Simulation studies of damage location in Tsing Ma Bridge deck

Yiqing Ni, B. S. Wang, J. M. Ko

Research output: Journal article publicationConference articleAcademic researchpeer-review

15 Citations (Scopus)

Abstract

This paper addresses the identification of damage region and location in the Tsing Ma Suspension Bridge deck using modal data. A two-stage identification method is proposed and implemented through numerical simulation for damage detection of the bridge deck. In the first stage, the main span deck of 1377 m length is divided into seventy-six segments and the target in this stage is to determine the deck segment that contains damaged member(s). An index vector derived from mode shape curvatures in both intact and damaged states is presented to identify the damage region (segment). In the second stage, the specific damaged member(s) within the damage region is identified by means of a neural network technique. The combined modal parameters in terms of natural frequencies and a few incomplete modal vectors are adopted as input vector to the neural networks. Two back-propagation networks are trained for the damage location detection. The simulation results show that despite very low modal sensitivity of the bridge to deck member damage, the developed method can still locate the damage at longitudinal structural members such as bottom chords, top chords, and diagonal members.
Original languageEnglish
Pages (from-to)312-323
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3995
Publication statusPublished - 1 Jan 2000
EventNondestructive Evaluation of Highways, Utilities, and Pipelines IV - Newport Beach, CA, United States
Duration: 7 Mar 20009 Mar 2000

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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