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Parametric design and multi-objective optimisation of containerships

机译：集装箱船的参数设计与多目标优化

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摘要

The fluctuation of fuel price levels along with the continuous endeavour of the shipping industry for economic growth has led the shipbuilding industry to explore new designs for various types of ships. In addition, the introduction of new regulations by the International Maritime Organisation frequently triggers changes in the ship design process. In this respect, proper use of computer-aided ship design systems extends the design space, while generating competitive solutions in short lead time. This paper focuses on multi-objective optimisation of the design of containerships. The developed methodology is implemented on CAESES software and is demonstrated by the conceptual design and optimisation of a 6500 TEU containership. The methodology includes a parametric model of the ship's external and internal geometry and the development and calculation of all required properties for compliance with the design constraints and verification of the key performance indicators. The latter constitute the objective functions of the multi-objective optimisation problem. The energy efficiency design index, the ratio of the above to below deck number of containers, the required freight rate, the ship's zero-ballast container capacity and the total ship resistance were used in this study. Genetic algorithms were used for the solution of this multi-objective optimisation problem.
机译：燃油价格水平的波动以及航运业对经济增长的持续努力，促使造船业探索各种类型船舶的新设计。此外，国际海事组织（International Maritime Organization）出台的新规定经常引发船舶设计过程的变化。在这方面，正确使用计算机辅助的船舶设计系统可以扩展设计空间，同时在很短的交货时间内产生具有竞争力的解决方案。本文着眼于集装箱船设计的多目标优化。该开发的方法在CAESES软件上实现，并通过6500 TEU集装箱船的概念设计和优化得到了证明。该方法学包括船舶外部和内部几何形状的参数模型，以及为符合设计约束和关键性能指标验证而开发和计算所有必需特性的方法。后者构成了多目标优化问题的目标函数。本研究使用能效设计指标，上下甲板货柜数量的比率，所需的运价，船舶的零压载集装箱容量和船舶总阻力。遗传算法用于解决该多目标优化问题。

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