Neutral-axis position based damage detection of bridge deck using strain measurement: Numerical and experimental verifications

Yiqing Ni, H. W. Xia, X. W. Ye

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

3 Citations (Scopus)

Abstract

This paper provides numerical and experimental studies on using the neutral-axis position as a damage index for bridge deck condition assessment. A beam-like deck model subjected to moving bogies is fabricated with crack damage of different extents incurred on a designated cross-section. Making use of a Kaiman filter (KF) estimator which is specifically formulated to estimate the neutral-axis position from traffic-induced strain responses, numerical simulations and experiments of the deck model are conducted to verify the sensitivity of the neutral-axis position based damage detection technique to crack damage and the capability of this technique for locating damage. The robustness of the KF estimator is examined under different boundary conditions and under static and moving loads. Both the numerical and experimental results show that the neutral-axis position is highly sensitive to local damage on deck sections and can as well serve as an indicator of damage location when strain sensors are densely instrumented.
Original languageEnglish
Title of host publicationProceedings of the 6th European Workshop - Structural Health Monitoring 2012, EWSHM 2012
Pages1205-1211
Number of pages7
Volume2
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

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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