Estimating turbulent-boundary-layer wall-pressure spectra from CFD RANS solutions

L. J. Peltier, S. A. Hambric

Research output: Contribution to journalArticle

40 Citations (Scopus)

Abstract

A stochastic model for the space-time turbulent boundary-layer wall-pressure spectrum is developed that uses statistical data from Reynolds-Averaged Navier-Stokes (RANS) solutions as input. The model integrates the source terms for the surface-pressure covariance across the boundary layer for user-specified space and time separations to form a discrete surface-pressure correlation function, the Fourier transform of which yields the surface-pressure wavenumber-frequency spectrum. By integrating RANS data into the model, it is able to respond to local geometry and flow conditions. Validation cases show that predicted surface-pressure power spectra respond appropriately to favorable, zero, and adverse pressure gradients. By operating as a post-processor of CFD RANS analyses, the model is a predictive tool that can be used in flow and flow-induced noise analyses. Because contemporary RANS models are able to predict flow statistics well for configurations of practical interest, this approach to modeling the turbulent boundary-layer forcing function is expected to generalize well to new flow configurations without requiring flow-specific tuning.

Original languageEnglish (US)
Pages (from-to)920-937
Number of pages18
JournalJournal of Fluids and Structures
Volume23
Issue number6
DOIs
StatePublished - Aug 1 2007

Fingerprint

Computational fluid dynamics
Boundary layers
Stochastic models
Power spectrum
Pressure gradient
Fourier transforms
Tuning
Statistics
Geometry

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

Cite this

@article{cc5da14ee2ff4781b59515868f373a90,
title = "Estimating turbulent-boundary-layer wall-pressure spectra from CFD RANS solutions",
abstract = "A stochastic model for the space-time turbulent boundary-layer wall-pressure spectrum is developed that uses statistical data from Reynolds-Averaged Navier-Stokes (RANS) solutions as input. The model integrates the source terms for the surface-pressure covariance across the boundary layer for user-specified space and time separations to form a discrete surface-pressure correlation function, the Fourier transform of which yields the surface-pressure wavenumber-frequency spectrum. By integrating RANS data into the model, it is able to respond to local geometry and flow conditions. Validation cases show that predicted surface-pressure power spectra respond appropriately to favorable, zero, and adverse pressure gradients. By operating as a post-processor of CFD RANS analyses, the model is a predictive tool that can be used in flow and flow-induced noise analyses. Because contemporary RANS models are able to predict flow statistics well for configurations of practical interest, this approach to modeling the turbulent boundary-layer forcing function is expected to generalize well to new flow configurations without requiring flow-specific tuning.",
author = "Peltier, {L. J.} and Hambric, {S. A.}",
year = "2007",
month = "8",
day = "1",
doi = "10.1016/j.jfluidstructs.2007.01.003",
language = "English (US)",
volume = "23",
pages = "920--937",
journal = "Journal of Fluids and Structures",
issn = "0889-9746",
publisher = "Academic Press Inc.",
number = "6",

}

Estimating turbulent-boundary-layer wall-pressure spectra from CFD RANS solutions. / Peltier, L. J.; Hambric, S. A.

In: Journal of Fluids and Structures, Vol. 23, No. 6, 01.08.2007, p. 920-937.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Estimating turbulent-boundary-layer wall-pressure spectra from CFD RANS solutions

AU - Peltier, L. J.

AU - Hambric, S. A.

PY - 2007/8/1

Y1 - 2007/8/1

N2 - A stochastic model for the space-time turbulent boundary-layer wall-pressure spectrum is developed that uses statistical data from Reynolds-Averaged Navier-Stokes (RANS) solutions as input. The model integrates the source terms for the surface-pressure covariance across the boundary layer for user-specified space and time separations to form a discrete surface-pressure correlation function, the Fourier transform of which yields the surface-pressure wavenumber-frequency spectrum. By integrating RANS data into the model, it is able to respond to local geometry and flow conditions. Validation cases show that predicted surface-pressure power spectra respond appropriately to favorable, zero, and adverse pressure gradients. By operating as a post-processor of CFD RANS analyses, the model is a predictive tool that can be used in flow and flow-induced noise analyses. Because contemporary RANS models are able to predict flow statistics well for configurations of practical interest, this approach to modeling the turbulent boundary-layer forcing function is expected to generalize well to new flow configurations without requiring flow-specific tuning.

AB - A stochastic model for the space-time turbulent boundary-layer wall-pressure spectrum is developed that uses statistical data from Reynolds-Averaged Navier-Stokes (RANS) solutions as input. The model integrates the source terms for the surface-pressure covariance across the boundary layer for user-specified space and time separations to form a discrete surface-pressure correlation function, the Fourier transform of which yields the surface-pressure wavenumber-frequency spectrum. By integrating RANS data into the model, it is able to respond to local geometry and flow conditions. Validation cases show that predicted surface-pressure power spectra respond appropriately to favorable, zero, and adverse pressure gradients. By operating as a post-processor of CFD RANS analyses, the model is a predictive tool that can be used in flow and flow-induced noise analyses. Because contemporary RANS models are able to predict flow statistics well for configurations of practical interest, this approach to modeling the turbulent boundary-layer forcing function is expected to generalize well to new flow configurations without requiring flow-specific tuning.

UR - http://www.scopus.com/inward/record.url?scp=34547130552&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34547130552&partnerID=8YFLogxK

U2 - 10.1016/j.jfluidstructs.2007.01.003

DO - 10.1016/j.jfluidstructs.2007.01.003

M3 - Article

AN - SCOPUS:34547130552

VL - 23

SP - 920

EP - 937

JO - Journal of Fluids and Structures

JF - Journal of Fluids and Structures

SN - 0889-9746

IS - 6

ER -