基于概率模型的声爆试验数据分析

Data analysis of sonic boom test based on probability model

声爆是研制超声速民用飞机所需解决的关键问题之一,风洞试验是开展声爆研究的重要方式。简要介绍了进行声爆试验的方法与困难及相应的应对措施,以及超声速风洞声爆试验模型近场空间压力精确测量技术。重点针对国际上通常采用的精确测量数据修正技术:参考车次方法及空间平均方法,分析其原理及不足。提出概率模型方法对声爆试验进行数据分析,将复杂的风洞环境中各种不确定因素所造成的干扰参数化,用概率模型表达其不确定性。概率模型方法无需进行参考车次试验,用更少的数据得到更为准确的结果,并在与传统方法结果对比中表现出了该方法的合理性及可行性。

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.