Minimizing noise effect in curvature-based damage detection

Zhen Sun, Tomonori Nagayama, Yozo Fujino

  • 1 Citations

Abstract

Damage detection is essential for condition assessment of serviceability and safety of bridges. Different methods have been developed for damage detection based on static or dynamic response of bridges, among which curvature-based method attracted more and more attention as it shed light on accurate detection of damage location. Although there are many investigations contributed to this method, few of them considered the effect of measurement noise and approaches to minimize noise effect. In this paper, effect of measurement noise is investigated in the curvature-based damage detection. An approach is proposed to minimize noise effect for practical application on realistic cases. To verify its reliability and efficacy, laboratory experiment is conducted on a beam specimen, and the measured displacement is used to identify damage with the proposed approach. To illustrate the applicability for realistic bridges, this method was applied to a detailed Finite Element bridge model which also considers effects of measurement noise. The results indicate the feasibility of this method in practical application on girder bridges.

Original languageEnglish
Pages (from-to)255-264
Number of pages10
JournalJournal of Civil Structural Health Monitoring
Volume6
Issue number2
DOIs
StatePublished - 2016 Apr 1

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Damage detection
Dynamic response
Experiments

Keywords

  • Condition assessment
  • Damage detection
  • Girder bridge
  • Length of curvature calculation interval
  • Maxwell–Betti reciprocal theorem
  • Measurement noise

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Minimizing noise effect in curvature-based damage detection. / Sun, Zhen; Nagayama, Tomonori; Fujino, Yozo.

In: Journal of Civil Structural Health Monitoring, Vol. 6, No. 2, 01.04.2016, p. 255-264.

Research output: Contribution to journalArticle

Sun, Zhen; Nagayama, Tomonori; Fujino, Yozo / Minimizing noise effect in curvature-based damage detection.

In: Journal of Civil Structural Health Monitoring, Vol. 6, No. 2, 01.04.2016, p. 255-264.

Research output: Contribution to journalArticle

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