Research on bulbous bow optimization based on the improved PSO algorithm

Tools

Zhang, Sheng-Long and Zhang, Bao-Ji and Tezdogan, Tahsin and Xu, Le-Ping and Lai, Yu-Yang (2017) Research on bulbous bow optimization based on the improved PSO algorithm. China Ocean Engineering, 31 (4). pp. 487-494. ISSN 0890-5487

[thumbnail of Zhang-etal-COE-2017-Research-on-bulbous-bow-optimization-based-on-the-improved]
Preview
 Text. Filename: Zhang_etal_COE_2017_Research_on_bulbous_bow_optimization_based_on_the_improved.pdf
Accepted Author Manuscript
Download (1MB)| Preview

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.

ORCID iDs

Zhang, Sheng-Long, Zhang, Bao-Ji, Tezdogan, Tahsin ORCID logoORCID: https://orcid.org/0000-0002-7032-3038, Xu, Le-Ping and Lai, Yu-Yang;
CORE (COnnecting REpositories)