Neumann-Michell theory-based multi-objective optimization of hull form for a naval surface combatant |
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| Affiliation: | 1. Faculty of Marine Technology and Natural Sciences, Klaipeda university, Bijunu str.17, LT-91225 Lithuania, Europe;2. Open Access Centre for Marine Research, Klaipeda university, H. Manto str. 84, LT-92294, Lithuania, Europe;3. Department of Naval Architecture & Marine Engineering, University of Strathclyde, 100 Montrose str., G4oLZ, Scotland, UK;1. CNR-INSEAN, Natl. Research Council – Marine Technology Research Inst., Rome, Italy;2. Department of Engineering, Roma Tre University, Rome, Italy;3. Department of Management, Ca’ Foscari University of Venice, Venice, Italy;4. CNR-IASI, Natl. Research Council – Inst. for Systems Analysis and Computer Science, Rome, Italy;5. Department of Computer, Control, and Management Engineering “A. Ruberti”, Sapienza University of Rome, Rome, Italy;6. IIHR – Hydroscience and Engineering, The University of Iowa, Iowa City, IA, USA;1. School of Shipbuilding Engineering, Dalian University of Technology, China;2. Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, China;3. Liaoning Engineering Laboratory for Deep-Sea Floating Structures, China;4. Florida Institute of Technology, Melbourne, America;1. Key Laboratory of High Performance Ship Technology (Wuhan University of Technology), Ministry of Education, Wuhan, China;2. School of Transportation, Wuhan University of Technology, Wuhan, China |
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| Abstract: | A numerical multi-objective optimization procedure is proposed here to describe the development and application of a practical hydrodynamic optimization tool, OPTShip-SJTU. Three components including hull form modification module, hydrodynamic performance evaluation module and optimization module consist of this tool. The free-form deformation (FFD) method and shifting method are utilized as parametric hull surface modification techniques to generate a series of realistic hull forms subjected to geometric constraints, and the Neumann-Michell (NM) theory is implemented to predict the wave drag. Moreover, NSGA-II, a muti-objective genetic algorithm, is adopted to produce pareto-optimal front, and kriging model is used for predicting the total resistance during the optimization process to reduce the computational cost. Additionally, the analysis of variance (ANOVA) method is introduced to represent the influence of each design variable on the objective functions. In present work, a surface combatant DTMB Model 5415 is used as the initial design, and optimal solutions with obvious drag reductions at specific speeds are obtained. Eventually, three of optimal hulls are analyzed by NM theory and a RANS-based CFD solver naoe-FOAM-SJTU respectively. Numerical results confirm the availability and reliability of this multi-objective optimization tool. |
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| Keywords: | OPTShip-SJTU Multi-objective optimization NSGA-II algorithm Neumann-Michell theory Wave drag |
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