An advanced probabilistic loading model is proposed in this paper to simulate the vehicles running along Ting Kau Bridge based on the weigh-in-motion system installed on the bridge. The weigh-in-motion system collects the information of vehicle speed, heading direction, lane used, axle weight, axle spacing between neighboring axles, etc. The data are employed to develop a statistical traffic load model which is able to incorporate the variation of daily traffic flow within different time intervals and the trend of the annual traffic flow as well as the statistical information. The time-dependent fatigue reliability assessment at critical locations can be carried out. ; Non UBC ; Unreviewed ; This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver. ; Faculty


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    Title :

    Time-dependent fatigue reliability assessment of Ting Kau Bridge based on weigh-in-motion data



    Publication date :

    2015-07-01


    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629




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