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超临界翼型稳健型优化设计研究
引用本文:白俊强,王波,孙智伟,张扬.超临界翼型稳健型优化设计研究[J].空气动力学学报,2011,29(4).
作者姓名:白俊强  王波  孙智伟  张扬
作者单位:西北工业大学翼型叶栅空气动力国防科技重点实验室,陕西西安,710072
摘    要:基于标准遗传算法、RBF神经网络以及类函数/型函数变形技术建立了翼型气动优化设计系统,在选取3次CST方法即分别对翼型上下表面采用4个设计变量进行参数化,对某型客机基本翼型在给定设计指标下进行优化设计,分别研究了巡航状态下的气动优化,以及结合蒙特卡洛分析方法马赫数随机平均分布下的翼型稳健型优化设计。结果显示,优化后的翼型的气动特性有着显著提高。

关 键 词:CST方法  稳健设计  遗传算法  代理模型  神经网络  

The research of robust supercritical airfoil design optimization
BAI Jun-qiang,WANG Bo,SUN Zhi-wei,ZHANG Yang.The research of robust supercritical airfoil design optimization[J].Acta Aerodynamica Sinica,2011,29(4).
Authors:BAI Jun-qiang  WANG Bo  SUN Zhi-wei  ZHANG Yang
Institution:BAI Jun-qiang,WANG Bo,SUN Zhi-wei,ZHANG Yang(National Key laboratory of Aerodynamic Design and Research,Northwestern Polytechnical University,Xi'an 710072,China)
Abstract:Airfoil optimization design system is built,based on the standard genetic algorithm,RBF neural network and the class functions / shape function distortion technology.The thrice CST method which has four design variables is utilized to parameterize the upper and lower shape of the airfoil.Then the optimal airfoil design of a typical aircraft is done on condition that the design index is given.The aerodynamic optimization under the state of cruise and the robust airfoil shape optimization on the basis of Mach...
Keywords:CST method  robust design  genetic algorithm  agent model  neural network  
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