The University of Southampton
University of Southampton Institutional Repository

Wall pressure and shear stress spectra from direct numerical simulations of channel flow

Wall pressure and shear stress spectra from direct numerical simulations of channel flow
Wall pressure and shear stress spectra from direct numerical simulations of channel flow
Wall pressure and shear stress spectra from direct numerical simulations of turbulent plane channel flow are presented in this paper. Simulations have been carried out at a series of Reynolds numbers up to Re? = 1440, which corresponds to Re = 6:92 x 10(4) based on channel width and centerline velocity. Single-point and two-point statistics for velocity, pressure, and their derivatives have been collected, including velocity moments up to fourth order.§ The results have been used to study the Reynolds number dependence of wall pressure and shear stress spectra.
It is found that the point spectrum of wall pressure collapses for Re? ? 360 under a mixed scaling for frequencies lower than the peak frequency of the frequency-weighted spectrum, and under viscous scaling for frequencies higher than the peak. Point spectra of wall shear stress components are found to collapse for Re? ? 360 under viscous scaling. The normalized mean square wall pressure increases linearly with the logarithm of Reynolds number. The rms wall shear stresses also increase with Reynolds number over the present range, but suggest some leveling off at high Reynolds number.
0001-1452
1541-1549
Hu, Z.W.
dd985844-1e6b-44ba-9e1d-fa57c6c88d65
Morfey, C.L.
d5f9a8d0-7d8a-4915-a522-bf49dee111f2
Sandham, N.D.
0024d8cd-c788-4811-a470-57934fbdcf97
Hu, Z.W.
dd985844-1e6b-44ba-9e1d-fa57c6c88d65
Morfey, C.L.
d5f9a8d0-7d8a-4915-a522-bf49dee111f2
Sandham, N.D.
0024d8cd-c788-4811-a470-57934fbdcf97

Hu, Z.W., Morfey, C.L. and Sandham, N.D. (2006) Wall pressure and shear stress spectra from direct numerical simulations of channel flow. AIAA Journal, 44 (7), 1541-1549. (doi:10.2514/1.17638).

Record type: Article

Abstract

Wall pressure and shear stress spectra from direct numerical simulations of turbulent plane channel flow are presented in this paper. Simulations have been carried out at a series of Reynolds numbers up to Re? = 1440, which corresponds to Re = 6:92 x 10(4) based on channel width and centerline velocity. Single-point and two-point statistics for velocity, pressure, and their derivatives have been collected, including velocity moments up to fourth order.§ The results have been used to study the Reynolds number dependence of wall pressure and shear stress spectra.
It is found that the point spectrum of wall pressure collapses for Re? ? 360 under a mixed scaling for frequencies lower than the peak frequency of the frequency-weighted spectrum, and under viscous scaling for frequencies higher than the peak. Point spectra of wall shear stress components are found to collapse for Re? ? 360 under viscous scaling. The normalized mean square wall pressure increases linearly with the logarithm of Reynolds number. The rms wall shear stresses also increase with Reynolds number over the present range, but suggest some leveling off at high Reynolds number.

Full text not available from this repository.

More information

Published date: July 2006
Organisations: Aerodynamics & Flight Mechanics

Identifiers

Local EPrints ID: 38184
URI: https://eprints.soton.ac.uk/id/eprint/38184
ISSN: 0001-1452
PURE UUID: 32a2c5c4-ccc0-4a60-90c3-70dbf5d60f7c
ORCID for N.D. Sandham: ORCID iD orcid.org/0000-0002-5107-0944

Catalogue record

Date deposited: 06 Jun 2006
Last modified: 15 Aug 2019 00:50

Export record

Altmetrics

Contributors

Author: Z.W. Hu
Author: C.L. Morfey
Author: N.D. Sandham ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×