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Math. Comput. Appl. 2017, 22(1), 4; doi:10.3390/mca22010004

Design Optimization of the Lines of the Bulbous Bow of a Hull Based on Parametric Modeling and Computational Fluid Dynamics Calculation

1
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China
2
Fujian Province Key Laboratory of Structural Performances in Ship and Ocean Engineering, Fuzhou 350116, China
*
Author to whom correspondence should be addressed.
Academic Editor: Fazal M. Mahomed
Received: 15 August 2016 / Revised: 17 December 2016 / Accepted: 23 December 2016 / Published: 16 January 2017
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Abstract

To reduce the ship wave-making resistance, the lines of the bulbous bow of a hull are optimized by an automatic optimization platform at the ship design stage. Parametric modeling was applied to the hull by using non-uniform rational basis spline (NURBS). The Rankine-source panel method was used to calculate the wave-making resistance. A hybrid optimization strategy was applied to achieve the optimization goal. A Ro-Ro ship was taken as an example to illustrate the optimization method adopted, with the objective to minimize the wave-making resistance. The optimization results show that wave-making resistance obviously reduces and the wave-shape of the near bow becomes gentle after the lines of the bulbous bow of the hull are optimized, which demonstrates the validity of the proposed optimization design strategy. View Full-Text
Keywords: hull forms optimization; parametric modeling; computational fluid dynamics calculation; wave-making resistance hull forms optimization; parametric modeling; computational fluid dynamics calculation; wave-making resistance
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Luo, W.; Lan, L. Design Optimization of the Lines of the Bulbous Bow of a Hull Based on Parametric Modeling and Computational Fluid Dynamics Calculation. Math. Comput. Appl. 2017, 22, 4.

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