气动噪声源频域自适应区域积分算法及风洞试验应用

Frequency domain adaptive region integration algorithm for aerodynamic noise sources and its application in wind tunnel tests

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。

The sound source region integration algorithm is an effective data processing method for extracting aerodynamic noise source characteristics of aircraft components in wind tunnel tests.The integration region of traditional sound source region integration algorithm is fixed,but aerodynamic noise distribution characteristics of aircraft body can obviously change with frequency to cause larger errors of integration results.Here,to improve the correctness of sound source integration results with varying frequency domain distribution features,a frequency domain adaptive region integration algorithm based on CLEAN-SC algorithm was proposed.Its core idea was to discretize sound source integration region,adaptively optimize integration region according to the strongest sound source position in sub-regions obtained with CLEAN-SC algorithm,and obtain more correct sound source integration results.It was shown that through simulation calculation and analyzing acoustic wind tunnel test data,the frequency domain adaptive region integration algorithm can obtain more accurate sound source integration results;the proposed algorithm has better applicability for dynamic sound sources,such as,aerodynamic noise sources of aircraft body.