Abstract This paper presents the development of a numerical optimization tool for the design of a passive U-tube type anti-roll tank (ART) system to mitigate the roll motions of a vessel. A Genetic Algorithm (GA) based optimization scheme has been developed to minimize the objective function, which in the present investigation is chosen to be the area under the roll response transfer function curve. A practical nonlinear time-domain based body-exact strip theory technique is used to solve the fully coupled ART–ship motion problem. In the optimization process, the GA is linked to the fluid solver to approach an optimum ART design. The optimization variables are chosen to be the principal dimensions of the anti-roll tank, which have bearing on the roll reduction characteristics of the vessel. The study is implemented in the case of a coastal research vessel requiring passive stabilization via an ART. The results are validated using laboratory scale models to quantify the tank dynamics and effectiveness in isolation as well as when deployed in the vessel model and subjected to waves. The results demonstrate the validity and efficiency of the entire computational scheme.

中文翻译：

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基于遗传算法的海船被动减摇水箱设计优化

摘要 本文介绍了一种数值优化工具的开发，用于设计被动 U 型管式减摇罐 (ART) 系统以减轻船舶的横摇运动。已经开发了一种基于遗传算法 (GA) 的优化方案来最小化目标函数，在本研究中，目标函数被选择为侧倾响应传递函数曲线下的面积。一种实用的基于非线性时域的身体精确带理论技术用于解决完全耦合的 ART-船舶运动问题。在优化过程中，GA 与流体求解器相关联，以实现最佳 ART 设计。优化变量被选择为减摇水箱的主要尺寸，这与船舶的减摇特性有关。该研究是在需要通过 ART 进行被动稳定的沿海研究船的情况下实施的。结果使用实验室规模模型进行验证，以量化单独以及部署在船舶模型中并受到波浪影响时的坦克动力学和有效性。结果证明了整个计算方案的有效性和效率。