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Title |
Evaluation of the Bending Behavior of RC beam by Using Color-based Image Processing Method
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Authors |
우태련(Tae-Ryeon Woo) ; 정치영(Chi-Young Jung) ; 김인태(In-Tae Kim) ; 이종한(Jong-Han Lee) ; 정진환(Jin-Hwan Cheung) |
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DOI |
https://doi.org/10.11112/jksmi.2020.24.4.48 |
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Keywords |
영상분석 기법; 균열폭; 철근콘크리트; 3점 휨 시험 Image processing method; Crack width; Reinforced concrete; 3 point bending test |
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Abstract |
Cracks in reinforced concrete structures are the most common type of damage and are used as important analytical data to understand thefracture behavior characteristics of structures. Currently, there is a problem that most of the crack investigation relies on visual inspection, thereforemany researchers have proposed image analysis techniques to improve the problem. In this study, we proposed a crack evaluation method to be appliedat an indoor experimental level using image analysis method. The image analysis technique using color is for distinguishing a boundary surface betweenobjects existing in an image, and is a method for separating similar colors into one region based on a predefined color. In this study, to improve theaccuracy of image analysis, blue paint was applied to the concrete surface and bending experiments were performed. The image analysis method wasable to measure the crack width with superior accuracy compared to the crack diameter, and at the same time, it was also possible to analyze the deflectionof the beam. Both the crack and deformation were able to confirm the accuracy similar to the existing measurement method, and it was found thatthe image analysis method was very excellent in terms of applicability.
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