Based on game theory,the comprehensive evaluation method of highway bridges is studied in order to improve the level of bridge management and maintenance.The indicators for comprehensive evaluation of road network bridges is proposed:route traffic volume,bridge technical condition rating,basic data(bridge span,service life),and technical condition prediction data.The Grey neural network model is used to evaluate and predict the technical condition of bridges,and the predicted trend of natural degradation of bridges without considering maintenance is obtained.The feasibility of the comprehensive evaluation method and prediction model are verified through a calculation example of a certain section of an expressway in Hubei Province,and the comprehensive evaluation results of the bridge section are obtained.
bridge engineeringprediction of bridge technical conditioncomprehensive evaluation of bridgesgrey neural networkgame based combination weighting
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