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Title |
Development of Damage Evaluation Technology Considering Variability for Cable Damage Detection of Cable-Stayed Bridges
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Authors |
고병찬(Byeong-Chan Ko) ; 허광희(Gwang-Hee Heo) ; 박채린(Chae-Rin Park) ; 서영득(Young-Deuk Seo) ; 김충길(Chung-Gil Kim) |
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DOI |
https://doi.org/10.11112/jksmi.2020.24.6.77 |
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Keywords |
손상평가 기술; 통계적 패턴인식 기술; 변동성; SHM; 사장교 Damage Assessment Technology; Statistical Pattern Recognition Technology; Variability; SHM; Cable-Stayed Bridge |
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Abstract |
In this paper, we developed a damage evaluation technique that can determine the damage location of a long-sized structure such as a cable-stayed bridge, and verified the performance of the developed technique through experiments. The damage assessment method aims to extract data that can evaluate the damage of the structure without the undamage data and can determine the damage location only by analyzing the response data of the structure. To complete this goal, we developed a damage assessment technique that considers variability based on the IMD theory, which is a statistical pattern recognition technique, to identify the damage location. To complete this goal, we developed a damage assessment technique that considers variability based on the IMD theory, which is a statistical pattern recognition technique, to identify the damage location. To evaluate the performance of the developed technique experimentally, cable damage experiments were conducted on model cable-stayed bridges. As a result, the damage assessment method considering variability automatically outputs the damageless data according to external force, and it is confirmed that the performance of extracting information that can determine the damage location of the cable through the analysis of the outputted damageless data and the measured damage data is shown.
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