首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一种气动结构一体化设计方法
引用本文:马铁林,马东立,张朔.一种气动结构一体化设计方法[J].北京航空航天大学学报,2009,35(11):1366-1370.
作者姓名:马铁林  马东立  张朔
作者单位:北京航空航天大学无人驾驶飞行器设计研究所,北京,100191;北京航空航天大学航空科学与工程学院,北京,100191
摘    要:为解决气动结构一体化设计的工程应用,在传统并行子空间算法的基础上,深入分析了气动结构一体化设计的特点,在响应面构造上引入试验设计法,子空间优化中引入子空间设计的概念,系统级优化中引入Pareto遗传算法,提出了更加适合于气动结构多学科设计优化的基于Pareto遗传算法的并行子空间优化设计方法(CSSODM-PGA, Concurrent Subspace Optimization Design Method based on Pareto Genetic Algorithm),并将算法应用到机翼的气动结构多学科设计优化中,给出了合理的Pareto前沿面和可选方案.

关 键 词:并行子空间算法  Pareto遗传算法  多学科设计优化  Pareto前沿面
收稿时间:2008-10-28

Method for aerodynamic and structure integrative design
Ma Tielin,Ma Dongli,Zhang Shuo.Method for aerodynamic and structure integrative design[J].Journal of Beijing University of Aeronautics and Astronautics,2009,35(11):1366-1370.
Authors:Ma Tielin  Ma Dongli  Zhang Shuo
Institution:1. Research Institute of Unmanned Aerial Vehicle, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
2. School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
Abstract:In order to apply aerodynamic and structure integrative design to engineering practice,a concurrent subspace optimization design method based on Pareto genetic algorithm(CSSODM-PGA) which is much more suitable for aerodynamic and structure multidisciplinary design optimization is brought out based on the traditional concurrent subspace optimization(CSSO) algorithm and the analysis of characteristics of aerodynamic and structure integrative design.The CSSODM-PGA method developed in this study imports the met...
Keywords:concurrent subspace optimization ( CSSO )  Pareto genetic algorithm  multidisciplinary design optimization  Pareto front
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《北京航空航天大学学报》浏览原始摘要信息
点击此处可从《北京航空航天大学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号