Impedance-based damage detection for civil infrastructures

S. H. Park, Y. Roh, J. H. Yi, C. B. Yun, H. K. Kwak, S. H. Lee

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

The objective of this study is to investigate the feasibility of an impedance-based damage detection technique using piezoelectric (PZT) transducers for civil infrastructures such as steel bridges. The basic concept of the technique is to monitor the changes in the electrical impedance to detect structural damages. Those changes in the electrical impedance are due to the electro-mechanical coupling property of piezoelectric materials. The smart PZT transducers which act as both actuators and sensors in a self-analyzing manner are emerging to be effective in non-parametric health monitoring of structural systems. This health monitoring technique can be easily adapted to existing structures, since only a small number of PZT patches are needed for continuous monitoring of their structural integrity. This impedance-based method operates at high frequencies (above 100 kHz), which enables it to detect incipient-type damage. It is not interfered by normal operating conditions, vibrations of the host structure, and changes in the host external body. The results of the experimental study on three kinds of structural members indicate that cracks or loosened bolts/nuts near the PZT sensors may be effectively detected by monitoring the shifts of the resonant frequencies of the impedance functions.

Original languageEnglish
Pages (from-to)705-716
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5391
DOIs
StatePublished - 2004
EventSmart Structures and Materials 2004 - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems - San Diego, CA, United States
Duration: 15 Mar 200418 Mar 2004

Keywords

  • Civil infrastructures
  • Damage detection
  • Electro-mechanical impedance
  • PZT transducer
  • Shifts of resonant frequencies
  • Structural health monitoring

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