Experimental investigation on statistical moment-based structural damage detection method

You Lin Xu, J. Zhang, J. C. Li, Yong Xia

Research output: Journal article publicationJournal articleAcademic researchpeer-review

44 Citations (Scopus)

Abstract

Although vibration-based structural damage detection methods have demonstrated various degrees of success, the damage detection of civil structures still remains as a challenging task. The main obstacles include the insensitivity to local damage and the high sensitivity to measurement noise. A new structural damage detection method based on the statistical moments of dynamic responses of a structure has been recently proposed by the authors, and the numerical study manifested that the proposed method is sensitive to local structural damage but insensitive to measurement noise. The experimental investigation on this method is presented in this article. Three shear building models with and without damage were built and subjected to ground motions generated by a shaking table. The displacement and acceleration responses of each building model at each floor were recorded. The recorded ground motion and building responses as well as identified structural damping ratios were then used to identify damage locations and severities using the statistical moment-based damage detection method. The identified damage locations and severities were compared with the theoretical values. The comparison is found satisfactory, and the method proposed is effective and feasible.
Original languageEnglish
Pages (from-to)555-571
Number of pages17
JournalStructural Health Monitoring
Volume8
Issue number6
DOIs
Publication statusPublished - 1 Nov 2009

Keywords

  • Damage detection
  • Experimental investigation
  • Noise
  • Sensitivity
  • Statistical moment

ASJC Scopus subject areas

  • Biophysics
  • Mechanical Engineering

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