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An investigation into fishing boat optimisation using a hybrid algorithm

机译:基于混合算法的渔船优化研究

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The optimisation of high-speed fishing boats is different from the optimisation of other displacement type vessels as, for high-speed fishing boats, the wave-making resistance decreases while the splashed resistance increases sharply. To reduce fuel consumption and operating costs in the current economic climate, this paper presents a fishing boat optimisation approach using a Computational Fluid Dynamics (CFD) technique. The RANS-VoF solver was utilised to calculate total resistance, sinkage and trim for a fishing boat in calm water. The Arbitrary Shape Deformation (ASD) technique was used to smoothly alter the geometry. A hybrid algorithm was presented to solve the complicated nonlinear optimisation problem. Herein, a Design of Experiments (DoE) method was applied to find an optimal global region and a mathematical programme was employed to determine an optimal global solution. Under the same displacement with the original hull, two optimisation loops were built with different design variables. After completion of the optimisation, two optimal hull forms were obtained. The optimisation results show that the optimisation loop presented in this study can be used to design a suitable fishing boat in the reduction of the total resistance in calm water.
机译:高速渔船的优化不同于其他排水型船舶的优化,因为对于高速渔船,造波阻力减小,而飞溅阻力急剧增加。为了降低当前经济环境下的燃料消耗和运营成本,本文提出了一种使用计算流体动力学(CFD)技术的渔船优化方法。 RANS-VoF求解器用于计算在平静水中的渔船的总阻力,下沉和修整。任意形状变形(ASD)技术用于平滑更改几何形状。提出了一种混合算法来解决复杂的非线性优化问题。在此,采用实验设计(DoE)方法来找到最佳全局区域,并使用数学程序确定最佳全局解。在与原始船体相同的位移下,使用不同的设计变量构建了两个优化循环。优化完成后,获得了两种最佳的船体形式。优化结果表明,本研究中提出的优化回路可用于设计合适的渔船,以减少平静水中的总阻力。

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