Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13985
Title: Fatigue reliability analysis of Tsing Ma Bridge
Authors: Chen, ZW
Xu, YL 
Wang, XM
Keywords: Fatigue
Highway loading
Railway loading
Reliability analysis
Structural health monitoring
Wind loading
Issue Date: 2009
Source: Proceedings of the 1st International Postgraduate Conference on Infrastructure and Environment, IPCIE 2009, 2009, p. 461-468 How to cite?
Journal: Proceedings of the 1st International Postgraduate Conference on Infrastructure and Environment, IPCIE 2009 
Abstract: This study is to present a framework for assessing structural reliability in association with fatigue damage at critical locations of the Tsing Ma Bridge by making use of in-situ wind and structural health monitoring systems. The bridge has been continuously monitored for the past ten years by a system known as Wind and Structural Health Monitoring System (WASHMS), which measures the loadings and structural responses of the bridge. Railway, highway and wind loadings are considered to be major contributors to the fatigue damage of the bridge. Random parameters in probabilistic loading models are represented by mixture distribution functions and established by the expectation-maximization (EM) algorithm on the basis of the monitoring data acquired by WASHMS. Daily stochastic stress processes in response to railway, highway and wind loadings at critical locations are developed by virtue of the probabilistic loading models and the finite element stress analysis. With a Monte-Carlo simulation, a location-dependent probabilistic distribution function of daily stress ranges is then derived on the basis of a large number of virtual daily stochastic stress processes. Meanwhile, structural fatigue resistance is also considered as a random variable in the Miner's rule taking account uncertainties in fatigue life assessment. Finally, a limit state function of fatigue reliability is elaborated and a fatigue reliability index is estimated, depending on combined wind, and railway and highway loadings. It is found that the fatigue reliability index decreases nonlinearly with time, and it will be less than 3.7 after 95 years for some critical elements.
Description: 1st International Postgraduate Conference on Infrastructure and Environment, IPCIE 2009, Hong Kong, 5-6 June 2009
URI: http://hdl.handle.net/10397/13985
ISBN: 9789881731128
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