Large-eddy simulation of wall bounded shear flow using the nonlinear disturbance equations

Thomas S. Chyczewski, Philip J. Morris, Lyle N. Long

Research output: Contribution to conferencePaperpeer-review

5 Scopus citations

Abstract

The potential benefits of using the Nonlinear Disturbance (NLD) equations, which govern flow variable fluctuations about an estimated mean, for the large-eddy simulation (LES) of wall bounded shear flows are investigated in this paper. In addition to verifying the suitability of the NLD equations for wall bounded flows, we build upon its advantages by introducing a new wall model that is easily and efficiently implemented within the NLD equation framework. The model implementation consists of defining a near wall region in which a modified linear set of equations arc solved. The linear equation set allows disturbances to pass through and interact with the wall without altering the estimated mean. The streamwise and spanwise grid resolution of this near wall region can therefore be significantly relaxed while maintaining reasonable mean quantities such as skin friction. Comparisons of predicted turbulence intensity profiles and wall pressure spectra to experimental data for a fully developed turbulent flat plate boundary layer are used to verify the suitability of the NLD equations for wall bounded flows. Preliminary results of a turbulent channel flow simulation are also presented to assess the new wall model.

Original languageEnglish (US)
DOIs
StatePublished - 2000
Event6th Aeroacoustics Conference and Exhibit, 2000 - Lahaina, HI, United States
Duration: Jun 12 2000Jun 14 2000

Other

Other6th Aeroacoustics Conference and Exhibit, 2000
Country/TerritoryUnited States
CityLahaina, HI
Period6/12/006/14/00

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Acoustics and Ultrasonics

Fingerprint

Dive into the research topics of 'Large-eddy simulation of wall bounded shear flow using the nonlinear disturbance equations'. Together they form a unique fingerprint.

Cite this