大型油船中剖面结构优化设计的遗传算法  

Optimization of Midship Section Structure of Large Crude Oil Carrier Based on Genetic Algorithm

作　　者：郭小东[1] 嵇春艳[1] 王自力[1] 顾学康[2] 胡嘉骏[2] 

机构地区：[1]江苏科技大学船舶与海洋工程学院,江苏镇江212003 [2]中国船舶科学研究中心,江苏无锡214082

出　　处：《江苏科技大学学报（自然科学版）》2006年第1期1-5,共5页Journal of Jiangsu University of Science and Technology:Natural Science Edition

基　　金：企业协作技术攻关课题(校编2003119)

摘　　要：采用遗传算法对大型油船中剖面结构进行了基于DNV规范的优化。以舱段单位长度重量最轻为目标函数,选取了20个设计变量,从DNV规范中提取了32个关于总强度、稳定性等要求作为约束条件,并设计了相应的遗传算法数学模型。算例结果表明单位舱段长度的重量减轻了5.2%,表明该遗传算法在大型油船中剖面的结构优化方面是行之有效的。The optimization of the midship section structure of a large crude oil carrier with genetic algorithm based on DNV rules is introduced. The optimization model with 20 design variables and extract 32 constraint conditions from DNV rules about longitudinal strength and buckling strength is established. Correspondingly, the genetic algorithm model is then built for the optimum design. Results from example show that the value of objective function i. e. the weight of cargo tank sturcture per unit length decreases by 5.2% indicating a good validity of genetic algorithm in the optimization of large crude oil carrier structure.

关 键 词：遗传算法 大型油船 中剖面结构 

分 类 号：U661.42[交通运输工程—船舶及航道工程]