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이미지 처리 기법을 이용한 자기치유 보수 모르타르 시공표면의 균열 모니터링 시스템 개발

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

  • 오상혁 ((주)디오티 기업부설연구소) ;
  • 문대중 ((주)디오티 기업부설연구소) ;
  • 이광명 (성균관대학교 건설환경시스템공학과)
  • 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)
  • 투고 : 2021.08.18
  • 심사 : 2021.09.12
  • 발행 : 2021.09.30

초록

본 연구에서는 자기 치유 콘크리트의 주요 손상인 균열을 측정하고 이를 DB화 하기 위한 이미지 처리 기법 기반의 균열 모니터링 자동화 시스템 개발의 일환으로 균열 촬영 장비를 제작하고 균열 검출 및 분석이 가능한 프로그램을 개발하였다. 본 시스템은 기존의 육안으로 균열을 점검하는 외관조사를 대체하여 객관적이고 정량적인 데이터를 제공한다. 개발 시스템의 검증은 가상균열을 이용한 실내시험을 통해 균열 검출 알고리즘을 검증하였으며 자기치유 보수 모르타르 시공 현장에 적용하여 균열 검출 및 균열폭의 변화량을 모니터링하였다. 이미지 분석을 통해 검출된 균열폭의 경우 실측 균열폭과의 차이가 최대 0.0334mm로 나타났으며, 현장적용 결과 0.1mm 이하의 미세 균열 검출까지 가능하였으며 자기치유 보수 모르타르의 시간 경과에 따른 균열치유 효과를 균열폭 감소를 통해 확인할 수 있었다.

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.

키워드

과제정보

본 연구는 국토교통부/국토교통과학기술진흥원의 지원으로 수행되었음(과제번호 21SCIP-C159065-02).

참고문헌

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