A fast damage locating approach using digital damage fingerprints extracted from Lamb wave signals

Zhongqing Su, Lin Ye

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)

Abstract

A fast damage locating approach using digital damage fingerprint data, extracted from raw Lamb wave signals and accommodated in a damage parameters database (DPD), was developed in this study. A new multilayer feedforward artificial neural network was designed and trained with the DPD under the supervision of an error-backpropagation algorithm. Assisted by an active system for online structural health monitoring, the proposed method was validated by locating actual delamination and through-thickness holes in quasi-isotropic CF/EP (T650/F584) composite laminates. Compared with a quantitative methodology for evaluating full damage parameters developed in an earlier study (Su and Ye 2003 J. Intell. Mater. Syst. Struct. 16 97-111), the present approach performs damage evaluation much more quickly and cost-effectively by determining damage location only.
Original languageEnglish
Pages (from-to)1047-1054
Number of pages8
JournalSmart Materials and Structures
Volume14
Issue number5
DOIs
Publication statusPublished - 1 Oct 2005
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • Atomic and Molecular Physics, and Optics
  • Civil and Structural Engineering
  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Electrical and Electronic Engineering

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