All-Optical Photoacoustic Sensors for Steel Rebar Corrosion Monitoring

Du, Cong; Twumasi, Jones Owusu; Tang, Qixiang; Guo, Xu; Zhou, Jingcheng; Yu, Tzuyang; Wang, Xingwei

doi:10.3390/s18051353

Cited by 19 publications

(14 citation statements)

References 18 publications

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“…The disadvantage of this method is that there are too many factors that need to be considered and it is cumbersome to calculate [12]. The physical method mainly includes the ultrasonic testing method, which is troublesome in operation and requires high flatness of the concrete surface [13,14]. The X-ray detection method is expensive; besides, the radiation generated by X-rays causes irreversible damage to the human body [15,16].…”

Section: Introductionmentioning

confidence: 99%

Non-Destructive Testing of Steel Corrosion Fluctuation Parameters Based on Spontaneous Magnetic Flux Leakage and Its Relationship with Steel Bar Diameter

et al. 2019

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In an actual structure, the arrangement of steel bars is complicated, there are many factors affecting the corrosion of steel bars, and these factors affect each other. However, accurately reflecting the corrosion of steel bars in actual engineering through theoretical calculations is difficult. Besides, it is impossible to detect and evaluate steel bars rust completely and accurately. This article is based on spontaneous magnetic leakage detection technology and adopts the method of stage corrosion and scanning along the reinforcing bar. Based on spontaneous magnetic flux leakage detection technology, the linear change rate of the tangential component curve of the magnetic flux leakage signal generated after the corrosion of a steel bar is studied, and a comparison is made between the steel bar coated concrete samples with different steel bar diameters. In this paper, the “origin of magnetic flux leakage signal” is defined as a reference point, which is convenient for effectively comparing the magnetic signal curves under all operating conditions. Besides, the “rust-magnetic fluctuation parameter” is proposed to accurately reflect the sudden change of leakage magnetic field caused by disconnection due to the corrosion of a steel bar. A new data processing method is provided for the non-destructive testing of steel corrosion using the spontaneous magnetic flux leakage effect, which can effectively reduce the influence of steel bar diameter on magnetic flux leakage signal and improve the precision of non-destructive testing technology of steel bar corrosion using the metal magnetic memory effect.

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Section: Introductionmentioning

confidence: 99%

Non-Destructive Testing of Steel Corrosion Fluctuation Parameters Based on Spontaneous Magnetic Flux Leakage and Its Relationship with Steel Bar Diameter

et al. 2019

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“…When this happens, corrosion products are chemically created during the rebar corrosion process. Because the volume of the corrosion products can expand several times faster than the volume of the rebars, tensile stress acts on the concrete cover, and the structure's durability is significantly reduced by cracks, delamination, and failures in the concrete as well as the reductions in the rebar's cross-sectional area [3,4,6,[10][11][12]. Therefore, there is a necessity to develop methods for quantitatively measuring the corrosion of rebars that occurs in reinforced concrete structures as well as methods for accurately evaluating the extent to which the strength of the corroded reinforced structure is reduced.…”

Section: Introductionmentioning

confidence: 99%

“…The data from these sensors are used to predict rebar corrosion and evaluate the integrity of the structures. Studies are being continuously conducted to improve the reliability of monitoring techniques and create efficient maintenance systems [3,7,12,13].…”

Section: Introductionmentioning

confidence: 99%

Application of Thermal Image Data to Detect Rebar Corrosion in Concrete Structures

Paik²

2019

Applied Sciences

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Rebar corrosion monitoring techniques have been used in studies involving embedded sensors that can detect changes in the corrosion currents and the polarization resistance of rebars in large structures. Defect detection methods that employ infrared cameras are useful non-destructive testing methods to detect defects in concrete structures. However, the measurement results from these methods would vary depending upon several factors that affect thermography. Because of these reasons, they have not been able to provide sufficient reliability. The goal of this study is to develop a technique that uses infrared cameras to quantitatively measure rebar corrosion rates. To examine the impact of the cover thickness, the experiment variables were set at cover thicknesses of 10, 20, and 30 mm and rebar corrosion ratios of 0%, 1%, 3%, 5%, 7%, and 10%. Each variable was tested and a total of 60 specimens were created (i.e., 54 specimens and 6 preliminary specimens). In this study, corrosion was applied using an electrochemical corrosion method that employs Faraday’s law, i.e., the law of conservation of electric charge. The test results of height, width, and area of temperature distribution curve were analyzed, the height of temperature distribution curve was increased as the heating time was grown. In addition, the area of temperature distribution was varied dependent upon the corrosion rate and cover thickness.

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“…Gold nanocomposite can produce ultrasonic waves by its thermal expansion and contraction upon the illumination of a nanosecond pulse laser through the optical fiber [17]. Propagating ultrasonic waves can be practically measured by using a fiber Bragg grating (FBG) sensor as a receiver [18]. Different from traditional passive FOS techniques, active FOSs can generate acoustic/ultrasonic waves to probe monitored steel members for early-stage corrosion detection.…”

Section: Introductionmentioning

confidence: 99%

Surface Rust Detection Using Ultrasonic Waves in a Cylindrical Geometry by Finite Element Simulation

Tang

et al. 2018

Infrastructures

Self Cite

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Detection of early-stage corrosion on slender steel members is crucial for preventing buckling failures of steel structures. An active photoacoustic fiber optic sensor (FOS) system is reported herein for the early-stage steel corrosion detection of steel plates and rebars using surface ultrasonic waves. The objective of this study is to investigate a potential method for detecting surface corrosion/rust of steel rods using numerically simulated surface ultrasonic waves. The finite element method (FEM) was applied in the simulation of propagating ultrasonic waves on steel rod models. The pitch-catch mode of damage detection was adopted, in which one source (transmitter) and one sensor (receiver) were considered. In this research, radial displacements at the receiver were simulated and analyzed by short-time Fourier transform (STFT) for detecting, locating, and quantifying surface rust located between the transmitter and the receiver. From our time domain and frequency domain analyses, it was found that the presence, location, and dimensions (length, width, and depth) of surface rust can be estimated by ultrasonic wave propagation.

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All-Optical Photoacoustic Sensors for Steel Rebar Corrosion Monitoring

Cited by 19 publications

References 18 publications

Non-Destructive Testing of Steel Corrosion Fluctuation Parameters Based on Spontaneous Magnetic Flux Leakage and Its Relationship with Steel Bar Diameter

Non-Destructive Testing of Steel Corrosion Fluctuation Parameters Based on Spontaneous Magnetic Flux Leakage and Its Relationship with Steel Bar Diameter

Application of Thermal Image Data to Detect Rebar Corrosion in Concrete Structures

Surface Rust Detection Using Ultrasonic Waves in a Cylindrical Geometry by Finite Element Simulation

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