基于稀疏网格模型和NSGA-II算法的中型游艇结构轻量化研究  

Research on Structural Lightweight Design of Medium-sized Yachts Based on the Sparse Grid Model and NSGA-II algorithm

作　　者：申炜鑫 王汉友 冷学华 刘自浩 SHEN Wei-xin;WANG Han-you;LENG Xue-hua;LIU Zi-hao(School of Art and Design,Wuyi University,Jiangmen 529000,China;Heysea Yachts Co Ltd,Jiangmen 529000,China)

机构地区：[1]五邑大学艺术设计学院,广东江门529000 [2]江门市海星游艇制造有限公司,广东江门529000

出　　处：《五邑大学学报（自然科学版）》2022年第2期54-59,共6页Journal of Wuyi University(Natural Science Edition)

基　　金：湖北省重点实验室开放基金重点项目(KFJJ-2021004);五邑大学研究生教育创新计划资助项目(YJS-JGXM-21-07)。

摘　　要：为了提高某中型游艇结构的优化效率,本文针对船体结构进行优化,提出了一种将稀疏网格模型与NSGA-II算法结合的优化方法,进行轻量化研究.根据船体结构有限元分析结果,选择合适的优化参数,然后利用稀疏网格自适应局部细化过程,生成响应面模型,能在保证样本点数较少情况下满足精度要求,结合NSGA-II算法对其进行优化求解,得到的优化结果误差小,求解速度快,收敛性好,其强度满足设计要求,仿真结果与原有设计参数比,优化后船体总质量减轻了15.6%,有效实现了轻量化设计目标.In order to improve the optimization efficiency of the structure of a medium-sized yacht and optimize the hull structure, an optimization method combining the sparse grid model with the NSGA-II algorithm for lightweight research is proposed,the appropriate optimization parameters are selected, and then the response surface model is generated by using the adaptive local refinement process of the sparse grid. The model can meet the accuracy requirements under the conditions of ensuring that the number of sample points is small. Combined with the NSGA-II algorithm, the optimized method can achieve a smaller error rate, fast solution speed, good convergence, and the strength can meet the design requirements. The simulation results show the total mass of the hull after optimization is reduced by 15.6%, effectively achieving the lightweight design goal.

关 键 词：稀疏网格 轻量化设计 NSGA-II 有限元分析 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] U663.2[自动化与计算机技术—计算机科学与技术]