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
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.28 No.6
- 발행연도
- 2021.12
- 수록면
- 799 - 810 (12page)
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초록· 키워드
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When monitoring the structural integrity of a bridge using data collected through accelerometers, identifying the profile of the load exerted on the bridge from the vehicles passing over it becomes a crucial task. In this study, the speed and location of vehicles on the deck of a bridge is reconfigured using real-time video to implicitly associate the load applied to the bridge with the response from the bridge sensors to develop an image-based deep learning network model. Instead of directly measuring the load that a moving vehicle exerts on the bridge, the intention in the proposed method is to replace the correlation between the movement of vehicles from CCTV images and the corresponding response by the bridge with a neural network model. Given the framework of an input-output-based system identification, CCTV images secured from the bridge and the acceleration measurements from a cantilevered beam are combined during the process of training the neural network model. Since in reality, structural damage cannot be induced in a bridge, the focus of the study is on identifying local changes in parameters by adding mass to a cantilevered beam in the laboratory. The study successfully identified the change in the material parameters in the beam by using the deep-learning neural network model. Also, the method correctly predicted the acceleration response of the beam. The proposed approach can be extended to the structural health monitoring of actual bridges, and its sensitivity to damage can also be improved through optimization of the network training.
목차
등록된 정보가 없습니다.
참고문헌 (53)
참고문헌 신청
Yeun-Sub Byun / 2015 / Vehicle Position Estimation Based on Magnetic Markers: Enhanced Accuracy by Compensation of Time Delays / Sensors 15(11):28807~28825
Daniel Cantero / 2016 / Train–track–bridge modelling and review of parameters / Structure and Infrastructure Engineering 12(9):1051~1064
Daniel Cantero / 2017 / Evolution of bridge frequencies and modes of vibration during truck passage / Engineering Structures 152:452~464
Chang, M. / 2013 / Modified natural excitation technique for stochastic modal identification / Journal of Structural Engineering 139(10):1753~1762
Minwoo Chang / 2014 / Observer Kalman Filter Identification for Output-Only Systems Using Interactive Structural Modal Identification Toolsuite / Journal of Bridge Engineering 19(5):04014002
Daniel Cantero / 2016 / Train–track–bridge modelling and review of parameters / Structure and Infrastructure Engineering 12(9):1051~1064
Daniel Cantero / 2017 / Evolution of bridge frequencies and modes of vibration during truck passage / Engineering Structures 152:452~464
Chang, M. / 2013 / Modified natural excitation technique for stochastic modal identification / Journal of Structural Engineering 139(10):1753~1762
Minwoo Chang / 2014 / Observer Kalman Filter Identification for Output-Only Systems Using Interactive Structural Modal Identification Toolsuite / Journal of Bridge Engineering 19(5):04014002
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