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Research on bulbous bow optimization based on the improved PSO algorithm

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In 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.

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The study in this paper was carried out as a part of the research project: Research on Hull Form Optimization Design of Minimum Resistance Which was based on the Rankine Source Method and The Optimization Research of the Ship Hydrodynamic Performance based on SBD technique.

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Correspondence to Sheng-long Zhang.

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Foundation item: The study was financially supported by the National Natural Science Foundation of China (Grant No. 51009087), and the National Science Foundation of Shanghai (Grant No. 14ZR1419500).

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Zhang, Sl., Zhang, Bj., Tezdogan, T. et al. Research on bulbous bow optimization based on the improved PSO algorithm. China Ocean Eng 31, 487–494 (2017).

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