Abstract
At present, the concept of bridge preventive maintenance has been widely used. In order to find the right time for PC bridge maintenance and make better maintenance decision, it is necessary to predict the service performance of PC bridge. In this paper, the service performance of PC bridge is divided into several indexes, and the fuzzy neural network method is used to calculate these indexes data. Taking shangtan bridge as an example, the maximum relative error between the measured value and the predicted value is found to be within 5%, which meets the accuracy requirements. The feasibility of this method is verified and provides guidance for the future decision-making of bridge maintenanc.
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