Development, validation and application of a structural health diagnosis technique using an active sensing network

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

An online health diagnosis technique was established for in-service engineering structures. Locally canvassing the modulation on acoustic-ultrasonic (AU) waves by structural damage (e.g., wave scattering, mode conversion and energy dissipation), this technique enables real-time quantitative evaluation of structural damage or multi-damage. It comprehensively integrates AU wave generation, signal acquisition, central controlling, signal processing, data fusion and results presentation. Identification results are presented in pixelated images with the assistance of an imaging algorithm, facilitating visualization of damage and depiction of overall structural health status in a quantitative, rapid and automatic manner. An active sensor network, comprising a number of standardized piezoelectric sensing units, was developed to supplement this technique, offering improved flexibility to accommodate structures of different geometries, desirable redundancy and enhanced reliability when operated in noisy environment. The effectiveness of the technique was validated experimentally using different damage scenarios.
Original languageEnglish
Title of host publicationProceedings of the 6th European Workshop - Structural Health Monitoring 2012, EWSHM 2012
Pages359-366
Number of pages8
Volume1
Publication statusPublished - 1 Dec 2012
Event6th European Workshop on Structural Health Monitoring 2012, EWSHM 2012 - Dresden, Germany
Duration: 3 Jul 20126 Jul 2012

Conference

Conference6th European Workshop on Structural Health Monitoring 2012, EWSHM 2012
Country/TerritoryGermany
CityDresden
Period3/07/126/07/12

Keywords

  • Active sensor network
  • Engineering structures
  • Structural health monitoring

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Signal Processing
  • Civil and Structural Engineering
  • Building and Construction
  • Safety, Risk, Reliability and Quality

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