Research on bulbous bow optimization based on the improved PSO algorithm

Sheng-Long Zhang, Bao-Ji Zhang, Tahsin Tezdogan, Le-Ping Xu, Yu-Yang Lai

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

On order to reduce the total resistance of a hull, an optimization framework for the bulbous bow optimization was presented. The total resistance in calm water was selected as the objective function, and the overset mesh technique was used for mesh generation. RANS method was used to calculate the total resistance of the hull. In order to improve the efficiency and smoothness of the geometric reconstruction, the arbitrary shape deformation (ASD) technique was introduced to change the shape of the bulbous bow. To improve the global search ability of the particle swarm optimization (PSO) algorithm, an improved particle swarm optimization (IPSO) algorithm was proposed to set up the optimization model. After a series of optimization analyses, the optimal hull form was found. It can be concluded that the simulation based design framework built in this paper is a promising method for bulbous bow optimization.
LanguageEnglish
Pages487-494
Number of pages11
JournalChina Ocean Engineering
Volume31
Issue number4
Publication statusPublished - 14 Aug 2017

Fingerprint

Particle swarm optimization (PSO)
hull
Mesh generation
particle
Water
simulation

Keywords

  • bulbous bow
  • overset grid
  • RANS method
  • ASD technique
  • IPSO algorithm

Cite this

Zhang, S-L., Zhang, B-J., Tezdogan, T., Xu, L-P., & Lai, Y-Y. (2017). Research on bulbous bow optimization based on the improved PSO algorithm. China Ocean Engineering, 31(4), 487-494.
Zhang, Sheng-Long ; Zhang, Bao-Ji ; Tezdogan, Tahsin ; Xu, Le-Ping ; Lai, Yu-Yang. / Research on bulbous bow optimization based on the improved PSO algorithm. In: China Ocean Engineering. 2017 ; Vol. 31, No. 4. pp. 487-494.
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Zhang, S-L, Zhang, B-J, Tezdogan, T, Xu, L-P & Lai, Y-Y 2017, 'Research on bulbous bow optimization based on the improved PSO algorithm' China Ocean Engineering, vol. 31, no. 4, pp. 487-494.

Research on bulbous bow optimization based on the improved PSO algorithm. / Zhang, Sheng-Long; Zhang, Bao-Ji; Tezdogan, Tahsin; Xu, Le-Ping; Lai, Yu-Yang.

In: China Ocean Engineering, Vol. 31, No. 4, 14.08.2017, p. 487-494.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Research on bulbous bow optimization based on the improved PSO algorithm

AU - Zhang, Sheng-Long

AU - Zhang, Bao-Ji

AU - Tezdogan, Tahsin

AU - Xu, Le-Ping

AU - Lai, Yu-Yang

PY - 2017/8/14

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AB - On order to reduce the total resistance of a hull, an optimization framework for the bulbous bow optimization was presented. The total resistance in calm water was selected as the objective function, and the overset mesh technique was used for mesh generation. RANS method was used to calculate the total resistance of the hull. In order to improve the efficiency and smoothness of the geometric reconstruction, the arbitrary shape deformation (ASD) technique was introduced to change the shape of the bulbous bow. To improve the global search ability of the particle swarm optimization (PSO) algorithm, an improved particle swarm optimization (IPSO) algorithm was proposed to set up the optimization model. After a series of optimization analyses, the optimal hull form was found. It can be concluded that the simulation based design framework built in this paper is a promising method for bulbous bow optimization.

KW - bulbous bow

KW - overset grid

KW - RANS method

KW - ASD technique

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UR - https://link.springer.com/journal/volumesAndIssues/13344

UR - https://link.springer.com/article/10.1007/s13344-017-0055-9

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