常规风洞气动噪声声源辨识研究新探索

The new exploration of noise source identifying in closed wind tunnel

  • 摘要: 发展了基于经典波束形成算法的修正算法,该算法通过控制分析噪声的相位信息,改变波束聚焦速度,从而达到控制波束宽度的目的,基于经典波束形成算法的修正算法显著提高了低频噪声的和高频噪声的分辨率.文中还提出了机械滤波技术,该技术是设想通过控制传声器的观察角减小风洞背景噪声对传声器测量的影响,从而达到提高风洞相阵列试验信噪比的目的。

     

    Abstract: Classical Beamforming arithmetic is the basic method for aero -acoustics test in wind tunnel. Many new optimization techniques up to date are developed based on it, for example CLEAN, NNLS(Non -Negative Least -Squares) and DAMAS(Deconvolution Approach for the Mapping of Acoustic Sources). But Classical Beamforming arithmetic has its own obvious shortcoming, which is that the resolving power of Classical Beamforming result is not high enough for both low frequency and high frequency signal. And especially when background noise exitsing, it has low Signal -Noise Ratio(SNR) due to background noise. A new method based on the classical Beamforming arithmetic is developed in this paper, which changes the width of beam by controling the phase of sound and varies the speed for beam focusing. The resolving power improves obviously for both low frequency and high frequency source when the method applied to noise source identifying. The skill of mechanism filtering is also proposed here. The filtering method is tending to reduce the effect of background noise by controlling the observation angle of microphone and improve the SNR of test.

     

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