Diagnostic imaging for structural damage

Zhongqing Su, Li Cheng, Xiaoming Wang, Long Yu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

There has been increasing awareness of the use of intuitional imaging techniques to describe a damage event in the engineered structures. A Lamb wave-based diagnostic imaging approach was developed in this study, by fusing the prior probabilities established by the sensors of an active sensor network at different spatial positions of the structure under inspection. Rather than pinpointing the damage location and shape with definitive parameters, such an approach was intended to probabilistically predict the occurrence of a damage event, which is in nature more consistent with the implication of 'estimating' damage in SHM than traditional approaches. As validation, the approach was employed to detect mono- and dual-delamination in CF/EP laminates, and the results were represented in probability contour diagrams, where the structural damage became intuitional. Other major benefits of the approach include the independence of its effectiveness on the number of damage and enhanced tolerance to noise/uncertainties.
Original languageEnglish
Title of host publicationMulti-functional Materials and Structures - International Conference on Multifunctional Materials and Structures
PublisherTrans Tech Publications
Pages1157-1160
Number of pages4
ISBN (Print)0878493786, 9780878493784
Publication statusPublished - 1 Jan 2008
EventMulti-functional Materials and Structures - International Conference on Multifunctional Materials and Structures - Hong Kong, P.R., Hong Kong
Duration: 28 Jul 200831 Jul 2008

Publication series

NameAdvanced Materials Research
Volume47-50 PART 2
ISSN (Print)1022-6680

Conference

ConferenceMulti-functional Materials and Structures - International Conference on Multifunctional Materials and Structures
Country/TerritoryHong Kong
CityHong Kong, P.R.
Period28/07/0831/07/08

Keywords

  • Composite structures
  • Damage identification
  • Diagnostic imaging
  • Probability theory
  • Sensor network
  • Structural health monitoring (SHM)

ASJC Scopus subject areas

  • Engineering(all)

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