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Proceedings Paper

Simulation studies of damage location in Tsing Ma Bridge deck
Author(s): Yi-Qing Ni; Bai Sheng Wang; Jan Ming Ko
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Paper 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.

Paper Details

Date Published: 9 June 2000
PDF: 12 pages
Proc. SPIE 3995, Nondestructive Evaluation of Highways, Utilities, and Pipelines IV, (9 June 2000); doi: 10.1117/12.387823
Show Author Affiliations
Yi-Qing Ni, Hong Kong Polytechnic Univ. (Hong Kong)
Bai Sheng Wang, Zhejiang Univ. (China)
Jan Ming Ko, Hong Kong Polytechnic Univ. (Hong Kong)

Published in SPIE Proceedings Vol. 3995:
Nondestructive Evaluation of Highways, Utilities, and Pipelines IV
A. Emin Aktan; Stephen R. Gosselin; Stephen R. Gosselin, Editor(s)

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