Empirical Spectral Model of Surface Pressure Fluctuations

By M. Goody. 2004

476 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/fec35daa17561fd9b68bbeb671798aa9c698ef73

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. G. Robert
2. Y. Rozenberg
3. P. Spalart
4. I. Castro
5. Zhiwei Hu
6. Neil D. Sandham
7. Stéphane Moreau
8. C. Morfey

In Computational Mechanics

1. P. Spalart
2. A. Travin
3. M. Shur
4. M. Strelets
5. Neil D. Sandham
6. G. Robert
7. Y. Rozenberg
8. I. Castro

In Environmental Engineering

1. P. Spalart
2. A. Travin
3. M. Strelets
4. M. Shur
5. G. Robert
6. Y. Rozenberg
7. Neil D. Sandham
8. I. Castro

Citations in the corpus

• Wall-Pressure Spectral Model Including the Adverse Pressure Gradient Effects (2012, methodology): “The proposed model, based on Goody’s model [14] and taking into account the APG effects, is presented in Sec.”
• Wall Pressure and Shear Stress Spectra from Direct Simulations of Channel Flow (2006, methodology): “In experimental studies of wall-pressure fluctuations under a turbulent boundary layer, various combinations of scaling variables have been used to collapse the measured point spectrum [2–4,28].”
• Synthetic Turbulence Generators for RANS-LES Interfaces in Zonal Simulations of Aerodynamic and Aeroacoustic Problems (2014, methodology): “Empirical correlations shown by symbols are from [52–55]”
• Bluff bodies in deep turbulent boundary layers: Reynolds-number issues (2007, background): “This −4/3 dependency is significantly different from the −1 slope normally expected of a regular boundary-layer pressure spectrum in the overlap region between the inertial range and the low-frequency parts of the spectrum (see e.g., Farabee & Casarella 1991; Goody 2004 and references therein).”