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Quantitative Detection of Corrosion State of Concrete Internal Reinforcement Based on Metal Magnetic Memory

Zhongguo Tang1, Haijin Zhuo1, Beian Li1, Xiaotao Ma2, Siyu Zhao2, Kai Tong2,*

1 Guangxi Xinxiang Expressway Co., Ltd., Nanning, 530000, China
2 College of Civil Engineering, Chongqing Jiaotong University, Chongqing, 400074, China

* Corresponding Author: Kai Tong. Email: email

Structural Durability & Health Monitoring 2023, 17(5), 407-431. https://doi.org/10.32604/sdhm.2023.026033

Abstract

Corrosion can be very harmful to the service life and several properties of reinforced concrete structures. The metal magnetic memory (MMM) method, as a newly developed spontaneous magnetic flux leakage (SMFL) non-destructive testing (NDT) technique, is considered a potentially viable method for detecting corrosion damage in reinforced concrete members. To this end, in this paper, the indoor electrochemical method was employed to accelerate the corrosion of outsourced concrete specimens with different steel bar diameters, and the normal components BBz and its gradient of the SMFL fields on the specimen surfaces were investigated based on the metal magnetic memory (MMM) method. The experimental results showed that the SMFL experimental BBz curves are consistent with the analytical results of the theoretical model. Furthermore, the crest-to-trough behavior on the Bz signal curve and its zero-point gradient spacing can more accurately indicate the corroded area’s extent. Then, a magnetic characteristic parameter W based on a large amount of experimental data was established to characterize the degree of corrosion of the steel bars. The magnetic characteristic parameter W is linearly related to the maximum cross-sectional area loss rate η of the corroded reinforcement. This paper will lay the foundation for future research on corrosion detection of reinforced concrete structures based on the MMM method and provide a feasible way for non-destructive detection of corrosion independent of the influence of reinforcement diameter and magnetization history.

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APA Style
Tang, Z., Zhuo, H., Li, B., Ma, X., Zhao, S. et al. (2023). Quantitative detection of corrosion state of concrete internal reinforcement based on metal magnetic memory. Structural Durability & Health Monitoring, 17(5), 407-431. https://doi.org/10.32604/sdhm.2023.026033
Vancouver Style
Tang Z, Zhuo H, Li B, Ma X, Zhao S, Tong K. Quantitative detection of corrosion state of concrete internal reinforcement based on metal magnetic memory. Structural Durability Health Monit . 2023;17(5):407-431 https://doi.org/10.32604/sdhm.2023.026033
IEEE Style
Z. Tang, H. Zhuo, B. Li, X. Ma, S. Zhao, and K. Tong "Quantitative Detection of Corrosion State of Concrete Internal Reinforcement Based on Metal Magnetic Memory," Structural Durability Health Monit. , vol. 17, no. 5, pp. 407-431. 2023. https://doi.org/10.32604/sdhm.2023.026033



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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