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Probabilistic and spectral modelling of dynamic wind effects of quayside container cranes

  • Su, Ning (Key Laboratory of Environmental Protection in Water Transport Engineering, Tianjin Research Institute for Water Transport Engineering, China Ministry of Transport) ;
  • Peng, Shitao (Key Laboratory of Environmental Protection in Water Transport Engineering, Tianjin Research Institute for Water Transport Engineering, China Ministry of Transport) ;
  • Hong, Ningning (Key Laboratory of Environmental Protection in Water Transport Engineering, Tianjin Research Institute for Water Transport Engineering, China Ministry of Transport) ;
  • Wu, Xiaotong (Key Laboratory of Environmental Protection in Water Transport Engineering, Tianjin Research Institute for Water Transport Engineering, China Ministry of Transport) ;
  • Chen, Yunyue (Key Laboratory of Environmental Protection in Water Transport Engineering, Tianjin Research Institute for Water Transport Engineering, China Ministry of Transport)
  • Received : 2019.01.29
  • Accepted : 2019.05.09
  • Published : 2020.04.25

Abstract

Quayside container cranes are important delivery machineries located in the most frontiers of container terminals, where strong wind attacks happen occasionally. Since the previous researches on quayside container cranes mainly focused on the mean wind load and static response characteristics, the fluctuating wind load and dynamic response characteristics require further investigations. In the present study, the aerodynamic wind loads on quayside container cranes were obtained from wind tunnel tests. The probabilistic and spectral models of the fluctuating aerodynamic loads were established. Then the joint probabilistic distributions of dynamic wind-induced responses were derived theoretically based on a series of Gaussian and independent assumption of resonant components. Finally, the results were validated by time domain analysis using wind tunnel data. It is concluded that the assumptions are acceptable. And the presented approach can estimate peak dynamic sliding force, overturning moments and leg uplifts of quayside container cranes effectively and efficiently.

Acknowledgement

Supported by : Tianjin Municipal Natural Science Foundation, Central Public Welfare Research Institutes

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