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Hydrodynamic optimization of ship’s hull-propeller system under multiple operating conditions using MOEA/D

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Abstract

The aim of this paper is to develop a software, namely HPS-MOP, based on the multi-level and multi-point hydrodynamic optimization of hull-propeller systems during early-stage ship design. An efficient multi-objective evolutionary algorithm is used as the optimization technique to minimize the effective power and maximize the propulsive efficiency with considering some design constraints. Michell’s integral and lifting line theory are, respectively, employed for the hydrodynamic analysis of hulls and propellers in the first-level optimization. At the second level, the boundary element method is applied as a strong tool to predict the hydrodynamic performance of hulls and propellers. The ship added resistance in head waves is estimated using a fast and satisfactory semi-empirical formula. The effectiveness of the approach is illustrated by comparing the optimized results with initial ones in the optimization of series 60 hull form with DTMB P4118 single propeller and S175 hull form with KP505 twin-propeller as the original models.

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References

  1. Campana EF, Peri D, Tahara Y, Stern F (2006) Shape optimization in ship hydrodynamics using computational fluid dynamics. Comput Methods Appl Mech Eng 196(1):634–651

    Article  Google Scholar 

  2. Zakerdoost H, Ghassemi H, Ghiasi M (2013) Ship hull form optimization by evolutionary algorithm in order to diminish the drag. J Mar Sci Appl 12(2):170–179

    Article  Google Scholar 

  3. Vernengo G, Brizzolara S, Bruzzone D (2015) Resistance and seakeeping optimization of a fast multihull passenger ferry. Int J Offshore Polar Eng 25(01):26–34

    Google Scholar 

  4. Grigoropoulos G, Campana E, Diez M, Serani A, Goren O, Sariöz K, Danişman D, Visonneau M, Queutey P, Abdel-Maksoud M, Stern F (2017) Mission-based hull-form and propeller optimization of a transom stern destroyer for best performance in the sea environment. In: Proceedings of the VII international congress on computational methods in marine engineering (MARINE'17); May 2017; Nantes, France

  5. Yu J-W, Lee C-M, Lee I, Choi J-E (2017) Bow hull-form optimization in waves of a 66,000 DWT bulk carrier. Int J Nav Archit Ocean Eng 9(5):499–508

    Article  Google Scholar 

  6. Diez M, Campana EF, Stern F (2018) Stochastic optimization methods for ship resistance and operational efficiency via CFD. Struct Multidiscip Optim 57(2):735–758

    Article  MathSciNet  Google Scholar 

  7. Kuiper G (2010) New developments and propeller design. J Hydrodyn Ser B 22(5):7–16

    Article  Google Scholar 

  8. Xie G (2011) Optimal preliminary propeller design based on multi-objective optimization approach. Procedia Eng 16:278–283

    Article  Google Scholar 

  9. Mirjalili S, Lewis A, Mirjalili SAM (2015) Multi-objective optimisation of marine propellers. Procedia Comput Sci 51:2247–2256

    Article  Google Scholar 

  10. Kamarlouei M, Ghassemi H, Aslansefat K, Nematy D (2014) Multi-objective evolutionary optimization technique applied to propeller design. Acta Polytech Hung 11(9):163–182

    Google Scholar 

  11. Nelson M, Temple D, Hwang J, Young Y, Martins J, Collette M (2013) Simultaneous optimization of propeller–hull systems to minimize lifetime fuel consumption. Appl Ocean Res 43:46–52

    Article  Google Scholar 

  12. Ghassemi H, Zakerdoost H (2017) Ship hull–propeller system optimization based on the multi-objective evolutionary algorithm. Proc Inst Mech Eng Part C J Mech Eng Sci 231(1):175–192

    Article  Google Scholar 

  13. Kim Y, Kim K-H (2007) Numerical stability of Rankine panel method for steady ship waves. Ships Offshore Struct 2(4):299–306

    Article  Google Scholar 

  14. Xu H-F, Zou Z-J, Wu S-W, Liu X-Y, Zou L (2017) Bank effects on ship–ship hydrodynamic interaction in shallow water based on high-order panel method. Ships Offshore Struct 12(6):843–861

    Article  Google Scholar 

  15. Michell JH (1898) The wave resistance of a ship. Philos Mag 45:106–123

    Article  Google Scholar 

  16. Epps BP, Kimball RW (2013) Unified rotor lifting line theory. J Ship Res 57(4):181–201

    Article  Google Scholar 

  17. Wrench J Jr (1957) The calculation of propeller induction factors AML problem 69-54. David Taylor Model Basin, Washington DC

    Book  Google Scholar 

  18. Ghassemi H, Ghadimi P (2008) Computational hydrodynamic analysis of the propeller–rudder and the AZIPOD systems. Ocean Eng 35(1):117–130

    Article  Google Scholar 

  19. Ghassemi H, Kohansal A (2010) Hydrodynamic analysis of non-planing and planing hulls by BEM. Sci Iran Trans B Mech Eng 17(1):25–41

    MATH  Google Scholar 

  20. Van Manen J, Van Oossanen P (1988) Principles of naval architecture, vol 2. The Society of Naval Architects and Marine Engineers, New Jersey

    Google Scholar 

  21. Strom-Tejsen J, Hugh YHY, Moran DD (1973) Added resistance in waves. SNAME Trans 81:250–279

    Google Scholar 

  22. Liu S, Papanikolaou A (2016) Fast approach to the estimation of the added resistance of ships in head waves. Ocean Eng 112:211–225

    Article  Google Scholar 

  23. Carlton J (2012) Marine propellers and propulsion. Butterworth-Heinemann, Oxford

    Google Scholar 

  24. Zhang Q, Li H (2007) MOEA/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans Evol Comput 11(6):712–731

    Article  Google Scholar 

  25. Zhang Q, Liu W, Li H (2009) The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances. Proceedings in IEEE Congress of Evolutionary Computation (CEC 2009); May 18th-21st 2009; Trondheim, Norway. IEEE

  26. Yuen TJ, Ramli R (2010) Comparision of computational efficiency of MOEA\D and NSGA-II for passive vehicle suspension optimization. ECMS 2010:219–225

    Article  Google Scholar 

  27. Zhang Q-B, Feng Z-W, Liu Z-M, Yang T (2009) Fuel-time multiobjective optimal control of flexible structures based on MOEA/D. J Natl Univ Def Technol 6:015

    Google Scholar 

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Acknowledgements

The HPS-MOP software is prepared by MATLAB language. The computational results presented in this paper have been performed on the parallel machines of the high-performance computing research center (HPCRC) of Amirkabir University of Technology (AUT). Their supports are gratefully acknowledged.

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The author(s) received no financial support for the research, authorship, and/or publication of this article.

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Authors and Affiliations

  1. Department of Maritime Engineering, Amirkabir University of Technology, Tehran, Iran

    Hassan Zakerdoost & Hassan Ghassemi

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  1. Hassan Zakerdoost
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  2. Hassan Ghassemi
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Correspondence to Hassan Zakerdoost.

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Zakerdoost, H., Ghassemi, H. Hydrodynamic optimization of ship’s hull-propeller system under multiple operating conditions using MOEA/D. J Mar Sci Technol 26, 419–431 (2021). https://doi.org/10.1007/s00773-020-00747-0

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  • DOI: https://doi.org/10.1007/s00773-020-00747-0

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