Method suitable for detecting durability of bridge

Abstract

The invention discloses a method suitable for detecting the durability of a bridge, which comprises the following steps of: 1, acquiring an electrochemical signal and a steel bar sample of a service bridge, and establishing an analysis database; 2, based on the collected electrochemical signals and a steel bar sample, constructing a relation model between electrochemical detection signals and mechanical properties by adopting a finite element technology; 3, constructing an electrochemical signal-deformation degree-residual life time-varying model conforming to a real bridge boundary condition;and 4, based on the constructed electrochemical signal-deformation degree-residual life time-varying model, preparing a rusted steel bar failure chromatographic specimen, and performing comparing toobtain the durability of the bridge. According to the method, nondestructive quantitative visual detection and rapid and accurate diagnosis of the service bridge can be realized, the detection efficiency and corrosion grade identification of the corrosion condition of the reinforcing bars in the bridge are improved, the method has important significance for promoting the development of a bridge nondestructive quantitative detection technology and a durability prediction technology, and a relatively good use effect is achieved.

Description

technical field [0001] The invention relates to a method suitable for testing the durability of bridges, which belongs to the technical field of bridge testing equipment. Background technique [0002] By building a bridge health status detection and management decision-making system based on knowledge discovery and knowledge reasoning, it can not only assist bridge management and maintenance personnel, track and predict the dynamic information and health status of urban bridge infrastructure in real time, and effectively reduce the daily bridge costs of municipal facilities maintenance departments. Inspection workload, improve bridge inspection level and management level, and make full use of the massive data accumulated daily by bridges, apply data mining and knowledge discovery technology, dig out knowledge or models with expert level, and combine bridge management and maintenance fields Part of the prior knowledge of experts, through the establishment of a knowledge reaso...

AI Technical Summary

Problems solved by technology

[0004] At present, the corrosion of steel bars is one of the reasons that lead to the decline of mechanical properties and induce major bridge accidents.

At present, the hot spot of research is almost on the equipment and software processing of non-destructive quantitative detection, and there is no real establishment system for the rapid diagnosis and classification of the corrosion degree of bridges in service.

[0005] In the existing technology, the linear polarization method is used to basically realize the non-destructive quantitative and rapid detection of the corrosion degree of the internal reinforcement of the concrete bridge in service. However, because the output results can only be data, visualization has not been realized, and there is no way to classify the corrosion degree. Standard and comparative maps of