1. 中国空气动力研究与发展中心,绵阳,621000
2. 湖南科技大学 机电工程学院,湘潭,411201
赵鲲*(1989—),男,陕西西安人,研究方向:气动噪声控制,水动力噪声风洞模拟方法. E-mail:zhaokun@cardc.cn
纸质出版:2024
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赵鲲, 章荣平, 杨玫, 等. 基于线阵列的湍流边界层壁面脉动压力波数-频率谱模型实验研究[J]. 空气动力学学报, 2024, 42(6): 15−34.
ZHAO Kun, ZHANG Rongping, YANG Mei, et al. Experimental study of the turbulent-boundary-layer wall pressure fluctuation wavenumber-frequency spectrum models using linear array[J]. 2024, 42(6): 15-34.
赵鲲, 章荣平, 杨玫, 等. 基于线阵列的湍流边界层壁面脉动压力波数-频率谱模型实验研究[J]. 空气动力学学报, 2024, 42(6): 15−34. DOI: 10.7638/kqdlxxb-2023.0111
ZHAO Kun, ZHANG Rongping, YANG Mei, et al. Experimental study of the turbulent-boundary-layer wall pressure fluctuation wavenumber-frequency spectrum models using linear array[J]. 2024, 42(6): 15-34. DOI: 10.7638/kqdlxxb-2023.0111.
湍流边界层壁面脉动压力波数-频率谱建模是流动噪声领域十分关注的问题。研究首先总结归纳了近60年来的11种波数-频率谱预测模型,并按照模型的理论基础和表达形式划分为四类:Corcos类模型、不可压缩理论基模型、可压缩理论基模型和其他类模型。然后,开展声学风洞线阵列实验并对各预测模型进行展向方向波数积分,分别获得了流向方向的湍流边界层壁面脉动压力波数-频率谱实验测量结果与模型预测结果。最后,按照Corcos类模型与非Corcos类分别开展对比研究,分析研究了四类11种模型预测能力。研究结果表明:线阵列测量可以有效获得流向方向的波数-频率谱,并可用于校验各预测模型精度;在6个Corcos类模型选取时,需根据所关心的频率、波数范围及表达式计算复杂程度选取合适的预测模型;5个非Corcos类模型能够直接预测波数-频率谱,不需要自谱模型输入,较Corcos类模型具有较大优势,其中综合考虑Chase I模型最优,Chase II具备声学区边界预测能力。
Wavenumber-frequency spectrum modeling of wall pressure fluctuation has been the focus of the flow-induced noise in turbulent boundary layers. This study first summarized 11 models in the last six decades
classified into four groups
i.e.
Corcos-type
incompressible
compressible
and others. The performance of these models
further classified into Corocos-type and non-Corcos-type
was then examined by comparing their prediction with the experimental measurement using a linear array in an aeroacoustic wind tunnel. Results show that the linear array can measure the streamwise wavenumber-frequency spectrum correctly and
therefore
can be used to evaluate the accuracy of prediction models. The Corcos-type models have to be chosen based on the interested frequencies
wavenumbers
and the formula's complexity. The non-Corcos-type models can directly predict the wavenumber-frequency spectrum without the self-spectrum input
an advantage over the Corcos-type. Specifically
Chase-I model has the best ovserall performance; Chase-II can predict the acoustic-affected area.
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