Crack Control Method for Steel Strand-BFRC Reinforced Members Based on Strain Monitoring

By deploying a distributed strain sensor network at the interface between the steel strand mesh and the BFRC layer, and combining it with a crack propagation prediction model, the preload of the steel strands can be monitored in real time and dynamically adjusted. This solves the problem of crack control lag in existing technologies, achieves high-precision and real-time crack suppression, and improves the durability and safety of reinforced components.

CN120669531BActive Publication Date: 2026-03-10CHINA RAILWAY SEVENTH BUREAU GRP XIAN RAILWAY ENG CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-09
Publication Date
2026-03-10

AI Technical Summary

Technical Problem

Existing steel strand and basalt fiber reinforced composite (BFRC) combined reinforcement technology lacks dynamic adjustment capability in crack control. Traditional monitoring methods are unable to capture early signs of cracks in a timely manner, and there is a lack of optimization adjustment strategies with real-time closed-loop feedback, resulting in lag and uncertainty in crack control.

Method used

A distributed strain sensor network is deployed at the interface between the steel strand mesh and the BFRC layer. A crack propagation prediction model is established by combining historical test data to monitor strain changes in real time, dynamically calculate the crack propagation path and critical width, and form a closed-loop feedback control by adjusting the preload of the steel strand through an actuator.

Benefits of technology

It enables accurate prediction and real-time adjustment of cracks, improves the precision and response speed of crack control, slows down crack propagation, and enhances the durability and safety of reinforced components.

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Abstract

This invention relates to the field of crack control technology, specifically to a crack control method for steel strand-BFRC reinforced members based on strain monitoring. The method includes deploying a distributed strain sensor network at the interface between the steel strand network and the BFRC layer of the reinforced member; establishing a crack propagation prediction model based on historical test data, with model inputs including the steel strand reinforcement ratio, BFRC tensile strength, and interface strain threshold; real-time acquisition of monitoring data from the strain sensor network, identifying and marking areas of abrupt interface strain change as potential crack initiation points; dynamically calculating the crack propagation path and critical width; generating steel strand preload adjustment parameters; and dynamically adjusting the steel strand preload through an actuator to form a closed-loop feedback control. This invention achieves continuous optimization and adaptive adjustment of the crack suppression strategy, effectively slowing down crack propagation and improving the durability and safety of reinforced members in complex service environments.
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Citation Information

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