摘要
对某深海装备的特制油缸结构,考虑各部分的尺寸关联性,基于有限元静力分析的结果,利用NSGA-II二代非支配排序遗传算法进行尺寸优化,通过拟合响应面近似模型,利用蒙特卡洛抽样模拟和6σ分析方法对优化结果的可靠性和质量进行评估和改进,分析表明,优化后重量相较于初始设计减少了15.3%,重浮力裕度增加了26.8%,关键位置的设计空间增加了3%。
Considering the dimension correlation of each part,based on the results of finite element static analysis,the non-dominated sorting genetic algorithm second generation(NSGA-II)was used to optimize the size of the special oil cylinder structure of a deep-sea equipment.The Monte Carlo sampling simulation and Six Sigma analysis were applied to evaluate and improve the reliability and quality of the optimization results by fitting the response surface approximation model.It can be concluded that the mass is reduced by 15.3%compared with the initial design,the margin of buoyancy and weight is increased by 28.6%,and the design space of key locations is increased by 3%.
作者
陈俊
CHEN Jun(Underwater Engineering Institute Co.Ltd.,Shanghai Jiao Tong University,Shanghai 200231,China)
出处
《船海工程》
北大核心
2022年第3期85-89,103,共6页
Ship & Ocean Engineering
基金
广东省重点领域研发计划(2019B111108001)。
关键词
多部件结构
有限元方法
多目标优化
可靠性
multi-component structure
finite element method
multi-objective optimization
reliability
