Rebar corrosion monitoring using magnetic gradient and partial modulus

Jiang, Shenghua; Wang, Hao; Liu, AoZhou

doi:10.1016/j.measurement.2020.107994

Cited by 12 publications

(2 citation statements)

References 17 publications

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“…Jiang et al used magnetic gradient and partial modulus to monitor steel corrosion. Te results show that the calculated results of the magnetic method are basically consistent with the actual loss ratio of uniform corrosion [27]. Zhang et al proposed a new principle for judging buried steel bar corrosion tests on the basis of the SMFL.…”

Section: Introductionsupporting

confidence: 62%

Grading Evaluation of Overall Corrosion Degree of Corroded RC Beams via SMFL Technique

Zhang

Jiang³

et al. 2023

Structural Control and Health Monitoring

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To accurately evaluate the overall corrosion degree of reinforced concrete (RC) beams, on the basis of the SMFL technology, the overall random corrosion detection experiment of six RC beams was carried out. The relationship between the tangential component By and the normal component Bz of the magnetic induction intensity and corrosion degree was analyzed, and a multidefect magnetic dipole model was established. The correlation between the average corrosion ratio C of the RC beam and the magnetic characteristic index KG was emphatically explored. The results showed that, with the increase in the average corrosion ratio C, the magnetic characteristic index KG showed an increasing trend as a whole. The index KG could weaken the influence of different historical magnetizations, but it had a certain dispersion. On the basis of the correlation and the Naive Bayesian model, the average corrosion ratio C was divided into four grades. The probability of C falling in different value ranges can be quantitatively evaluated using the KG magnetic characteristic index. The reliability is as high as 97.4% and as low as 56.8% so as to realize the quantitative grading evaluation of the corrosion of the rebar in the RC beam.

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Section: Introductionsupporting

confidence: 62%

Grading Evaluation of Overall Corrosion Degree of Corroded RC Beams via SMFL Technique

Zhang

Jiang³

et al. 2023

Structural Control and Health Monitoring

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“…One of the RMTs is the Magnetic Memory Method (MMM). The method can detect abnormal conditions arising from changes in crystalline structures of rebar material resulting from stress concentration, corrosion, or cracks [ 3 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 ]. The magneto-resistance (MR) and Hall effect sensors are most commonly used in the magnetic test.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Reinforced Concrete Structures with Magnetic Method and ACO (Amplitude-Correlation-Offset) Decomposition

Frankowski

Chady

2023

Materials

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The magnetic method is one of the very few nondestructive testing (NDT) techniques that provide the possibility to conduct area tests of reinforced concrete (RC) structures in a fast, cheap, and straightforward way. This paper aims to present a new approach to the simultaneous identification of rebars’ diameter, alloy class, and thickness of the concrete cover tested with this method. Since rebars from different manufacturers may have different electromagnetic properties (standardization only for mechanical properties), preparing an effective and universal database is impossible. In this work, ACO decomposition is proposed, a new attributes extraction method designed to identify object parameters, even if it is impossible to collect a suitable training database (by pattern recognition and analysis of the deviation). Conducted tests prove that the ACO method enables accurate reflection of the waveform shape and limitation of attributes number to three or fewer (avoiding the curse of dimensionality). These properties, combined with the ability to analyze spatial components of magnetic induction (which only magnetic sensors provide), make the complex task of identification of three parameters more straightforward and the separation between the results received for different classes larger. This article presents the measurement results and the whole identification process.

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Online monitoring of reinforced concrete corrosion using sensors

Shi

2024

Eco-Efficient Repair and Rehabilitation of Concrete Infrastructures

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Rebar corrosion monitoring using magnetic gradient and partial modulus

Cited by 12 publications

References 17 publications

Grading Evaluation of Overall Corrosion Degree of Corroded RC Beams via SMFL Technique

Grading Evaluation of Overall Corrosion Degree of Corroded RC Beams via SMFL Technique

Evaluation of Reinforced Concrete Structures with Magnetic Method and ACO (Amplitude-Correlation-Offset) Decomposition

Online monitoring of reinforced concrete corrosion using sensors

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