2016). Reconstruction of Multiple Cavity Defects in Metallic Foam from DC Potential Drop Signals. 在 T. Uchimoto, H. Kikuchi, & N. Yusa (版本), Electromagnetic Nondestructive Evaluation (XIX) (页码 179-186). (Studies in Applied Electromagnetics and Mechanics; 卷 41). IOS Press. https://doi.org/10.3233/978-1-61499-639-2-179

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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",

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doi = "10.3233/978-1-61499-639-2-179",

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Reconstruction of Multiple Cavity Defects in Metallic Foam from DC Potential Drop Signals. / Du, Yali; Xie, Shejuan; Wang, Xiaojuan 等.
Electromagnetic Nondestructive Evaluation (XIX). 编辑 / Tetsuya Uchimoto; Hiroaki Kikuchi; Noritaka Yusa. IOS Press, 2016. 页码 179-186 (Studies in Applied Electromagnetics and Mechanics; 卷 41).

科研成果: 书/报告/会议事项章节 › 章节 › 同行评审

TY - CHAP

T1 - Reconstruction of Multiple Cavity Defects in Metallic Foam from DC Potential Drop Signals

AU - Du, Yali

AU - Xie, Shejuan

AU - Wang, Xiaojuan

AU - Chen, Zhenmao

AU - Lin, Junming

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - DCPD

KW - Metallic foam

KW - Multiple defects

KW - Reconstruction

UR - https://www.scopus.com/pages/publications/84975495473

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DO - 10.3233/978-1-61499-639-2-179

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AN - SCOPUS:84975495473

T3 - Studies in Applied Electromagnetics and Mechanics

SP - 179

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BT - Electromagnetic Nondestructive Evaluation (XIX)

A2 - Uchimoto, Tetsuya

A2 - Kikuchi, Hiroaki

A2 - Yusa, Noritaka

PB - IOS Press

ER -

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

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