中国舰船研究2017，Vol.12Issue(6)：66-72,7.DOI:10.3969/j.issn.1673-3185.2017.06.010
基于多目标优化算法NSGA II的极地穿梭油轮型线设计
Polar vessel hullform design based on the multi-objective optimization NSGA II
段菲 1张利军 1陈鸽 1姜海宁 1张琪1
作者信息
- 1. 中远海运重工有限公司技术研发中心,辽宁大连116000
- 折叠
摘要
Abstract
[Objectives]With the increasing exploitation of the Arctic abundant oil and gas resources,a large number of ships which meet the polar navigational requirements are needed.[Methods]In this paper,the fast elitist Non-Dominated Sorting Genetic Algorithm (NSGA II) is applied to the hull optimization,and the multi-objective optimization method of polar vessel design is proposed. With the optimization goal of resistance and icebreaking resistance,filtering hull forms through the standard of polar vessel displacement and EEDI,fast ship hull optimization that satisfy the ice-ship dead weight and EEDI requirements has been achieved. Taking a 65000 t shuttle tanker as an example,full parametric modeling method is adopted,the hull optimization of three different bow forms is conducted through the polar vessel multi-objective optimization method.[Results]The ship hull after optimization can satisfy the IA class navigation require,where the resistance in calm water decreases up to 12.94%,and the minimum propulsion power in ice field has a 27.36% reduction.[Conclusions]The feasibility and validity of the NSGA II applying in polar vessel design is verified.关键词
极地船舶/多目标优化方法/非支配排序遗传算法/船型优化Key words
polar vessel/multi-objective optimization method/NSGA II/hull design分类
交通工程引用本文复制引用
段菲,张利军,陈鸽,姜海宁,张琪..基于多目标优化算法NSGA II的极地穿梭油轮型线设计[J].中国舰船研究,2017,12(6):66-72,7.
