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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.28 No.1
- 발행연도
- 2021.1
- 수록면
- 55 - 67 (13page)
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초록· 키워드
오류제보하기
The falling offs of building decorative layers (BDLs) on exterior walls are quite common, especially in Asia, which presents great concerns to human safety and properties. Presently, there is no effective technique to detect the debonding of the exterior finish because debonding are hidden defect. In this study, the debonding defect identification method of building decoration layers via UAV-thermography and deep learning is proposed. Firstly, the temperature field characteristics of debonding defects are tested and analyzed, showing that it is feasible to identify the debonding of BDLs based on UAV. Then, a debonding defect recognition and quantification method combining CenterNet (Point Network) and fuzzy clustering is proposed. Further, the actual area of debonding defect is quantified through the optical imaging principle using the real-time measured distance. Finally, a case study of the old teaching-building inspection is carried out to demonstrate the effectiveness of the proposed method, showing that the proposed model performs well with an accuracy above 90%, which is valuable to the society.
목차
등록된 정보가 없습니다.
참고문헌 (13)
참고문헌 신청
Feng, L. / 2014 / Experimental Study on Inside Defects of Building Exterior Wall Decoration Layer by Infrared Thermal Imaging Method / J. Chongqing Jianzhu Univ. China 36(2):57~61
Soonkyu Hwang / 2020 / Remote Inspection of Internal Delamination in Wind Turbine Blades using Continuous Line Laser Scanning Thermography / International Journal of Precision Engineering and Manufacturing-Green Technology 7(3):699~712
Keunyoung Jang / 2019 / Deep learning–based autonomous concrete crack evaluation through hybrid image scanning / Structural Health Monitoring 18(5-6):1722~1737
Keunyoung Jang / 2021 / Automated crack evaluation of a high‐rise bridge pier using a ring‐type climbing robot / Computer-Aided Civil and Infrastructure Engineering 36(1):14~29
Olivier Janssens / 2018 / Deep Learning for Infrared Thermal Image Based Machine Health Monitoring / IEEE/ASME Transactions on Mechatronics 23(1):151~159
Soonkyu Hwang / 2020 / Remote Inspection of Internal Delamination in Wind Turbine Blades using Continuous Line Laser Scanning Thermography / International Journal of Precision Engineering and Manufacturing-Green Technology 7(3):699~712
Keunyoung Jang / 2019 / Deep learning–based autonomous concrete crack evaluation through hybrid image scanning / Structural Health Monitoring 18(5-6):1722~1737
Keunyoung Jang / 2021 / Automated crack evaluation of a high‐rise bridge pier using a ring‐type climbing robot / Computer-Aided Civil and Infrastructure Engineering 36(1):14~29
Olivier Janssens / 2018 / Deep Learning for Infrared Thermal Image Based Machine Health Monitoring / IEEE/ASME Transactions on Mechatronics 23(1):151~159
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