首页|基于RSM-NCGA算法的大型邮轮钢骨架复合材料夹芯板结构优化研究

基于RSM-NCGA算法的大型邮轮钢骨架复合材料夹芯板结构优化研究

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采用一种钢骨架复合材料夹芯板结构来降低大型邮轮上层建筑重量.运用3D-Hashin失效准则以及损伤材料刚度矩阵退化方法预测结构的渐进损伤,基于ABAQUS二次开发将该结构参数化建模.采用DOE试验设计中的优化拉丁超立方设计采样,依据采样点建立四次多项式响应面代理模型.以结构质量和极限载荷为优化目标函数,基于NCGA遗传算法在响应面代理模型上开展钢骨架复合材料夹芯板结构多目标优化.结果表明:优化结果的质量比初始方案降低12.1%,极限承载能力提高17.4%;通过DOE试验设计与遗传算法混合优化策略可以应用于钢骨架复合材料夹芯板结构设计中的不同问题.
Structural optimization of composite sandwich panels with steel stiffeners based on RSM-NCGA algorithm
A composite sandwich panel with steel stiffeners is used to reduce the weight of the superstructure of the large cruise ship.The 3D Hashin failure criterion and the stiffness matrix degradation method are used to conduct the finite element analysis of progressive damage to reveal the failure mode.The structure is modeled based on ABAQUS secondary development.Using the optimized Latin hypercube design sampling in DOE test design,a quartic polynomial response surface proxy model is established according to the sampling points.The structural mass and ultimate load are used as optimization objective functions in the response surface agent mod-el,the multi-objective optimization of composite sandwich panel with steel stiffeners is carried out based on NC-GA genetic algorithm.The results show that the mass of the optimized results is reduced by 12.05%and the ulti-mate bearing capacity is increased by 17.43%.The hybrid optimization strategy of DOE experiment design and genetic algorithm can be applied to different problems in the composite sandwich panel with steel stiffeners.

large cruise shipcomposite materialprogressive damagemulti-objective optimization

蒋京校、刘斌、吴卫国

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武汉理工大学绿色智能江海直达船舶与邮轮游艇研究中心,武汉 430063

武汉理工大学船海与能源动力工程学院,武汉 430063

大型邮轮 复合材料 渐进损伤 多目标优化

国家自然科学基金项目中央高校基本科研业务费专项资金中央高校基本科研业务费专项资金

522713262231730032021111023JC

2024

江苏科技大学学报(自然科学版)
江苏科技大学

江苏科技大学学报(自然科学版)

影响因子:0.373
ISSN:1673-4807
年,卷(期):2024.38(4)