Magnetic detection of corroded steel rebar: Reality and simulations

Mosharafi, Milad; Mahbaz, SeyedBijan; Dusseault, Maurice B.; Vanheeghe, Ph

doi:10.1016/j.ndteint.2020.102225

Cited by 21 publications

(9 citation statements)

References 23 publications

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“…The electromagnetic methods may be used to localize rebars in the structure, precisely estimate basic structure parameters (such as the thickness of the concrete cover, the rebar’s diameter, the rebars class [ 8 , 9 , 10 ], and detect corrosion or other flaws [ 11 , 12 , 13 ]). The most significant advantages of the methods from this group are the direct impact on reinforcement, the low damping of electromagnetic waves by concrete and the high spectrum of frequencies that can be used.…”

Section: Introductionmentioning

confidence: 99%

“…In this method, the typical excitation frequency range is from 0.5 to 10 kHz (for reinforced concrete structures). The eddy current method can be used not only to detect the presence of rebars but also to determine the thickness of the concrete cover, the rebar’s diameter, the alloy of reinforcing bars (due to different electrical properties), or even to detect corrosion of rebars [ 8 , 9 , 10 , 11 , 12 , 13 ]. The effective range of the eddy current method is from 0 to about 100 mm.…”

Section: Introductionmentioning

confidence: 99%

“…In this way, the magnetic field is influenced by rebars and can be used to localize them in the concrete structure. The magnetic flux can be disturbed by discontinuities in the material, such as breaks or cracks [ 12 ]. The magnetic flux leakage caused by rebar inhomogeneity can be detected at a distance in the range of the typical concrete cover [ 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

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Impact of Magnetization on the Evaluation of Reinforced Concrete Structures Using DC Magnetic Methods

Frankowski

Chady

2022

Materials

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The magnetic method is the most promising method that can be used to inspect large areas of reinforced concrete (RC) structures. Magnetization is a crucial process in this method. The paper aims to present the impact of the magnetization method on the results in the detection of reinforced bars (rebars) and the evaluation of concrete cover thickness in reinforced concrete (RC) structures. Three cases (without magnetization, same pole magnetization, and opposite pole magnetization) were considered in the experiments. Results achieved in all the methods are presented and evaluated. Two different sensing elements were used in the measurements: a magneto-optical (MO) sensor and an AMR sensor. The advantages and disadvantages of both mentioned transducers are presented and discussed in the context of a large areas inspection. The new approach involves using various magnetization methods to improve measurement results for complex structures.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact of Magnetization on the Evaluation of Reinforced Concrete Structures Using DC Magnetic Methods

Frankowski

Chady

2022

Materials

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“…Based on magnetic flux leakage detection, researchers have carried out important research on the magnetic properties of rebar in RC structures and obtained several research results [15,16]. The self-magnetic flux leakage (SMFL) technology [17] is based on the magnetic memory property of metals to collect the magnetic leakage intensity emitted by ferromagnetic materials at the rust damage, diagnose the presence of rust damage, and locate the location of the disease by detecting and analyzing the intensity of the magnetic leakage field on the surface of ferromagnetic components and its change characteristics [18]. The technology does not require additional external magnetic field excitation and pretreatment of the surface of the component to be tested, and can directly detect the rust loss defects of the component to be tested, which is convenient, sensitive, and does not cause environmental pollution.…”

Section: Introductionmentioning

confidence: 99%

Quantitative corrosion detection of reinforced concrete based on self-magnetic flux leakage and rust spot area

Chen¹,

Liu²,

Lin³

et al. 2022

Eng. Res. Express

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The internal rebar corrosion of reinforced concrete (RC) structures harm the bearing capacity and durability of structures. Existing methods can measure rebar corrosion but are unsuitable for RC structures. Given this, the self-magnetic flux leakage (SMFL) field of V-shaped rebar corrosion damage was analyzed according to the magnetic dipole model, and the parameter K was proposed to characterize the corrosion degree. Using the naive Bayes algorithm, the SMFL method and the rust spot area analysis method were correlated to propose a rebar corrosion detection method. A corrosion detection experiment was conducted on RC specimens. The results showed that the parameter K was linearly correlated with the maximum cross-sectional rust loss rate ƞ. Using the parameter K to evaluate the rust degree, the accuracy of rebar rust classification was 70%. After introducing the rust spot area ratio S as a supplementary parameter, the accuracy of rebar rust classification increased by 12.5% to 82.5%. This indicates that the proposed method could quantitatively detect the corrosion of the rebars within the concrete.

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“…Postconcreting inspections are based on ground penetrating radar (GPR), 6 electromagnetism, 7 thermography, 8 and ultrasonic waves. 9 The information captured by these common methods can be represented as images that can be analyzed directly using machine learning classification, 10 multi-scale Harris corner detection algorithm, 11 selfmagnetic behavior simulation, 12 numerical modeling, 8 and artificial neural network. 9 These methods are considered technological innovations; nevertheless, they suffer from Discussion on this paper must be submitted within two months of the print publication.…”

mentioning

confidence: 99%

Reconstruction of tunnel lining rebars from terrestrial laser scanning data

Cheng

Zheng

Qiu

2023

Structural Concrete

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Incorrect rebar placement has led to serious concrete structural failures; thus, site inspectors must ensure that the rebars placed are compliant with asdesigned drawings before tunnel lining concreting. This paper aims to develop a methodology that automatically segments the semantics (e.g., main rebar and distribution rebar) and instances of curved rebars and reconstructs the tunnel lining rebars from the raw point clouds. There are five main parts in the proposed methodology: rebar mesh reshaping, rebar mesh extraction and refinement, semantic segmentation, instance labeling, and rebar mesh modeling. To validate the developed methodology, an experiment was conducted on the rebar point cloud of a high-speed railway tunnel. The evaluation of the accuracies of segmentation was conducted by comparisons with the existing methods and manually labeled ground truth data. The results show that the rebar segmentation has high precision values with the acceptable recall values, and that the rebar models reconstructed achieve millimeter-level (about 2 mm) accuracy.

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Magnetic detection of corroded steel rebar: Reality and simulations

Cited by 21 publications

References 23 publications

Impact of Magnetization on the Evaluation of Reinforced Concrete Structures Using DC Magnetic Methods

Impact of Magnetization on the Evaluation of Reinforced Concrete Structures Using DC Magnetic Methods

Quantitative corrosion detection of reinforced concrete based on self-magnetic flux leakage and rust spot area

Reconstruction of tunnel lining rebars from terrestrial laser scanning data

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