Data analysis of sonic boom test based on probability model

被引:0
作者
Xu S. [1 ,2 ,3 ,4 ]
Lyu H. [5 ]
Liu Z. [6 ]
Leng Y. [6 ]
Liu X. [1 ,4 ]
机构
[1] MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing
[2] State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang
[3] Key Laboratory of Aerodynamic Noise Control, China Aerodynamics Research and Development Center, Mianyang
[4] Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University, Nanjing
[5] College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing
[6] Aviation Key Laboratory of Science and Technology on High Speed and High Reynolds Number Aerodynamic Force Research, AVIC Aerodynamics Research Institute, Shenyang
来源
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2023年 / 44卷 / 02期
关键词
near field; probabilistic model; sonic boom; spatial averaging method; spatial pressure measurement; wind tunnel test;
D O I
10.7527/S1000-6893.2021.26269
中图分类号
学科分类号
摘要
Acoustic explosion is one of the key problems to be solved in the development of supersonic civil aircraft,and the wind tunnel test is an important approach to acoustic explosion research. This paper briefly introduces the methods and difficulties in sonic boom tests,the corresponding countermeasures,and the precise measurement technology of the near-field space pressure of acoustic explosion test models in supersonic wind tunnels. The principles and shortcomings of the commonly-used correction technologies of precise measurement data,the reference run method,and the spatial averaging method are analyzed. A probabilistic model method is proposed to analyze the data of the sonic boom test. The proposed method parameterizes the disturbances caused by various uncertain factors in the complex wind tunnel environment,expressing uncertainty with probability. The probabilistic model method obtains the measurement results more efficiently,requiring no reference run data,and exhibiting validity and feasibility compared with the results of traditional methods. © 2023 AAAS Press of Chinese Society of Aeronautics and Astronautics. All rights reserved.
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