Experimental study of the turbulent-boundary-layer wall pressure fluctuation wavenumber-frequency spectrum models using linear array

ZHAO Kun; ZHANG Rongping; YANG Mei; WANG Xunnian; YU Rongke

doi:10.7638/kqdlxxb-2023.0111

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Experimental study of the turbulent-boundary-layer wall pressure fluctuation wavenumber-frequency spectrum models using linear array

更新时间：2026-05-28

- Experimental study of the turbulent-boundary-layer wall pressure fluctuation wavenumber-frequency spectrum models using linear array
- Vol. 42, Issue 6, Pages: 15-34(2024)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.7638/kqdlxxb-2023.0111
  CLC： V216.3
- Published：2024
- 稿件说明：
移动端阅览
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.

摘要

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。

Abstract

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.

关键词

Keywords

references

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