Bridge health state assessment method and system and storage medium

Abstract

The invention discloses a bridge health state assessment method and system and a storage medium. The bridge health state assessment method comprises the following steps: according to a preset weight value, taking the comparison and analysis result of a corrected bridge structure response output result output by the corrected bridge structure model, an initial bridge structure response output result output by the uncorrected bridge structure model and the corrected bridge structure response output result as parameters; taking a bridge health artificial evaluation result obtained according to the bridge structure response actual measurement data and a preset standard evaluation algorithm as a bridge health state evaluation parameter; and evaluating the health state of the bridge. According to the invention, optimization of bridge health condition assessment is realized, the manpower workload is reduced, meanwhile, a scientific score with higher timeliness and objectivity can be given, and real-time correction and optimization of a bridge health condition assessment model are realized.

Description

technical field [0001] The present invention relates to the technical field of bridge engineering, in particular to a bridge health state assessment method, system and computer-readable storage medium based on bridge health monitoring technology. Background technique [0002] In order to ensure the safety and durability of large-scale bridge structures, the health status of the bridge can be known in time through appropriate monitoring methods, especially the hidden damage that may endanger the safety of the bridge can be found at an early stage, which will play a vital role in ensuring the safety of the bridge. It plays an important role and also provides the necessary basis for bridge maintenance and reinforcement, which can save bridge maintenance and reinforcement costs and avoid the inconvenience and loss caused by frequent overhaul and traffic closures. [0003] The detection and diagnosis of bridge health is an interdisciplinary field, involving statistics, fuzzy set ...

AI Technical Summary

Problems solved by technology

In terms of data collection, sensors are generally used to obtain the health status of the bridge structure through changes in static and dynamic performance indicators under the operating state of the bridge structure. The amount of data obtained is small and the type of data is single, so it is impossible to accurately predict the health status of the bridge. development trend

In terms of data management, due to the limitation of data processing capacity, the potential value of data cannot be fully tapped, and the data processing cycle is long

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