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Multi-objective optimisation of ship resistance performance based on CFD

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Abstract

Combining an optimisation algorithm with computational fluid dynamics (CFD) technology to achieve automatic multi-scheme selection of hull lines is of considerable significance for the research and development of energy-saving ships. Parametric modification technology for the hull form is a key issue for achieving this target. The traditional parametric modification method has the disadvantage of many parameters and high computational load. This paper proposes a new ship surface modification method that combines two different techniques based on the modification and morphing functions. Using the proposed method, a hull optimisation tool is developed with CFD and a multi-objective genetic algorithm. To verify the validity of the method, optimisation of the bow of a 1300TEU container ship is performed, and the optimised hull is obtained at multi-velocity. The numerical results indicate that the proposed parametric modification method is effective in realising local and global modification of the hull form. The hull optimisation platform developed is practical for engineering applications.

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Acknowledgements

The author is gratefully thankful to the research team members and the Support of National Natural Science Foundation of China (Nos. 51279147, 51179143, 51479150, and 51709213).

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Authors and Affiliations

  1. Key Laboratory of High Performance Ship Technology (Wuhan University of Technology), Ministry of Education, Wuhan, People’s Republic of China

    Xide Cheng, Baiwei Feng & Chengsheng Zhan

  2. School of Transportation, Wuhan University of Technology, Wuhan, People’s Republic of China

    Xide Cheng, Haichao Chang & Zuyuan Liu

Authors
  1. Xide Cheng
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  2. Baiwei Feng
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  3. Haichao Chang
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  4. Zuyuan Liu
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  5. Chengsheng Zhan
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Correspondence to Baiwei Feng.

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Cheng, X., Feng, B., Chang, H. et al. Multi-objective optimisation of ship resistance performance based on CFD. J Mar Sci Technol 24, 152–165 (2019). https://doi.org/10.1007/s00773-018-0543-5

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  • DOI: https://doi.org/10.1007/s00773-018-0543-5

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