Detection of hidden corrosion in metal roofing shingles utilizing infrared thermography

Wicker, Michael; Alduse, Bejoy P.; Jung, S.J.

doi:10.1016/j.jobe.2018.07.018

Cited by 29 publications

(15 citation statements)

References 23 publications

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“…When chlorides infiltrate a reinforced concrete structure, a potential difference occurs because the chlorides do not enter all the parts of the rebar in a uniform manner [7,20,28]. The potential difference causes the electrons to flow in the rebar and, simultaneously, electrochemical reactions on the rebar surface [29].…”

Section: Rebar Corrosion Mechanismmentioning

confidence: 99%

“…Along with this assumption, the maximum corrosion rate was established to 10% based on reviewing the previous studies in corrosion of concrete. In addition, the cover thickness of this study (10,20, and 30 mm) is most commonly applied in the reinforced concrete structures. Each variable was tested and a total of 60 specimens were created (54 specimens and 6 preliminary specimens).…”

Section: Creation Of Specimensmentioning

confidence: 99%

“…Defect detection methods that employ infrared cameras are useful non-destructive testing methods to detect defects in concrete structures [18][19][20][21][22][23][24]. These methods are non-contact, stable, prompt, remote detection, and continuous testing methods [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Rebar Corrosion Mechanismmentioning

confidence: 99%

Section: Creation Of Specimensmentioning

confidence: 99%

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

Paik²

2019

Applied Sciences

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“…The eddy current testing method detects shallow depth and is not suitable for large structures [17,18]. Infrared thermography requires different temperatures and is highly susceptible to the environment [19,20]. Moreover, acoustic emission technology needs external sound waves to be applied to the structure, which is cumbersome to operate [21,22].…”

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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“…[7][8]. Material defects research not only on composite material but also other material such as metal, aluminium, foam and other [9] [10].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Composite Defect and Segmentation in RGB and Lab Colour Space

Anwar¹

2019

IJATCSE

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Composite material has the advantage where it has been used in manufacturing electric vehicle and aerospace components due to the stiffness, hardness and lightness of the material. However, because of the anisotropy of the composite material, the inspection of material is still become a challenge. Active thermography has been applied as one of non-destructive tools to test, assess and identify composite fibre defects. In this project a low-resolution infrared camera is used to measure composite defect using active thermography method. The infrared images taken were then converted into RGB and Lab Colour Space. Image filtering and enhancement were then utilized and finally using circle detection algorithm to determine the number of defects on composite material. A comparison was done on segmentation between RGB and Lab colour spaces and determine which colour space that could produce optimum result by identifying the maximum total of actual defects. Simulation depth defect of a glass fibre reinforced polymer (CFRP) with different depth and diameter of defects is used as the sample testing.

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Detection of hidden corrosion in metal roofing shingles utilizing infrared thermography

Cited by 29 publications

References 23 publications

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

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

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

Comparative Study of Composite Defect and Segmentation in RGB and Lab Colour Space

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