A robust aerodynamic optimization design for airfoil based on interval uncertainty analysis method
Song X(宋鑫); Zheng GN(郑冠男); Yang GW(杨国伟)
2019
会议日期July 28, 2019 - August 1, 2019
会议地点San Francisco, CA, United states
关键词Adaptive MOPSO DFFD Geometric uncertainty Interval analysis Kriging model Robust design optimization
英文摘要Uncertainties will make aircraft deviate from the designed condition, resulting in the decrease in aerodynamic performance and even destruction. This paper presents a fast nonlinear interval analysis method considering geometric uncertainties. DFFD method is used to parameterize the airfoil shape, and the Kriging model for aerodynamic force and uncertainty variables is optimized by PSO algorithm to find the upper and lower bounds of the objective interval. The effects of geometric uncertainties on NACA0012 airfoil are analyzed using the above method. And then, a robust optimization design method is established based on the interval analysis method. FFD method is used to produce the deterministic design variables and the order relation of interval number is employed to transform the uncertain optimization to deterministic multi-objective optimization which is solved by MOPSO based on Pareto entropy. The robust optimization design is implemented for the symmetrical airfoil with the drag objective under geometric uncertainties and thickness constraint, and the results are compared with the deterministic optimization to validate the effectiveness of the developed method. Copyright © 2019 ASME.
会议录ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019
语种英语
URL标识查看原文
ISBN号9780791859032
内容类型会议论文
源URL[http://dspace.imech.ac.cn/handle/311007/85107]  
专题力学研究所_流固耦合系统力学重点实验室(2012-)
作者单位Key Laboratory for Mechanics in Fluid Solid Coupling Systems, Institute of Mechanics, Chinese Academy of Sciences School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Song X,Zheng GN,Yang GW. A robust aerodynamic optimization design for airfoil based on interval uncertainty analysis method[C]. 见:. San Francisco, CA, United states. July 28, 2019 - August 1, 2019.
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