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http://dx.doi.org/10.14190/JRCR.2022.10.4.593

Evaluation of Crack Monitoring Field Application of Self-healing Concrete Water Tank Using Image Processing Techniques  

Sang-Hyuk, Oh (Research & Development Center, DOT CO., Ltd.)
Dae-Joong, Moon (Research & Development Center, DOT CO., Ltd.)
Publication Information
Journal of the Korean Recycled Construction Resources Institute / v.10, no.4, 2022 , pp. 593-599 More about this Journal
Abstract
In this study, a crack monitoring system capable of detecting cracks based on image processing techniques was developed to effectively check cracks, which are the main damage of concrete structures, and a program capable of imaging and analyzing cracks was developed using machine vision. This system provides objective and quantitative data by replacing the appearance inspection that checks cracks with the naked eye. The verification of the development system was applied to the construction site of a self-healing concrete water tank to monitor the crack and the amount of change in the crack width according to age. In the case of crack width detected by image analysis, the difference from the measured value using a digital microscope was up to 0.036 mm, and the crack healing effect of self-healing concrete could be confirmed through the reduction of crack width.
Keywords
Crack monitoring system; Image processing; Self healing concrete; Crack detection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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