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http://dx.doi.org/10.11112/jksmi.2020.24.4.48

Evaluation of the Bending Behavior of RC beam by Using Color-based Image Processing Method  

Woo, Tae-Ryeon (부산대학교 사회환경시스템공학과)
Jung, Chi-Young ((주)제이원산업 기술연구소)
Kim, In-Tae (부산대학교 사회환경시스템공학과)
Lee, Jong-Han (인하대학교 사회인프라공학과)
Cheung, Jin-Hwan (부산대학교 사회환경시스템공학과)
Publication Information
Journal of the Korea institute for structural maintenance and inspection / v.24, no.4, 2020 , pp. 48-54 More about this Journal
Abstract
Cracks in reinforced concrete structures are the most common type of damage and are used as important analytical data to understand the fracture behavior characteristics of structures. Currently, there is a problem that most of the crack investigation relies on visual inspection, therefore many researchers have proposed image analysis techniques to improve the problem. In this study, we proposed a crack evaluation method to be applied at an indoor experimental level using image analysis method. The image analysis technique using color is for distinguishing a boundary surface between objects 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 the accuracy of image analysis, blue paint was applied to the concrete surface and bending experiments were performed. The image analysis method was able 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 deflection of the beam. Both the crack and deformation were able to confirm the accuracy similar to the existing measurement method, and it was found that the image analysis method was very excellent in terms of applicability.
Keywords
Image processing method; Crack width; Reinforced concrete; 3 point bending test;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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