Damage identification for composite structures using a cross-correlation reverse-time migration technique

J. He, F. G. Yuan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents a cross-correlation reverse-time migration (CCRTM) technique to quantify and image damages in composite structures using flexural wave signals. A linear piezoelectric transducer array is surfaced-mounted on a composite plate to image a circular-shaped damage. The suitable frequency range for this method has been discussed prior to the testing. The forward wavefield excited by the actuator is formed by a finite difference (FD) method. The scattered wavefield is reversed in time and back-propagated using the same FD method to perform the migration as the backward wavefield. Cross-correlation values between the forward and backward wavefields are obtained for every grid on the plate to image the damage. It is demonstrated that this CCRTM can accurately locate and image multiple damages with improved resolution and higher efficiency.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2013
Subtitle of host publicationA Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013
EditorsFu-Kuo Chang
PublisherDEStech Publications
Pages2185-2193
Number of pages9
ISBN (Electronic)9781605951157
Publication statusPublished - 2013
Event9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013 - Stanford, United States
Duration: 2013 Sept 102013 Sept 12

Publication series

NameStructural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013
Volume2

Conference

Conference9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013
Country/TerritoryUnited States
CityStanford
Period13-09-1013-09-12

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Health Information Management

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