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基于阻力和EEDI的船舶主尺度要素多学科设计优化
引用本文:苏绍娟,介推,刘波.基于阻力和EEDI的船舶主尺度要素多学科设计优化[J].上海海事大学学报,2018,39(1):25-30.
作者姓名:苏绍娟  介推  刘波
作者单位:大连海事大学船舶与海洋工程学院,大连海事大学船舶与海洋工程学院,大连航运职业技术学院轮机系
基金项目:国家自然科学基金(51609031);中央高校基本科研业务费专项基金(3132016346,3132017018);辽宁省教育厅科学研究一般项目(L2015067)
摘    要:为寻找高效节能船舶主尺度要素,以一艘多用途船作为研究对象,从多学科设计优化的角度入手,根据普鲁哈斯卡假设和三因次换算方法将船舶阻力参数化,采用等效能效指数将船舶能效设计指数(energy efficiency design index,EEDI)参数化,使其均为船舶主尺度要素函数。选用合适的多学科设计优化模型,运用第二代非支配排序遗传算法(second generation non-dominated sorting genetic algorithm,NSGA-II)得到优化的船舶主尺度要素。对原船进行船型变换,得到优化船。利用CFD进行数值模拟,验证优化船的阻力性能和EEDI优于原船的阻力性能和EEDI,达到优化的目的。

关 键 词:船舶能效设计指数(EEDI)    船舶主尺度    多学科设计优化    阻力
收稿时间:2017/5/3 0:00:00
修稿时间:2017/11/15 0:00:00

Multidisciplinary optimization design on ship principal dimensions based on resistance and EEDI
Institution:Transportation Equipments and Ocean Engineering College, Dalian Maritime University
Abstract:To find the principal dimensions of high efficiency and energy saving ships, a multi purpose ship is studied. From the perspective of the multidisciplinary optimization design, the ship resistance is parameterized according to Prohaska hypothesis and the three dimensional conversion method, and the energy efficiency design index (EEDI) is parameterized using the equivalent efficiency index, which makes them to be the ship principal dimension functions. An appropriate multidisciplinary optimization design model is chosen. The second generation non dominated sorting genetic algorithm (NSGA II) is used to get the optimal ship principal dimensions. The original ship is converted into an optimal ship. The numerical simulation by CFD verifies that the resistance performance and EEDI of the optimal ship are superior to those of the original ship, thus the optimization is achieved.
Keywords:energy efficiency design index (EEDI)  ship principal dimension  multidisciplinary optimization design  resistance
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