Research on Stress State Detection Method of Reinforced Concrete Based on Magnetic Induction Chain

The stress state of reinforced concrete structures is a core indicator for evaluating their safety performance and health status. Traditional stress detection methods have limitations, such as being able to measure only relative stress, being difficult to detect deep inside materials, or being unable to directly measure the prestress of in-service structures. In view of the deficiencies of the existing technology, this paper proposes a new method for detecting the stress state of reinforced concrete based on magnetic induction chain. This method uses an external magnetic field device and Hall sensors on the concrete surface to penetrate and magnetize the internal steel bars using magnetic fields, forming a magnetic induction chain. Combined with remote magnetic field measurement technology, it monitors magnetic field changes to achieve real-time, non-destructive detection of the stress state of the steel bars. By establishing a mathematical model of the force-magnetic coupling relationship, the correlation between changes in magnetic induction intensity and stress is analyzed, allowing for quantitative assessment of the structural stress state. Furthermore, the prestress level in the in-service structure can be indirectly deduced by comparing the magnetic induction intensity between the experimental structure and the structure to be tested using a calibration method. The research results show that this method has the advantages of high sensitivity, strong reliability, and easy digital output, and can effectively overcome the material dispersion problem of traditional methods, visually display the changes of steel bars under different stress states, and provide a new approach for real-time and accurate structural detection.

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Publication Details

Journal
Engineering Materials and Structures
Published
2025-06-28
DOI
https://doi.org/10.48014/ems.20250513001
Primary Topic
Non-Destructive Testing Techniques
Type
article
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article

Research on Stress State Detection Method of Reinforced Concrete Based on Magnetic Induction Chain

Benniu ZHANG, Zhijian Zhang
Engineering Materials and Structures
Non-Destructive Testing Techniques
article

Research on Stress State Detection Method of Reinforced Concrete Based on Magnetic Induction Chain

Benniu ZHANG, Zhijian Zhang
article en

Abstract

The stress state of reinforced concrete structures is a core indicator for evaluating their safety performance and health status. Traditional stress detection methods have limitations, such as being able to measure only relative stress, being difficult to detect deep inside materials, or being unable to directly measure the prestress of in-service structures. In view of the deficiencies of the existing technology, this paper proposes a new method for detecting the stress state of reinforced concrete based on magnetic induction chain. This method uses an external magnetic field device and Hall sensors on the concrete surface to penetrate and magnetize the internal steel bars using magnetic fields, forming a magnetic induction chain. Combined with remote magnetic field measurement technology, it monitors magnetic field changes to achieve real-time, non-destructive detection of the stress state of the steel bars. By establishing a mathematical model of the force-magnetic coupling relationship, the correlation between changes in magnetic induction intensity and stress is analyzed, allowing for quantitative assessment of the structural stress state. Furthermore, the prestress level in the in-service structure can be indirectly deduced by comparing the magnetic induction intensity between the experimental structure and the structure to be tested using a calibration method. The research results show that this method has the advantages of high sensitivity, strong reliability, and easy digital output, and can effectively overcome the material dispersion problem of traditional methods, visually display the changes of steel bars under different stress states, and provide a new approach for real-time and accurate structural detection.

Engineering Materials and StructuresVol. 4(2)
Openalex Percentile: Top 75%
Non-Destructive Testing Techniques
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