Paper
9 June 2000 Simulation studies of damage location in Tsing Ma Bridge deck
Yi-Qing Ni, Bai Sheng Wang, Jan Ming Ko
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi-Qing Ni, Bai Sheng Wang, and Jan Ming Ko "Simulation studies of damage location in Tsing Ma Bridge deck", Proc. SPIE 3995, Nondestructive Evaluation of Highways, Utilities, and Pipelines IV, (9 June 2000); https://doi.org/10.1117/12.387823
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Cited by 14 scholarly publications.
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KEYWORDS
Bridges

Image segmentation

Neural networks

Numerical simulations

3D modeling

Damage detection

Lithium

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