动态大气环境下高速飞行器气动噪声不确定性量化研究

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Abstract Due to the dynamic variation of atmospheric parameters in near space, the aerodynamic noise of high-speed aircrafts presents significant uncertain characteristics, which is useful for structural design. In this paper, a typical wing of high-speed aircraft is taken as research model. First, the reduced order model for aerodynamic noise prediction is established, by using proper orthogonal decomposition and surrogate model, to improve the aerodynamic noise analysis efficiency. Then, based on the reduced order model and random distribution characteristics of the atmospheric parameters, the aerodynamic noise uncertainty characteristics are efficiently quantified. Finally, the influence of atmospheric parameters on aerodynamic noise is studied by sensitivity analysis. Results show that the uncertainty characteristics of aerodynamic noise could be accurately and efficiently quantified using the reduced order model. A nonlinear relationship between the atmospheric parameters and the aerodynamic noise can be observed. Shock wave and boundary layer separation behind shock wave are the important reasons for the aerodynamic noise violent fluctuation. The density variation contributes greatly to the uncertainty of aerodynamic noise.

Key words： dynamic atmosphere aerodynamic noise reduced order model neural network sensitivity analysis

Received: 21 April 2022 Published: 28 July 2023

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	Articles by authors
	ZHENG Linghua1
	2
	CHEN Qiang1
	2
	LI Yanbin1
	2
	FANG Fang3
	FEI Qingguo1
	2

Cite this article:

ZHENG Linghua1,2,CHEN Qiang1, et al. Uncertainty quantification for the aerodynamic noise of high-speed aircrafts in dynamic atmospheric environment[J]. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(14): 306-313.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2023/V42/I14/306

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