Structural damage identification using piezoelectric sensors

Hisao Fukunaga, Ning Hu, Fu Kuo Chang

Research output: Contribution to journalArticlepeer-review

72 Citations (Scopus)

Abstract

In this paper, a two-stage damage identification method has been proposed using the data obtained from piezoelectric sensors. In the first stage, a first-order approximation technique is presented for numerically predicting the transient response of electrical potential change on sensors caused by damages. Both numerical and experimental data in the time domain are transformed into the frequency domain using the FFT technique. The damage locations can then be detected by matching the numerical data and the experimental data in the frequency domain through a proposed detection technique. After identifying the possible damage locations, in the second stage, an iterative estimation scheme for solving nonlinear optimization programming problems, based on the quadratic programming technique, is put forward to predict damage extents. A beam example has been employed to illustrate the effectiveness of the algorithm numerically. Furthermore, various investigations, such as the accuracy of the proposed first-order approximation technique, the influences of the excitation frequency of external force, and modelling errors and measurement noises on the results have been carried out.

Original languageEnglish
Pages (from-to)393-418
Number of pages26
JournalInternational Journal of Solids and Structures
Volume39
Issue number2
DOIs
Publication statusPublished - 2001 Dec 28

Keywords

  • Damage identification
  • FFT
  • First-order approximation
  • Inverse problem
  • Piezoelectric sensor

ASJC Scopus subject areas

  • Modelling and Simulation
  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering
  • Applied Mathematics

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