Medium-and-small-span bridge reinforcement evaluation method based on health monitoring system

Abstract

The invention relates to a small and medium span bridge reinforcement evaluation method based on a health monitoring system. The method comprises the steps of installing a health monitoring system to collect data before reinforcement, and performing abnormal value elimination and missing value filling on the data collected by the health monitoring system; the method comprises the following steps: decomposing an original signal through an ensemble empirical mode decomposition method to obtain an intrinsic mode function of each order of the signal, performing Fourier transform on the intrinsic mode function of each order to obtain spectrum distribution, and rejecting temperature and long-term trend terms according to a spectrum component of a temperature effect, with the remaining being a live load effect component; establishing a bridge finite element model, and obtaining a live load screening threshold value through vehicle working conditions and influence line load distribution; according to the method, monitoring values larger than a threshold value are screened and then subjected to distribution fitting, a statistical mean value is obtained, the bridge reinforcement effect of small and medium-sized bridges is evaluated according to the monitoring data before and after reinforcement, extraction of live load effect statistical characteristic values of the small and medium-sized bridges is achieved, and the reinforcement effect is effectively evaluated on the premise that traffic is not interrupted.

Description

technical field [0001] This application relates to the field of traffic technology, in particular to a method for evaluating the reinforcement of small and medium-span bridges based on a health monitoring system. Background technique [0002] In the past 30 years, with the rapid development of urbanization, a large number of bridge structures have been built in our country. The total number of bridges has exceeded 100,000, of which small and medium-span bridges account for more than 90%. During the construction and use of bridges, due to the erosion of the environment and harmful substances, vehicles, wind, earthquakes, fatigue, human factors, etc., and The continuous degradation of the material's own performance leads to different degrees of damage and deterioration of various parts of the structure long before reaching the design life. These damages need to be detected and repaired and strengthened in time, otherwise it will affect the driving safety and shorten the servi...

AI Technical Summary

Problems solved by technology

However, the current monitoring system is mainly used in large bridges, while there are few monitoring systems and methods for medium and small span bridges.

[0004] Therefore, for small and medium-span bridges, there is no efficient reinforcement evaluation method, which cannot quickly separate low-frequency signals and extract live load eigenvalues, so as to quickly evaluate the service status of small and medium-span bridges without interrupting traffic, and provide a basis for the evaluation of bridge reinforcement effects.

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