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A Prediction Method of Internal Solitary Wave Loads on the Semi-Submersible Platform

A Prediction Method of Internal Solitary Wave Loads on the Semi-Submersible Platform

作     者:ZHANG Jing-jing CHEN Ke YOU Yun-xiang HAN Pan-pan ZHANG Jing-jing;CHEN Ke;YOU Yun-xiang;HAN Pan-pan

作者机构:State Key Laboratory of Ocean EngineeringShanghai Jiao Tong UniversityShanghai 200240China School of Naval ArchitectureOcean and Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China 

出 版 物:《China Ocean Engineering》 (中国海洋工程(英文版))

年 卷 期:2022年第36卷第3期

页      面:464-473页

核心收录:

学科分类:08[工学] 0818[工学-地质资源与地质工程] 0824[工学-船舶与海洋工程] 0813[工学-建筑学] 0714[理学-统计学(可授理学、经济学学位)] 0814[工学-土木工程] 082401[工学-船舶与海洋结构物设计制造] 0701[理学-数学] 

基  金:This study was financially supported by the National Natural Science Foundation of China(Grant Nos.11802176 and 11802301). 

主  题:semi-submersible platform Morison equation model test ISWs coefficients 

摘      要:An investigation into the prediction method for internal solitary waves(ISWs)loads on the columns and caissons of the semi-submersible platform found on three kinds of internal solitary wave theories and the modified Morison Equation is described.The characteristics of loads exerted on the semi-submersible platform model caused by the ISWs have been observed experimentally,and the inertial and drag coefficients in Morison Equation are determined by analyzing the forces of experiments.From the results,it is of interest to find that Reynolds number,KC number and layer thickness ratio have a considerable influence on the coefficients.The direction of incoming waves,how-ever,is almost devoid of effects on the coefficients.The drag coefficient of columns varies as an exponential function of Reynolds number,and inertia coefficient of columns is a power function related to KC number.Meanwhile,the drag coefficient of caissons is approximately constant in terms of regression analysis of experimental data.The results from different experimental conditions reveal that the inertia coefficient of caissons appears to be exponential correlated with upper layer depths.

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