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声学风洞内气动噪声源识别定位方法研究
引用本文:王勋年,李征初,陈正武,崔红芳,张俊龙.声学风洞内气动噪声源识别定位方法研究[J].空气动力学学报,2012,30(3):284-290.
作者姓名:王勋年  李征初  陈正武  崔红芳  张俊龙
作者单位:1. 空气动力学国家重点实验室,四川绵阳621000;中国空气动力研究与发展中心,四川绵阳621000
2. 中国空气动力研究与发展中心,四川绵阳,621000
基金项目:空气动力学国家重点实验室基金
摘    要:声学风洞流场和试验环境会影响声音的传播,进而会影响声源识别。根据用于静态声源识别的经典Beamforming算法,利用声波在气流场和风洞射流剪切层中的传播规律,给出了一种能够用于声学风洞试验的基于麦克风阵列的气动噪声源识别分析方法,并进行了数值仿真和数值验算。数值验算结果表明风洞流场和剪切层对噪声源识别效果影响明显,采用本文所总结的计算方法能有效地修正这些影响。

关 键 词:麦克风阵列  Beamforming  气动噪声

Researching on aerodynamic noise sources identification technology in anechoic wind tunnel
WANG Xun-nian , LI Zheng-chu , CHEN Zheng-wu , CUI Hong-fang , ZHANG Jun-long.Researching on aerodynamic noise sources identification technology in anechoic wind tunnel[J].Acta Aerodynamica Sinica,2012,30(3):284-290.
Authors:WANG Xun-nian  LI Zheng-chu  CHEN Zheng-wu  CUI Hong-fang  ZHANG Jun-long
Institution:1,2(1.State Key Laboratory of Aerodynamics,Mianyang Sichuan 621000,China; 2.China Aerodynamics Research and Development Center,Mianyang Sichuan 621000,China)
Abstract:The flow field and test condition in anechoic wind tunnel impacted acoustic propagation,and impacted noise sources identification.According to classical Beamforming algorithm for static source identification,making use of acoustic propagation law in flow field and shear layer of anechoic wind tunnel,this paper develops an aerodynamic noise sources identification method based on microphone arrays in anechoic wind tunnel,then numerical emulation and numerical proof are proceed.Numerical proof results indicate flow field and shear layer of anechoic wind tunnel impacted results of noise sources identification obviously,the influence can be corrected by making use of the computation method that introduced in this paper.
Keywords:microphone array  Beamforming  aerodynamic noise sources
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