A statistical model for landing gear noise prediction
A statistical model for landing gear noise prediction
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DOI：
10.1016/j.jsv.2004.02.021
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发表时间：
2003-05
影响因子：
4.7
通讯作者：
Yueping Guo
中科院分区：
文献类型：
--
作者：
Yueping Guo
本文介绍了一种飞机起落架噪声预测框架的开发。建立了起落架噪声的预测模型，将起落架噪声分解为低、中、高频三个频谱分量。这对应于将起落架组件中的部件分类为三组，即用于低频的轮子、用于中频的主支柱和用于高频的小细节。波音737全尺寸起落架试验数据表明，在三个不同的频域中，噪声具有不同的谱特征。在每个频域中，通过使用不同的长度尺度来简化源的相位行为，得到了远场噪声的渐近结果。得到的结果只需要一些地面压力波动和起落架总成几何形状的统计描述作为输入。给出了几个简单的例子来说明预测噪声的特征，其趋势与实验数据相一致。频域分解还指出了获得噪声预测所需的表面压力特性的简单方法，本文也对此进行了讨论。
This paper presents the development of a framework for aircraft landing gear noise prediction. A prediction model is derived that decomposes the landing gear noise into three spectral components, for the low, mid and high frequencies, respectively. This corresponds to cataloguing the parts in the landing gear assembly into three groups, namely, the wheels for low frequencies, the main struts for mid frequencies and the small details for high frequencies. The spectral decomposition is demonstrated by experimental data from a full-scale Boeing 737 landing gear test, which show different spectral characteristics of the noise in the three different frequency domains. In each frequency domain, asymptotic results are derived for the farfield noise, by making use of different length scales to simplify the phase behavior of the sources. The derived results require as input only some statistical descriptions of the surface pressure fluctuations and the geometry of the landing gear assembly. Some simple examples are given to demonstrate the features of the predicted noise, which show trends consistent with experimental data. The frequency domain decomposition also points to simple ways of obtaining the surface pressure properties required for noise prediction, which is also discussed in this paper.