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作 者:BAI Xiao-dong GUO Wei-wei YANG Can LUO Han-bing
机构地区:[1]State Key Laboratory of Hydraulic Engineering Simulation and Safety,Tianjin University,Tianjin 300072,China [2]Department of Naval Architecture and Ocean Engineering,Tianjin University,Tianjin 300072,China [3]China Water Resources Bei Fang Investigation,Design and Research CO.LTD,Tianjin 300222,China [4]College of Shipbuilding Engineering,Harbin Engineering University,Harbin 150001,China
出 处:《China Ocean Engineering》2021年第3期332-343,共12页中国海洋工程(英文版)
基 金:financially supported by the China Postdoctoral Science Foundation(Grant No.2019M661024];the Open Foundation of State Key Laboratory of Coastal and Offshore Engineering(Grant No.LP1901)。
摘 要:The fish cage design requires accurate predictions of long-term extreme loads and responses.Compared with the time-consuming full long-term analysis method integrating all the probability distribution of the short-term extremes,the environmental contour method gains much attention in predicting the long-term extreme values due to the less computational effort.This paper investigates the long-term extreme response of a fish cage using the environmental contour method.The fish cage is numerically simulated based on the lumped-mass method and the curved beam theory.Based on the one-dimensional(1D)and two-dimensional(2D)environmental contour,the extreme responses,including the surge and heave motions,mooring force,and vertical bending of the floater,are predicted for different return periods and compared with the full long-term analysis results.Results indicate that the 1D method greatly underestimates the extreme values.The 2D environmental contour method with a higher percentile level,namely90%,provides reasonable estimations and seems to be suitable for the long-term value analysis.Sensitivity studies show that the mooring arrangement and the bending stiffness have great effects on the bending moment and the mooring force and the mooring line pre-tension has minor effects on the fish cage response.
关 键 词:fish cage long-term extreme value environmental contour method sensitivity analysis
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