摘要

Owing to the defects that the existing methods of bridge condition assessment can not update their models, using the detection information, a method of the bridge condition assessment based on the discrete dynamic Bayesian networks was proposed. The concrete cable-stayed bridges were taken as the research objects and the analytic hierarchy process method was used to establish the framework of the bridge condition assessment system. The component elements in the assessment system were set as the nodes in the dynamic Bayesian networks and in accordance with the classification of the structural conditions, the discrete value ranges were given to the nodes and the dynamic Bayesian networks model that was applicable to the bridge condition assessment was established in terms of the time series. Meanwhile, the discrete state samples generating from the analytic hierarchy process method were learnt and the parameters of the model were determined. The proposed method was used for the condition assessment of a concrete cable-stayed bridge, the effectiveness of the method was verified and the facts that the dynamic Bayesian networks could update and modify the condition assessment results of the different bridge components, using the existing detection information, were also illustrated.

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