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 Hamid Kazemi,M. Mehdi Doustdar,Amin Najafi,et al.Hydrodynamic Performance Prediction of Stepped Planing Craft Using CFD and ANNs[J].Journal of Marine Science and Application,2021,(1):67-84.[doi:10.1007/s11804-020-00182-y]
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Hydrodynamic Performance Prediction of Stepped Planing Craft Using CFD and ANNs


Hydrodynamic Performance Prediction of Stepped Planing Craft Using CFD and ANNs
Hamid Kazemi1 M. Mehdi Doustdar1 Amin Najafi1 Hashem Nowruzi2 M. Javad Ameri1
Hamid Kazemi1 M. Mehdi Doustdar1 Amin Najafi1 Hashem Nowruzi2 M. Javad Ameri1
1. Mechanical Engineering Department, Imam Hossein University, Tehran, Iran;
2. Department of Mechanical Engineering, Babol Noshirvani University of Technology, Babol, Iran
Stepped planing craftHydrodynamic performanceArtificial neural network(ANN)Computational fluid dynamics (CFD)Resistance
In the present paper, the hydrodynamic performance of stepped planing craft is investigated by computational fluid dynamics (CFD) analysis. For 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, Iran. Then, 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 ratio. So that, using steps for planing craft increases the resistance to weight ratio at lower Fr and decreases it at higher Fr. Additionally, by the increase of the distance between two steps, the resistance to weight ratio is decreased and the porpoising phenomenon is delayed. Furthermore, we obtained the maximum mean square error of ANNs output in the prediction of resistance to weight ratio equal to 0.0027. Finally, the predictive equation is suggested for the resistance to weight ratio of stepped planing craft according to weights and bias of designed ANNs.


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Received date:2019-06-20;Accepted date:2020-08-25。
Corresponding author:Hashem Nowruzi, h.nowruzi@aut.ac.ir
Last Update: 2021-06-10