On the wavenumber-frequency spectra of the wall pressure fluctuations in turbulent channel flow
Bowen Yang, Zixuan Yang

TL;DR
This study uses DNS to analyze the three-dimensional spectrum of wall pressure fluctuations in turbulent channel flow, revealing the importance of cross spectra and proposing a predictive model based on random sweeping.
Contribution
It introduces a detailed analysis of the wavenumber-frequency spectrum and evaluates the impact of neglecting cross spectra in predictive models.
Findings
The energy-containing spectrum can be predicted using a random sweeping model.
Neglecting the cross spectrum causes up to 4.7dB error in the sub-convective region.
Cross spectra are significant in low Mach number acoustics, affecting radiated sound predictions.
Abstract
Direct numerical simulations (DNS) of turbulent channel flows up to are conducted to investigate the three-dimensional (consisting of streamwise wavenumber, spanwise wavenumber and frequency) spectrum of wall pressure fluctuations. To develop a predictive model of the wavenumber-frequency spectrum from the wavenumber spectrum, the time decorrelation mechanisms of wall pressure fluctuations are investigated. It is discovered that the energy-containing part of the wavenumber-frequency spectrum of wall pressure fluctuations can be well predicted using a similar random sweeping model for streamwise velocity fluctuations. To refine the investigation, we further decompose the spectrum of the total wall pressure fluctuations into the auto spectra of rapid and slow pressure fluctuations, and the cross spectrum between them. We focus on evaluating the assumption applied…
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