A Feasibility Study on Damage Detection of three Cable-Supported Bridges in Hong Kong using Vibration Measurement
Chan, Tommy H.T., Ko, Jan Ming, Ni, Yi-Qing, Lau, C.K., & Wong, K.Y. (2000) A Feasibility Study on Damage Detection of three Cable-Supported Bridges in Hong Kong using Vibration Measurement. In Li, Aiqun, Sih, George, Nied, Herman, & Li, Z. (Eds.) Workshop on Research and Monitoring of Long Span Bridges, 26-28 April, Hong Kong.
A feasibility study on vibration-based damage detection methods for the three cable supported bridges in Hong Kong is carried out. Emphasis is placed on how to deal with the noise corrupted/uncertain measurement data and how to use the series data from the on-line monitoring system for damage detection. Numerical simulation studies of using the noisy series measurement modal data for damage occurrence detection in terms of the auto-associative neural network arc presented. Neural network based novelty detectors using only natural frequencies of the intact and damaged structure are developed for the detection of damage occurrence in the three bridges. The noisy/uncertain measurement data are produced by polluting the analytical natural frequencies with random noise. Numerical simulations of a series of damage scenarios show that when the maximum frequency change caused by damage exceeds a cel1ain threshold, the occurrence of damage can be unambiguously flagged with the novelty detectors.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Additional Information:||For more information, please contact the author.|
|Keywords:||Suspension bridge, cable, stayed blidge, on, line monitoring system, damage detection, auto¬associative neural network|
|Subjects:||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 2007 Southeast University Press|
|Deposited On:||04 Mar 2008 00:00|
|Last Modified:||10 Aug 2011 16:30|
Repository Staff Only: item control page