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.
鞠胜军, 阎超, 叶志飞. 吸气式高超声速飞行器多参数灵敏度分析[J]. 北京航空航天大学学报, 2017, 43(5): 927-934.
JU Shengjun, YAN Chao, YE Zhifei. Multi-parametric sensitivity analysis of air-breathing hypersonic vehicle. JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2017, 43(5): 927-934.
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