Hydrodynamic Performance Prediction of Stepped Planing Craft Using CFD and ANNs

作     者：Hamid Kazemi M.Mehdi Doustdar Amin Najafi Hashem Nowruzi M.Javad Ameri Hamid Kazemi;M.Mehdi Doustdar;Amin Najafi;Hashem Nowruzi;M.Javad Ameri

作者机构：Mechanical Engineering DepartmentImam Hossein UniversityTehranIran Department of Mechanical EngineeringBabol Noshirvani University of TechnologyBabolIran 

出 版 物：《Journal of Marine Science and Application》 (船舶与海洋工程学报（英文版）)

年 卷 期：2021年第20卷第1期

页      面：67-84页

核心收录：

学科分类：08[工学] 0824[工学-船舶与海洋工程] 082401[工学-船舶与海洋结构物设计制造] 

主　　题：Stepped planing craft Hydrodynamic performance Artificial neural network(ANN) Computational fluid dynamics(CFD) Resistance 

摘      要：In the present paper,the hydrodynamic performance of stepped planing craft is investigated by computational fluid dynamics(CFD)*** this purpose,the hydrodynamic resistances of without step,one-step,and two-step hulls of Cougar planing craft are evaluated under different distances of the second step and LCG from aft,weight loadings,and Froude numbers(Fr).Our CFD results are appropriately validated against our conducted experimental test in National Iranians Marine Laboratory(NIMALA),Tehran,***,the hydrodynamic resistance of intended planing crafts under various geometrical and physical conditions is predicted using artificial neural networks(ANNs).CFD analysis shows two different trends in the growth rate of resistance to weight *** that,using steps for planing craft increases the resistance to weight ratio at lower Fr and decreases it at higher ***,by the increase of the distance between two steps,the resistance to weight ratio is decreased and the porpoising phenomenon is ***,we obtained the maximum mean square error of ANNs output in the prediction of resistance to weight ratio equal to ***,the predictive equation is suggested for the resistance to weight ratio of stepped planing craft according to weights and bias of designed ANNs.