气动噪声源频域自适应区域积分算法及风洞试验应用

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摘要声源区域积分算法是风洞试验中提取飞机组成部件气动噪声源特征的有效数据处理方法。传统声源区域积分算法的积分区域固定，但是飞机机体的气动噪声分布特征会随频率发生明显变化，导致积分结果存在较大误差。为提高频域分布特征变化的声源积分结果准确性，提出了基于CLEAN-SC算法的频域自适应区域积分算法，核心思想是将声源积分区域离散划分，依据CLEAN-SC算法得到的子区域内最强声源位置进行积分区域的自适应优化，从而获取更准确的声源积分结果。通过仿真计算和声学风洞试验数据分析，频域自适应区域积分算法能够得到更为准确的声源积分结果，对于机体气动噪声等动态声源具有更好的适用性。

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	赵佳锡
	章荣平
	张俊龙
	李征初
	宋玉宝

关键词 ：气动噪声, 风洞试验, 声源区域积分, 机体噪声

Abstract：Source region integration algorithm is an effective method to obtain aeroacoustics characteristics of aircraft components in wind tunnel test. The integration region of the traditional algorithm is fixed, but the aerodynamic noise distribution characteristics of airframe noise change with frequency, which will lead to error in the integration results. In order to improve the accuracy of dynamic source integration result, frequency domain adaptive integration algorithm based on CLEAN-SC is proposed, the core idea is to discretize the source integration region, and optimize the integration region adaptively according to the strongest source position in the sub-region obtained by CLEAN-SC algorithm. Through simulation and wind tunnel test data analysis, the frequency domain adaptive integration algorithm can get more accurate integration results, and is better to dynamic acoustic source like airframe noise.

Key words： aeroacoustics wind tunnel test source region integration airframe noise

收稿日期: 2022-10-31 出版日期: 2023-10-15

引用本文:

赵佳锡，章荣平，张俊龙，李征初，宋玉宝. 气动噪声源频域自适应区域积分算法及风洞试验应用[J]. 振动与冲击, 2023, 42(19): 162-171.
ZHAO Jiaxi, ZHANG Rongping, ZHANG Junlong, LI Zhengchu, SONG Yubao. Frequency domain adaptive region integration algorithm for aerodynamic noise sources and its application in wind tunnel tests. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(19): 162-171.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2023/V42/I19/162

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