지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.9
- 수록면
- 45 - 54 (10page)
- DOI
- 10.33519/kwea.2021.12.3.006
이용수
이 논문의 연구 히스토리 (4)
2022
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초록· 키워드
오류제보하기
Initial structural damage to a structure propagates and leads to failure. Detecting damage at an early stage is important to prevent failure. Recently, studies on measuring the displacement of a structure and predicting the strain field using digital image correlation (DIC) have been actively conducted. However, when the degree of damage is small or occurs in an area where stress is concentrated, it is difficult to identify it by visual inspection. Yet, it is impossible to process the real-time strain field data of large structures such as wind turbine blades, bridges, etc. In this paper, a novel real-time damage detection method using a class activation map (CAM) is developed. The CAM learns the relationship between strain field and structural damage location. After training is finished, the CAM is not only able to detect damage location from an untrained structural strain field, but also to print images of damage locations. The developed model predicts damage with 99.2 % accuracy.
목차
등록된 정보가 없습니다.
참고문헌 (11)
참고문헌 신청
Wang, F. / 2019 / Initial crack propagation and the influence factors of aircraft pipe pressure / Materials 12(19):3098
Yang, Y. / 2017 / -field, high-spatial-resolution detection of local structural damage from low-resolution random strain field measurements / Journal of Sound and Vibration 399:75~85
Fritzen, C. P. / 2005 / Vibration-based structural health monitoring–concepts and applications / Key Engineering Materials 293:3~20
Sierra-Pérez, J. / 2012 / Damage detection by using FBGs and strain field pattern recognition techniques / Smart materials and structures 22(2):025011
Hu, Y. / 2019 / Local damage detection of membranes based on Bayesian operational modal analysis and three-dimensional digital image correlation / Mechanical Systems and Signal Processing 131:633~648
Yang, Y. / 2017 / -field, high-spatial-resolution detection of local structural damage from low-resolution random strain field measurements / Journal of Sound and Vibration 399:75~85
Fritzen, C. P. / 2005 / Vibration-based structural health monitoring–concepts and applications / Key Engineering Materials 293:3~20
Sierra-Pérez, J. / 2012 / Damage detection by using FBGs and strain field pattern recognition techniques / Smart materials and structures 22(2):025011
Hu, Y. / 2019 / Local damage detection of membranes based on Bayesian operational modal analysis and three-dimensional digital image correlation / Mechanical Systems and Signal Processing 131:633~648
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