Steel box girder evaluation method and system based on monitoring data

Abstract

The invention discloses a steel box girder evaluation method and system based on monitoring data, and the method comprises the steps of firstly carrying out the preprocessing of the stress time history and temperature information of different monitoring points of a monitored steel box girder, and carrying out the separation through an empirical mode decomposition method, and obtaining a fast-change component and a slow-change component; secondly, extracting stress data according to a multiple linear regression method, and carrying out mutual correction fusion on the stress data, the fast-change component and the slow-change component; then calculating fatigue damage and fatigue life of the steel box girder based on monitoring data, and evaluating the service state of the steel box girder with the fatigue life as an index; and meanwhile, building a steel box girder stress evaluation system, so that the functions of data import, preprocessing, state evaluation and the like are realized. According to the method, the service performance of the main beam can be dynamically evaluated by using the existing monitoring data, damage and diseases of the structure can be found in time, and a theoretical basis can be provided for intelligent early warning of the service state of the key component of the large-span cable-stayed bridge.

Description

technical field [0001] The invention belongs to the technical field of structural health monitoring, and in particular relates to a steel box girder evaluation method and system based on monitoring data. Background technique [0002] With the increase of my country's traffic volume, the increase of the service life of bridges and the objective overload phenomenon, the fatigue damage of steel box girders, especially the fatigue cracking of steel box girder orthotropic bridge decks, has become increasingly prominent. For fatigue damage assessment of beams, predictive analysis of future stress forms is also required. In recent years, my country's Jiangyin Yangtze River Bridge, Runyang Yangtze River Bridge and other large bridges have suffered problems such as damage and cracking of steel box girder decks. The intelligent health monitoring system can realize uninterrupted detection in extreme environments, and provides a guarantee for the overall, comprehensive and long-term hea...

AI Technical Summary

Problems solved by technology

However, the relevant algorithms are not mature enough at present. Due to the interference of the environment, some data of the sensor have large missing and drifting phenomena, which makes the data of this segment lose the research significance because it cannot reflect the real information of the structure. At the same time, the algorithm for processing the relevant stress data is not Mature

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