Identification and qualification method of moving noise sources for the maglev flight tunnel

Zhang Jun; Ma Sai; Ni Zhangsong; Wang Mao; Wang Ruidong

doi:10.7638/kqdlxxb-2024.0201

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Identification and qualification method of moving noise sources for the maglev flight tunnel

更新时间：2026-05-28

- Identification and qualification method of moving noise sources for the maglev flight tunnel
- Vol. 44, Issue 3, Pages: 1-10(2026)
- 作者机构：
  
  成都流体动力创新中心,成都,610072
- 作者简介：
- 基金信息：
- DOI：10.7638/kqdlxxb-2024.0201
  CLC： V211.7;TB53;TP274+.2
- Published：2026
- 稿件说明：
移动端阅览
张军, 马赛, 倪章松, 等. 面向磁浮飞行风洞的运动声源定位和评估方法[J]. 空气动力学学报, 2026, 44(3): 1−10.

Zhang Jun, Ma Sai, Ni Zhangsong, et al. Identification and qualification method of moving noise sources for the maglev flight tunnel[J]. 2026, 44(3): 1-10.
张军, 马赛, 倪章松, 等. 面向磁浮飞行风洞的运动声源定位和评估方法[J]. 空气动力学学报, 2026, 44(3): 1−10. DOI： 10.7638/kqdlxxb-2024.0201

Zhang Jun, Ma Sai, Ni Zhangsong, et al. Identification and qualification method of moving noise sources for the maglev flight tunnel[J]. 2026, 44(3): 1-10. DOI： 10.7638/kqdlxxb-2024.0201.

摘要

磁浮飞行风洞作为一种“体动风静”式新概念空气动力试验设施，其声学测试面临运动声源定位与评估的新挑战。为此，本文针对其运行特点，提出了一种适用于运动声源定位和评估的快速时域波束形成（fast time-domain beamforming

FTBF）算法。通过仿真，探究了该算法对典型运动声源的定位和评估效果，并系统分析了相关参数的影响规律，在此基础上开展了实验验证。结果表明：（1）FTBF算法相比传统时域波束形成（conventional time-domain beamforming

CTBF）算法计算速度提升约45倍；（2）针对“除相同频率简谐声源外，不同频率简谐声源和白噪声声源受低频声源（或成分）影响，时域声源定位分辨率较低”的问题，将重构时域声压转换为频域并按频带分析，可显著提高声源定位和评估的精准度；（3）声源运动速度越高，在声源运动方向反向且偏离阵列中心的位置，声源成像分辨率越低；（4）实验结果显示，运动平台自噪声会干扰被测对象噪声的测量，且该干扰随速度提高而加剧，甚至淹没目标信号。本研究可为磁浮风洞等运动试验环境下的声学测量提供高效、精准的分析方法，对提升复杂气动声学测试的可靠性与工程应用价值具有积极意义。

Abstract

The maglev flying wind tunnel is a novel conceptual aerodynamic testing facility operating on the "object-moving and wind-static" principle

which poses new challenges for the localization and evaluation of moving sound sources in acoustic testing. In response

this paper proposes a fast time-domain beamforming (FTBF) algorithm suitable for moving sound source localization and evaluation based on its operational characteristics. Simulation studies on the localization and evaluation of typical moving sound sources

along with research on parameter influence

were conducted and experimentally validated. The results indicate that: (1) The FTBF algorithm improves computational speed by approximately 45 times compared to the conventional time-domain beamforming (CTBF) algorithm; (2) Regarding the issue that "except for simple harmonic sound sources of the same frequency

simple harmonic sound sources of different frequencies and white noise sound sources are affected by low-frequency sound sources (or components)

resulting in low resolution in time-domain sound source localization

" transforming the reconstructed time-domain sound pressure into the frequency domain and analyzing it by frequency band can significantly enhance the accuracy of sound source localization and evaluation; (3) As the moving speed of the sound source increases

the resolution of sound source imaging decreases at positions opposite to the direction of sound source motion and deviating from the center of the array; (4) Experimental results show that the self-noise of the moving platform interferes with the noise measurement of the test object

and this interference intensifies with increasing speed

even overwhelming the target signal. This study provides an efficient and accurate analytical method for acoustic measurements in moving test environments such as maglev wind tunnels

contributing positively to improving the reliability and engineering application value of complex aeroacoustic testing.

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