北京航空航天大学学报 ›› 2017, Vol. 43 ›› Issue (5): 927-934.doi: 10.13700/j.bh.1001-5965.2016.0354

• 论文 • 上一篇    下一篇

吸气式高超声速飞行器多参数灵敏度分析

鞠胜军, 阎超, 叶志飞   

  1. 北京航空航天大学 航空科学与工程学院, 北京 100083
  • 收稿日期:2016-04-28 出版日期:2017-05-20 发布日期:2017-05-27
  • 通讯作者: 阎超,E-mail:yanchao@buaa.edu.cn E-mail:yanchao@buaa.edu.cn
  • 作者简介:鞠胜军,男,博士研究生。主要研究方向:计算流体力学及飞行器设计;阎超,男,博士,教授,博士生导师。主要研究方向:计算流体力学;叶志飞,男,硕士研究生。主要研究方向:计算流体力学及飞行器设计。

Multi-parametric sensitivity analysis of air-breathing hypersonic vehicle

JU Shengjun, YAN Chao, YE Zhifei   

  1. School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2016-04-28 Online:2017-05-20 Published:2017-05-27

摘要: 为实现吸气式高超声速飞行器多参数情况下的灵敏度分析及参数分类,降低设计的复杂度,在吸气式高超声速飞行器参数化建模的基础上,首先采用正交试验设计生成样本,再通过计算流体力学(CFD)进行高精度气动力性能计算,最后运用方差分析法进行气动性能的参数灵敏度分析,在运用较少的试验样本点的情况下,即可完成多参数、复杂构型条件下气动性能的参数灵敏度分析。结果表明,该方法可以正确地分析出参数对飞行器气动性能的敏感程度,得到参数对气动性能的影响规律。同时,通过灵敏度分析的计算样本,还可以初步选出气动性能较优的飞行器构型,为地面试验和优化设计提供参考。

关键词: 正交试验设计, 方差分析, 计算流体力学(CFD), 气动性能, 灵敏度分析

Abstract: To implement multi-parametric sensitivity analysis and multi-parametric classification of air-breathing hypersonic vehicle and reduce the complexity of design, parameterized shape generation of air-breathing hypersonic is performed. First, the orthogonal design of experiment is used to generate the sample; then the high-precision aerodynamic performance calculation is implemented by the computational fluid dynamics (CFD); finally, parameter sensitivity analysis of aerodynamic performance by the method of variance analysis is carried out. Multi-parametric sensitivity analysis of aerodynamic performance on complex geometries is completed with the small sample size of the experiment. The results show that the sensitivity of multi-parameter to aerodynamic performance of aircraft and the influence rules of aerodynamic performance can be obtained correctly. Besides, the better aircraft geometry can be selected by experiment samples and is of great significance for optimization design and ground experiments.

Key words: orthogonal design of experiment, variance analysis, computational fluid dynamics (CFD), aerodynamic performance, sensitivity analysis

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