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 Structural Engineering and Mechanics, An Int'l Journal Structural Engineering and Mechanics, An Int'l Journal Vol.79 No.5
- 발행연도
- 2021.9
- 수록면
- 619 - 639 (21page)
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초록· 키워드
오류제보하기
The frequency-based method is the most commonly used method for measuring cable tension. However, the calculation formulas for the conventional frequency-based method are generally based on the ideally hinged or fixed boundary conditions without a comprehensive consideration of the inclination angle, sag-extensibility, and flexural stiffness of cables, leading to a significant error in cable tension identification. This study aimed to propose a frequency-based method of cable tension identification considering the complex boundary conditions at the two ends of cables using the particle swarm optimization (PSO) algorithm. First, the refined stay cable model was established considering the inclination angle, flexural stiffness, and sag-extensibility, as well as the rotational constraint stiffness and lateral support stiffness for the unknown boundaries of cables. The vibration mode equation of the stay cable model was discretized and solved using the finite difference method. Then, a multiparameter identification method based on the PSO algorithm was proposed. This method was able to identify the tension, flexural stiffness, axial stiffness, boundary rotational constraint stiffness, and boundary lateral support stiffness according to the measured multiorder frequencies in a synchronous manner. The feasibility and accuracy of this method were validated through numerical cases. Finally, the proposed approach was applied to the tension identification of the anchor span strands of a suspension bridge (Jindong Bridge) in China. The results of cable tension identification using the proposed method and the existing methods discussed in previous studies were compared with the on-site pressure ring measurement results. The comparison showed that the proposed approach had a high accuracy in cable tension identification. Moreover, the synchronous identification of the flexural stiffness, axial stiffness, boundary rotational constraint stiffness, and boundary lateral support stiffness was highly beneficial in improving the results of cable tension identification.
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등록된 정보가 없습니다.
참고문헌 (37)
참고문헌 신청
Casas, J. R. / 1994 / A combined method for measuring cable forces : The cable-stayed Alamillo Bridge, Spain / Struct. Eng. Int 4(4):235~240
Chen, C. C. / 2018 / A novel tension estimation approach for elastic cables by elimination of complex boundary condition effects employing mode shape functions / Eng. Struct 166:152~166
Chien-Chou Chen / 2013 / Determination of stay cable force based on effective vibration length accurately estimated from multiple measurements / Smart Structures and Systems, An International Journal 11(4):411~433
Chen, C. C. / 2016 / Tension determination of stay cable or external tendon with complicated constraints using multiple vibration measurements / Measure 86:182~195
Clerc, M. / 1999 / The swarm and the queen : towards a deterministic and adaptive particle swarm optimization / Proceedings of the 1999 Congress on Evolutionary Computation(CEC99)
Chen, C. C. / 2018 / A novel tension estimation approach for elastic cables by elimination of complex boundary condition effects employing mode shape functions / Eng. Struct 166:152~166
Chien-Chou Chen / 2013 / Determination of stay cable force based on effective vibration length accurately estimated from multiple measurements / Smart Structures and Systems, An International Journal 11(4):411~433
Chen, C. C. / 2016 / Tension determination of stay cable or external tendon with complicated constraints using multiple vibration measurements / Measure 86:182~195
Clerc, M. / 1999 / The swarm and the queen : towards a deterministic and adaptive particle swarm optimization / Proceedings of the 1999 Congress on Evolutionary Computation(CEC99)
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