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Dynamic Monitoring of Structural Health in Cable-Supported Bridges

Ko, Jan Ming, Ni, Yi-Qing, & Chan, Tommy H.T. (1999) Dynamic Monitoring of Structural Health in Cable-Supported Bridges. In Liu, S.C. (Ed.) Smart Structures and Materials 1999: Smart Systems for Bridges, and Highways, 1-2 March 1999, Newport Beach, California, USA.

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Abstract

A sophisticated instrumentation system, called Wind and Structural Health Monitoring System (WASHMS), is devised by the Hong Kong Highways Department to monitor the structural health and performance of three long-span cable-supported bridges in Hong Kong. This system consists of about 900 sensors including accelerometers. Strain gauges, displacement transducers, level sensing stations, anemometers, temperature sensors and wight-in-motion sensors. The Hong Kong Polytechnic University is commissioned to investigate the feasibility of using measured dynamic characteristics for structural damage detection in these bridges. Explored in this paper are some key issues related to developing a viable vibration-based damage assessment strategy for these bridges: (a) Evaluation of possible damage likely to occur in the three bridges - the detectibility of damage to structural components by using global or local dynamic characteristics is discussed; (b) Concept and rules of damage detection oriented modeling for large-scale structures - a super-element formulation for complicated two-tier bridge deck is developed within this framework; (c) System identification methodology for heavily redundant structures - a neural network based hierarchical identification strategy is pose for successively detecting the occurrence, type, location and extent of the damage.

Impact and interest:

9 citations in Scopus
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14 citations in Web of Science®

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ID Code: 12925
Item Type: Conference Paper
Additional Information: For more information, please refer to the publisher's website (see hypertext link) or contact the author.
Keywords: cable, supported bridge, vibration, based diagnosis, damage detection orientation modeling, hierarchical neural network identification
DOI: 10.1117/12.348666
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Mechanical Engineering not elsewhere classified (091399)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Structural Engineering (090506)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Urban Development
Copyright Owner: Copyright 1999 International Society for Optical Engineering (SPIE)
Deposited On: 07 Mar 2008
Last Modified: 11 Aug 2011 02:30

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