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Title |
Cable Tension Measurement of Long-span Bridges Using Vision-based System
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Authors |
김성완(Sung-Wan Kim) ; 정진환(Jin-Hwan Cheung) ; 김성도(Seong-Do Kim) |
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DOI |
https://doi.org/10.11112/jksmi.2018.22.2.115 |
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Keywords |
장대교량 ; 케이블 장력 ; 영상처리기법 ; 영상계측시스템 Long-span bridge ; Cable tension ; Image processing technique ; Vision-based system |
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Abstract |
In a long-span bridge, the cables are important elements that support the load of the bridge. Accordingly, the cable tension is a very important variable in evaluating the health and safety of the bridge. The most popular methods of estimating the cable tensions are the direct method, which directly measures the cable stresses using load cells, hydraulic jacking devices, etc., and the vibration method, which inverses the tensions using the cable shapes and the measured dynamic characteristics. Studies on the use of the electromagnetic (EM) sensor, which detects the magnetic field variations caused by the change in the stress of the steel in the cable, are increasing. In this study, the lift-off test, the EM sensor, and the vibration method (Vision-based System and Accelerometer) were used to measure cable tension, and their results were compared and analyzed.
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