摘要
针对多学科优化设计中设计变量众多、计算周期长、应用集成复杂等问题,提出了一种基于遗传算法的综合优化技术;研究了基于网格技术的多学科优化系统构建方法,通过构建跨域系统的方式支撑复杂多学科优化问题研究.基于CNGrid GOS/GRIA以及OPTIMUS工作流引擎构建了跨中欧的网格平台,能有效支持襟翼噪声仿真案例.研究结果表明,平台能稳定运行40 d以上,优化后的襟翼位置使襟翼噪声降低了2.37dB,升力系数提高了0.005 6.
With the rapid development of aviation technology,many technologies have been integrated into the aircraft design,i.e.aerodynamic,structural strength,advanced materials etc.The traditional design and optimization methods can′t fulfill the requirements of designing competitive aircrafts.In order to resolve the difficulties in multi-discipline optimization i.e.huge number of design variables,long computing time,legacy application integration etc,this paper discusses the genetic algorithm-based integrated optimization technology,grid-based multiple-discipline system construction method and presents how to support complex optimization case based on cross-domain systems.We construct EU-China grid platform based on CNGrid GOS/GRIA and OPTIMUS workflow engine and effectively support the flap noise simulation case.Experiment results show our prototype can run stably more than 40 d,the optimized flap positions low noise by 2.37 dB and improve lift by 0.005 6.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2010年第S1期43-46,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家高技术研究发展计划资助项目(2009AA01A132)
关键词
多学科优化
遗传算法
网格技术
工作流管理
襟翼噪声
multiple-discipline optimization
genetic algorithm
grid technology
workflow management
flap noise
