摘要
无人水下航行器(UUV)的壳体重量大小直接影响到其整体性能。只采用一种优化方法进行耐压壳体结构优化设计很难得到真正的全局最优解,笔者以自适应模拟退火算法、多岛遗传算法和序列二次规划算法为基础,建立了两种不同的组合优化方法,在一定程度上能够确保解的全局最优性。基于该组合优化方法,利用iSIGHT软件,集成自编的肋骨加强薄壁壳体结构的应力及稳定性计算程序,对无人水下航行器(UUV)耐压壳体结构进行优化设计。通过对优化设计前后耐压壳体结构的强度、稳定性及重量进行比较分析,结果表明:采用组合优化算法优化设计得到的无人水下航行器(UUV)耐压壳体在满足壳体结构强度和抗压稳定性要求下,壳体重量极大程度地降低,实现了结构优化。
The size of the shell mass of the Unmaned Underwater Vechile（UUV）affects its overall performance directly.It is difficult to get the real optimal solution by using one method only.In this paper,based on the adapted simulated annealing algorithm,multi-island genetic algorithm and sequential quadratic programming algorithm,we present two different combinatorial optimization methods to ensure the optimality of the solution to some extent.Baded on these combinatorial methods,using iSIGHT software,we integrate a self-made calculation program for strengthening the thin-walled shell structure and stability of the stress and design the shell structures of the unmanned underwater vehicle.By comparing and analyzing the pressure,stability and mass of the shell structure before and after the optimal design,the results show that the unmanned underwater vehicle shell designed by using the combinatorial optimization algorithm not only meet the strength and stability requirements,but also reduce the mass greatly,thus achieving structural optimization.
出处
《机械科学与技术》
CSCD
北大核心
2010年第5期561-565,共5页
Mechanical Science and Technology for Aerospace Engineering
