Prediction method of service performance degradation of reinforced concrete bridges

Abstract

The present invention relates to a method for predicting service performance degradation of reinforced concrete bridges, including: S1: collecting a large number of reinforced concrete girder bridges in the same area over the years, and extracting the required bridge technical data and technical status scores over the years to form reinforced concrete The database of the historical technical status of the bridge group; S2: based on the database formed in step S1, multiple LSTM networks are repeatedly trained and adjusted to obtain a prediction model with good accuracy; S3: the input is built in the same area to be tested Based on the technical data of reinforced concrete bridges and the scoring data of technical status over the years, the prediction model is used to obtain the technical status ratings of each structural component and the whole bridge of the reinforced concrete girder bridge to be tested in the next few years. The invention can reduce the cost for repair and maintenance of small and medium reinforced concrete girder bridges.

Description

technical field [0001] The invention relates to the field of bridge safety, in particular to a method for predicting service performance degradation of reinforced concrete bridges. Background technique [0002] With the increase of bridge service time, the degradation of bridge structural performance is inevitable. If the bridge structure cannot be properly maintained on time, the operation safety of the bridge will inevitably be unable to be guaranteed. However, it is very uneconomical for the operation of small and medium-sized bridges to take measures such as shortening the bridge inspection cycle or installing a bridge real-time monitoring system. Therefore, it is the best choice to reasonably predict the technical status of small and medium-sized bridges based on historical inspection data. [0003] However, for the subject of "reasonable prediction of the technical status of small and medium-sized bridges based on historical inspection data", researchers usually use m...

AI Technical Summary

Problems solved by technology

[0004] The invention provides a method for predicting service performance degradation of reinforced concrete bridges, which solves the problem of too small data scale and unsatisfactory prediction effect while considering the influence of the natural environment on the durability of reinforced concrete bridges, and can be used for middle Operational savings on smaller bridges

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