A Bridge Corrosion Monitoring and Life Prediction Method

Abstract

The invention discloses a method for monitoring corrosion and predicting service life of a bridge. Through the method, a time between a current state of the bridge and a bridge corrosion cracking stage is comprehensively judged by using methods such as Fick's second law and the like according to feedback data of three groups of chloridion concentration sensors and corrosion rate sensors which are mounted in different depths of the bridge, so that residual service life of the bridge under the condition without the maintenance is obtained, and therefore the purposes of monitoring the corrosion state of the bridge and predicting the service life of the bridge are achieved. According to the method disclosed by the invention, the problem of monitoring the corrosion state of the built bridge is mainly solved, the residual service life of the bridge structure is predicted by sensor data to remind maintenance personnel of maintaining the bridge in time, and thus the safety of the bridge structure and normal passage of traffic are guaranteed.

Description

technical field [0001] The invention belongs to the field of reinforced concrete bridge structure monitoring, and relates to an analysis method for predicting the service life of the structure by utilizing the chloride ion concentration and corrosion rate of the concrete structure. Background technique [0002] Corrosion of reinforced concrete structures caused by the diffusion of metal ions, mainly chloride ions, is the most important cause of bridge structure damage. Therefore, for the reinforced concrete bridge structure, real-time monitoring of its structural health status is of great significance to ensure the safety of the bridge structure and the normal passage of traffic. Most of the existing corrosion monitoring sensors cannot effectively monitor the long-term diffusion of corrosion, nor can they predict the remaining life of bridge structures based on the current corrosion conditions. This defect causes bridge maintenance personnel to judge the data fed back by se...

AI Technical Summary

Problems solved by technology

Most of the existing corrosion monitoring sensors cannot effectively monitor the long-term diffusion of corrosion, nor can they predict the remaining life of the bridge structure based on the current corrosion situation.

This defect causes bridge maintenance personnel to judge the data fed back by sensors based on their own relevant experience, which reduces the timeliness of bridge structure monitoring and greatly increases the workload of bridge maintenance personnel.

At present, various steel mesh corrosion sensors for long-term monitoring of corrosion conditions have been used in many new concrete structures, but the complexity of the installation of these sensors makes these sensors not suitable for use in existing reinforced concrete structures

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