Studies of Vibration-based Damage Detection of Three Cable-Supported Bridges in Hong Kong

摘要

In Hong Kong, a sophisticated instrumentation system has been devised by the Highways Department of the Hong Kong SAR Government to monitor the structural performance and evaluate the health and safety conditions of three long-span cable-supported bridges (the suspension Tsing Ma Bridge, the cable-stayed Kap Shui Mun Bridge and the cable-stayed Ting Kau Bridge. This integrated on-line monitoring system with a total of 774 sensors permanently installed on the bridges is deemed to be the most heavily instrumented bridge project in the world. The implementation of this system highlights the necessity for developing practical damage assessment methodologies. This paper reports the research work in the Hong Kong Polytechnic University to develop vibration-based damage detection methods in accordance with the long-term monitoring system. A particular focus is on exploring a neural network based hierarchical identification strategy for successive detection of the occurrence, type, location and extent of structural damage in the three bridges.