基于iSIGHT平台的三维机翼气动优化设计  

Aerodynamic Optimization of 3D Wing Based on iSIGHT

作　　者：银波[1] 徐典[2] 安亦然[2] 陈耀松[2] 

机构地区：[1]清华大学工程力学系,北京100084 [2]北京大学工学院,北京100871

出　　处：《应用数学和力学》2008年第5期544-550,共7页Applied Mathematics and Mechanics

摘　　要：基于iSIGHT设计平台,结合CFD软件Fluent对三维机翼进行多目标优化设计,以提高其气动性能.设计过程中采用NCGA(neighborhood cultivation)———邻域培植遗传算法,NSGA-Ⅱ(non-dominated sorting)———非支配解排序遗传算法为优化算法,以N-S方程作为主控方程,对三维机翼优化.经过优化设计后结果表明,机翼的气动性能有了显著改善,该优化方法可推广用于多种翼型和机翼优化.A method of combining the CFD software, Fluent, with iSIGHT design platform was presented to optimize three-dimensional wing to ameliorate its aerodynarnics performance. In the optimization design, two kinds of the genetic algorithm（GA）, the NCGA （neighborhood cultivation GA） and the NSGA- Ⅱ （non-dominated sorting GA） were employed and the N-S equations were adopted to derive the aerodynamics functions of the 3D wing. The aerodynamic performance of the optimized wing has been significantly improved, which shows that the approach can be extended and employed in other cases.

关 键 词：气动计算 多目标优化 遗传算法 三维机翼 

分 类 号：O354.1[理学—流体力学]