Open Access
ARTICLE
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:
Structural Durability & Health Monitoring 2023, 17(5), 407-431. https://doi.org/10.32604/sdhm.2023.026033
Received 11 August 2022; Accepted 08 February 2023; Issue published 07 September 2023
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 BB
z 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
BB
z curves are consistent with the analytical results of the theoretical model. Furthermore, the crest-to-trough
behavior on the B
z 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.
Keywords
Cite This Article
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