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Article

Comparison of Semi-Empirical Single Point Wall Pressure Spectrum Models with Experimental Data

Department of Mechanical and Aerospace Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada
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Author to whom correspondence should be addressed.
Academic Editor: Timothy Wei
Fluids 2021, 6(8), 270; https://doi.org/10.3390/fluids6080270
Received: 15 June 2021 / Revised: 23 July 2021 / Accepted: 28 July 2021 / Published: 31 July 2021
This study presents an evaluation of semi-empirical single-point wall pressure spectrum models by comparing model predictions with wind tunnel and flight test data. The mean squared error was used to compare the power spectral density of the wall pressure fluctuations predicted by semi-empirical models with a large amount of experimental data. Results show that the models proposed by Goody and Smol’yakov have the lowest mean squared error when predicting the power spectral density for wind tunnel experiments and the Rackl and Weston model has the lowest mean squared error when predicting the power spectral density for flight test data. In addition, although current studies of the power spectra obtained in the wind tunnel are similar, they are not generally an accurate representation of flight test experiments. View Full-Text
Keywords: aeroacoustics; turbulent boundary layer; scaling; acoustics; modelling aeroacoustics; turbulent boundary layer; scaling; acoustics; modelling
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MDPI and ACS Style

Thomson, N.; Rocha, J. Comparison of Semi-Empirical Single Point Wall Pressure Spectrum Models with Experimental Data. Fluids 2021, 6, 270. https://doi.org/10.3390/fluids6080270

AMA Style

Thomson N, Rocha J. Comparison of Semi-Empirical Single Point Wall Pressure Spectrum Models with Experimental Data. Fluids. 2021; 6(8):270. https://doi.org/10.3390/fluids6080270

Chicago/Turabian Style

Thomson, Nicholas, and Joana Rocha. 2021. "Comparison of Semi-Empirical Single Point Wall Pressure Spectrum Models with Experimental Data" Fluids 6, no. 8: 270. https://doi.org/10.3390/fluids6080270

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