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Journal of the Korea Concrete Institute

J Korea Inst. Struct. Maint. Insp.
  • Indexed by
  • Korea Citation Index (KCI)
Title Optimization of Sensor Location for Real-Time Damage assessment of Cable in the cable-Stayed Bridge
Authors 방건혁(Geon-Hyeok Bang) ; 허광희(Gwang-Hee Heo) ; 이재훈(Jae-Hoon Lee) ; 이유재(Yu-Jae Lee)
DOI https://doi.org/10.11112/jksmi.2023.27.6.172
Page pp.172-181
ISSN 2234-6937
Keywords 실시간 손상평가; 최적 운동에너지 기술; 마할라노비스 거리 이론; 사장교 Real-time damage assessment; Kinetic energy optimization techniques; Mahalanobis distance theory; Cable-stayed bridges
Abstract In this study, real-time damage evaluation of cable-stayed bridges was conducted for cable damage. ICP type acceleration sensors were used for real-time damage assessment of cable-stayed bridges, and Kinetic Energy Optimization Techniques (KEOT) were used to select the optimal conditions for the location and quantity of the sensors. When a structure vibrates by an external force, KEOT measures the value of the maximum deformation energy to determine the optimal measurement position and the quantity of sensors. The damage conditions in this study were limited to cable breakage, and cable damage was caused by dividing the cable-stayed bridge into four sections. Through FE structural analysis, a virtual model similar to the actual model was created in the real-time damage evaluation method of cable. After applying random oscillation waves to the generated virtual model and model structure, cable damage to the model structure was caused. The two data were compared by defining the response output from the virtual model as a corruption-free response and the response measured from the real model as a corruption-free data. The degree of damage was evaluated by applying the data of the damaged cable-stayed bridge to the Improved Mahalanobis Distance (IMD) theory from the data of the intact cable-stayed bridge. As a result of evaluating damage with IMD theory, it was identified as a useful damage evaluation technology that can properly find damage by section in real time and apply it to real-time monitoring.