Network-level bridge structure performance evaluation and prediction method

Abstract

The invention relates to a network-level bridge structure performance evaluation and prediction method, which comprises the following steps: S1, collecting a detection report of each bridge over the years, extracting technical condition scores, bridge ages, structure types, traffic volumes and maintenance behavior information of each year, and constructing a relational database; s2, based on the data in the relational database, training and checking the established structural performance degradation model; s3, predicting the overall structure of the bridge in the regional road network and theperformance change trend of the local component by using the trained structural performance degradation model; and S4, giving an optimized overhaul scheme and a maintenance strategy of bridges in theregional road network. Compared with the prior art, the method has the advantages that the data mining technology is integrated, mass detection data accumulated under the condition of long-term bridgeinspection work is effectively and fully utilized, the neural network model is established, the extracted data is converted into valuable knowledge in the bridge management and maintenance field, andthe network-level bridge structure performance evaluation prediction and decision support are realized.

Description

technical field [0001] The invention relates to the field of bridge safety, in particular to a network-level bridge structure performance evaluation and prediction method. Background technique [0002] my country is the country with the largest number of highway bridges in the world. According to the statistical information of the Ministry of Transport, by the end of 2016, there were 805,300 highway bridges in my country, with a cumulative length of 49.1697 million linear meters. With the increasing service life of bridges, a large number of newly built bridges are gradually entering the "aging" stage, and various forms of structural degradation inevitably occur. It can be seen that it is urgent to promote the management and maintenance of various types of bridges in service. However, for the designated traffic road network, although a large amount of precious data containing valuable structural information has been accumulated in the perennial structural inspection, there...

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Problems solved by technology

At the same time, how to simulate the complex nonlinear and logical relationship between bridge performance degradation trends and its basic parameters based on this database is a difficult task

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