An optimization framework using genetic algorithms has been developed towards an automated parametric optimization of the Octabuoy semi-submersible design. Compared with deep draft production units, the design of the shallow draught Octabuoy semi-submersible provides a floating system with improved motion characteristics, being less susceptible to vortex induced motions in loop currents. The relatively large water plane area results in a decreased natural heave period, which locates the floater in the wave period range with more wave energy. Considering this, the hull design of Octabuoy semi-submersible has been optimized to improve the floater’s motion performance. The optimization has been conducted with optimized parameters of the pontoon’s rectangular cross section area, the cone shaped section’s height and diameter. Through numerical evaluations of both the 1st-order and 2nd-order hydrodynamics, the optimization through genetic algorithms has been proven to provide improved hydrodynamic performance, in terms of heave and pitch motions. This work presents a meaningful framework as a reference in the process of floating system’s design.

已经开发出使用遗传算法的优化框架，以实现Octabuoy半潜式设计的自动参数优化。与深吃水生产单元相比，浅吃水八角浮标半潜式潜水器的设计提供了一种浮动系统，该浮动系统的运动特性得到了改善，不易受到回路电流中涡流引起的运动的影响。相对较大的水平面面积会导致自然起伏周期减少，这使浮子处于具有更大波能的波浪周期范围内。考虑到这一点，对Octabuoy半潜式潜水艇的船体设计进行了优化，以改善浮子的运动性能。使用浮桥矩形横截面面积，圆锥形截面的高度和直径等优化参数进行了优化。通过对一阶和二阶流体动力学的数值评估，已证明通过遗传算法进行的优化可以在升沉和俯仰运动方面提供改进的流体动力学性能。这项工作提出了一个有意义的框架，作为浮动系统设计过程中的参考。