4.1 Article

From shear stress to wall pressure spectra: a semi-analytical approach to account for mean pressure gradients in turbulent boundary layers

期刊

ACTA ACUSTICA
卷 6, 期 -, 页码 -

出版社

EDP SCIENCES S A
DOI: 10.1051/aacus/2022034

关键词

Wall pressure spectra; Pressure gradient; Turbulent boundary layer; Analytical model

资金

  1. Auvergne-Rhone-Alpes region [AURA - 909 92 204181]
  2. Labex CeLyA of the Universite de Lyon, within the programme 'Investissements d'Avenir' [ANR-10-LABX-0060/ANR-16-IDEX-0005]

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This study presents a semi-analytical method to compute the wall pressure spectra beneath a turbulent boundary layer using the Karman number and dimensionless pressure gradient. By incorporating mean shear profiles into a mixing length model, the velocity profiles can be reconstructed under different pressure gradients. The modelled frequency spectra closely estimate the measured ones and the effects of pressure gradients on the convective ridge structure are observed.
This study offers a semi-analytical means to compute the wall pressure spectra beneath a turbulent boundary layer depending only on the latter's Karman number and dimensionless pressure gradient. By inclusion of the total mean shear profiles in a mixing length model, the velocity profiles can be reconstructed under adverse, zero- and favourable pressure gradients. These profiles serve as input to existing models of the wall pressure spectra and thus remove the need for experimental or numerical data. The modelled frequency spectra fairly estimate the level of the measured ones. The three typical regions of those spectra are recovered, although the overlap one is shorter than with experimental data, and the trends of pressure gradients effects are also observed. The wavenumber representation shows the effect of pressure gradients on the convective ridge structure as its aspect ratio increases from adverse to favourable ones. The same variation is observed in experimental data, and although the absolute values of the aspect ratios do not match, qualitative observations can be made.

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