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 journalArticlepeer-review

12 Citations (Scopus)
35 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)487-494
Number of pages11
JournalChina Ocean Engineering
Issue number4
Publication statusPublished - 14 Aug 2017


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


Dive into the research topics of 'Research on bulbous bow optimization based on the improved PSO algorithm'. Together they form a unique fingerprint.
  • Shenglong Zhang

    Tahsin Tezdogan (Host)

    9 Jan 20179 Jul 2017

    Activity: Hosting a visitor typesHosting an academic visitor

Cite this