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http://dx.doi.org/10.14190/JRCR.2021.9.3.359

Development of Crack Monitoring System for Self-healing Repair Mortar Surface Using Image Processing Technique  

Oh, Sang-Hyuk (Research & Development Center, DOT CO., Ltd.)
Moon, Dae-Jung (Research & Development Center, DOT CO., Ltd.)
Lee, Kwang-Myong (Dept. of Civil, Architectural and Environmental System Engineering, Sungkyunkwan University)
Publication Information
Journal of the Korean Recycled Construction Resources Institute / v.9, no.3, 2021 , pp. 359-366 More about this Journal
Abstract
In this study, It was developed an monitoring cracks system based on image processing techniques in order to measure cracks, which are major damages in concrete, and to convert them into a database. The crack monitoring system consists of crack image captured equipment and a crack detection and analysis software. This system provides objective and quantitative data by replacing the conventional visual inspection. The crack detection algorithm w as verified through an indoor test using virtual cracks, and the amount of crack detection and crack width change was monitored by applying it to the self-healing repair mortar construction site. In the case of the crack width detected through image analysis, the maximum difference from the actual crack width was 0.0334mm. It was possible to detect microcracks of 0.1mm or less, and the effect of crack healing over time of the self-healing repair mortar was confirmed trough the field test.
Keywords
Crack monitoring system; Image processing; Self healing repair mortar; Visual Inspection;
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