Prefabricated bridge structure performance analysis method based on monitoring data

Abstract

The invention discloses a prefabricated bridge structure performance analysis method based on monitoring data. The method comprises the following steps that a, a prefabricated part responds to preprocessing of monitoring data; b, the prefabricated part responds to a monitoring data correlation analysis model; c, the prefabricated part responds to short-term prediction of the correlation coefficient of the monitoring data, and short-term prediction is conducted on the Pearson correlation coefficient of the monitoring data through a cubic smoothing index method; d, the prefabricated part responds to a short-term prediction error of the monitoring data correlation coefficient; and e, when the Pearson correlation coefficient analysis error cannot meet a set precision value, the steps c and d are repeated, and a higher-order smooth index is considered until the Pearson correlation coefficient analysis error meets the set value. According to the invention, the material degradation performance of each prefabricated part of the prefabricated bridge in active service can be revealed, and the service performance degradation condition of two adjacent prefabricated part connecting pieces can be revealed; and based on short-term prediction, a targeted maintenance and management decision is made.

Description

technical field [0001] The invention relates to the field of intelligent monitoring and operation and maintenance of assembled bridges, in particular to a method for analyzing the structural performance of prefabricated assembled bridges based on monitoring data. Background technique [0002] At present, due to the difficulty in effectively processing massive monitoring data, complex service performance changes of different bridges on the same transportation route, and bridge location environment in bridge structure monitoring, there is a common phenomenon that monitoring data analysis is out of touch with bridge structure maintenance management. Such phenomena occur The reason mainly lies in the following two aspects: [0003] 1. The monitoring data is affected by the performance of the monitoring sensor (such as sensitivity and durability), the power of the monitoring system, the Internet, and the environment of the bridge. In most cases, researchers will subjectively sel...

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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the traditional analysis method of monitoring data fails to fully consider the correlation and correlation of monitoring data of different sensor types and different measuring points, and cannot implement the performance analysis and prediction and unified management decision-making of a large number of prefabricated bridge structures in active service , proposed a performance analysis and prediction method for prefabricated prefabricated bridge structures in active service based on monitoring data, adopted the monitoring data correlation analysis model and short-term prediction, realized the real service state analysis of prefabricated component structures, and based on short-term prediction, formulated more targeted Sexual Stewardship Decisions

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