High-speed rail large-scale bridge performance evaluation method based on health monitoring data

Abstract

The invention discloses a high-speed rail large-scale bridge performance evaluation method based on health monitoring data, which relates to the field of bridge engineering detection. The high-speed rail large-scale bridge performance evaluation method comprises the steps of arranging an automatic sensor hardware equipment system on a high-speed rail bridge in an optimized manner, achieving automatic data acquisition, carrying out denoise processing, time domain statistical processing, frequency domain processing and the like on measured data in sequence, and evaluating bridge running safety performance based on the health monitoring data. The high-speed rail large-scale bridge performance evaluation method meets the actual requirements of high-speed rail bridge detection and evaluation, can reflect the running safety of the high-speed rail bridge accurately and timely, and provides important guarantee for the safe running of high-speed trains; the evaluation results obtained through adopting the method are unified with the high-speed rail conventional detection and evaluation results, thereby facilitating the actual application of the method for the bridge managers; and decision-making suggestions for targeted bridge maintenance and repair are made on the basis of the evaluation results obtained through adopting the method, thereby being conductive to implementing timely maintenance and dynamic maintenance, and greatly improving the bridge overhaul efficiency.

Description

technical field [0001] The invention relates to the field of bridge engineering detection, in particular to a method for evaluating the performance of large high-speed rail bridges based on health monitoring data. Background technique [0002] With the continuous development of super-large bridges, the requirements for the inspection and evaluation of corresponding bridges in operation are getting higher and higher, and the traditional methods based on manual inspection and evaluation are difficult to meet the needs of super-large bridge inspection and evaluation. In this context, the bridge structural health monitoring system has also been continuously developed, and has become one of the research hotspots in the field of structures. The bridge health monitoring system conducts real-time and automatic dynamic monitoring of the surrounding environmental parameters and various dynamic responses of the bridge structure by setting various sensors and signal transmission equipme...

AI Technical Summary

Problems solved by technology

[0024] The purpose of the present invention is to provide a method for evaluating the performance of large high-speed railway bridges based on health monitoring data, aiming at the problems of "night skylight" manual detection, low detection and evaluation efficiency and weak accuracy in the current detection and evaluation of large high-speed railway bridges, and the current In the existing large-scale bridge health monitoring system, problems such as damage identification and bridge performance evaluation are difficult due to the limited number of measuring points and the influence of test noise

Images