Multiple speed integrated optimization design for a SWATH using SBD technique

  • Qijun Ni
  • Wenquan RuanEmail author
  • Shengzhong LiEmail author
  • Feng Zhao
Original article


Hull geometry modification and reconstruction, optimization algorithms and CFD technique are combined together into what is known as simulation-based design (SBD) techniques, and its essence is the hydrodynamic configuration design driven by global flow optimization. The purpose of this paper is to show how the improvement in the hydrodynamics performance of a Small Waterplane Area Twin Hull (SWATH) can be obtained by solving a shape optimization design problem at different speeds using the SBD technique. In this paper, an example of the technique application for the SWATH hull-form optimization at different speeds is demonstrated. In the procedure, the free-form deformation method is chosen to automatically modify the geometry of submerged pontoon, and the multi-objective particle swarm optimization (MOPSO) algorithm is adopted for exploring the design space. The two objectives functions, the total resistance at two different speeds (11 kn and 15 kn), are assessed by RANS solvers. The optimization results show that the decrease in total resistance is significant for the optimization case at two different speeds (11 kn and 15 kn), with a reduction of about 5.1% and 6.3%, respectively. Meanwhile, the displacement increases 3.7% and the transverse section of submerged pontoon becomes “flower vase” type from ellipse. Finally, dedicated experimental campaigns for optimized model have been carried out to validate the computations and establish the effects of the optimization processes. It shows that the computations of optimization scheme mainly fit the results of model test. The given, practical examples demonstrate the practicability and superiority of the proposed SBD technique for the SWATH multiple speed integrated optimization problem. In addition, the technique can also be applied to other fields of shape optimization design.


Hull-form design optimization SWATH SBD techniques MOPSO algorithm CFD 



This work has been supported by the National Natural Science Foundation of China, Grant no. 51479181.


  1. 1.
    Campana EF, Peri D, Tahara Y et al (2009) Numerical optimization methods for ship hydrodynamic design. In: SNAME annual meeting, Rhode Island, USA, 2009Google Scholar
  2. 2.
    Li SZ (2012) Research on hull form design optimization based on SBD technique. Doctoral Thesis, China Ship Scientific Research Center, Wuxi, ChinaGoogle Scholar
  3. 3.
    Yang C, Huang F (2016) An overview of simulation-based hydrodynamic design of ship hull forms. J Hydrodyn 28(6):947–960MathSciNetCrossRefGoogle Scholar
  4. 4.
    Han S, Lee YS, Choi YB (2012) Hydrodynamic hull form optimization using parametric models. J Mar Sci Technol 21(1):129–144Google Scholar
  5. 5.
    Kim HJ, Chun HH (2008) Optimizing using parametric modification functions and global optimization methods. In: 27th Symposium on naval hydrodynamics, Seoul, Korea, 2008Google Scholar
  6. 6.
    Kim H, Yang C, Chun HH (2010) A combined local and global hull form modification on approach for hydrodynamic optimization. In: 28th Symposium on naval hydrodynamics, Pasadena, California, 2010Google Scholar
  7. 7.
    Li SZ, Zhao F, Ni QJ (2014) Bow and stern shape integrated optimization for a full ship by SBD technique. J Ship Res 58(2):83–96CrossRefGoogle Scholar
  8. 8.
    Pellegrini R, Serani A, Leotardi C, Iemma U, Campana EF, Diez M (2017) Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization. Appl Soft Comput J 58:714–731CrossRefGoogle Scholar
  9. 9.
    Yang L, Li SZ, Zhao F, Ni QJ (2018) An integrated optimization design of a fishing ship hullform at different speeds. J Hydrodyn 30(6):1174–1181CrossRefGoogle Scholar
  10. 10.
    Shi WQ, Yu XZ (2012) The development and future trend of foreign SWATH ships. Ship Sci Technol 34(2):4–19Google Scholar
  11. 11.
    Zhong K, Zhang PY, Zheng M (2012) SWATH vessels development and future in Germany. Ship Sci Technol 34(2):20–34Google Scholar
  12. 12.
    Tahara Y, Peri D, Campana EF, Stern F (2008) Single and multiobjective design optimization of a fast multihull ship: numerical and experimental results. In: 27th Symposium on naval hydrodynamics, Seoul, Korea, 2008Google Scholar
  13. 13.
    Brizzolara S, Curtin T, Bovio M, Vernengo G (2012) Concept design and hydrodynamic optimization of an innovative SWATH USV by CFD methods. Ocean Dyn 62:227–237CrossRefGoogle Scholar
  14. 14.
    Diez M, Campana EF, Stern F (2015) Design-space dimensionality reduction in shape optimization by Karhunen–Loève expansion. Comput Methods Appl Mech Eng 283:1525–1544CrossRefzbMATHGoogle Scholar
  15. 15.
    Pellegrini R, Serani A, Broglia R, Diez M (2018) Resistance and payload optimization of a sea vehicle by adaptive multi-fidelity metamodeling. In: 2018 AIAA/ASCE/AHS/ASC structures, structural dynamics, and materials conference, Kissimmee, Florida, 2018Google Scholar
  16. 16.
    Li SZ, Zhao F, Ni QJ (2013) Multi-objective optimization for ship hull form design using SBD technique. Comput Model Eng Sci 92(2):123–149zbMATHGoogle Scholar
  17. 17.
    Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of the IEEE international conference on neural networks, 1995, IV, 1942–1948. IEEE Service Center, PiscatawayGoogle Scholar
  18. 18.
    Sederberg TW, Parry SR (1986) Free-form deformation of solid geometric models. SIGGRAPH’86 20(4):151–159Google Scholar
  19. 19.
    Peri D, Campana EF (2008) Variable fidelity and surrogate modeling in simulation-based design. In: 27th ONR Symposium on naval hydrodynamics, Seoul, Korea, 2008Google Scholar
  20. 20.
    Wu CS, Yang L, Zhang ZR, Zhao F, Yan K (2010) CFD simulation of ship model free to sinkage and trim advancing in calm water. In: Proceedings of Gothenburg 2010: a workshop on numerical ship hydrodynamics, Gothenburg, pp 435–440Google Scholar

Copyright information

© The Japan Society of Naval Architects and Ocean Engineers (JASNAOE) 2019

Authors and Affiliations

  1. 1.School of Environment and Civil EngineeringJiangnan UniversityWuxiChina
  2. 2.China Ship Scientific Research CenterWuxiChina

Personalised recommendations