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http://dx.doi.org/10.12989/was.2020.30.4.405

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)
Publication Information
Wind and Structures / v.30, no.4, 2020 , pp. 405-421 More about this Journal
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.
Keywords
quayside container crane; probabilistic distribution; spectral model; wind tunnel tests; wind-induced response;
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