Engineering Turbulence Modelling and Experiments 1996
DOI: 10.1016/b978-0-444-82463-9.50020-4
|View full text |Cite
|
Sign up to set email alerts
|

Calculation of oscillating boundary layers with the q-ζ turbulence model

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

1997
1997
2003
2003

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 6 publications
0
2
0
Order By: Relevance
“…The pressure dilatation term is resulted from using Favre-averaging on the square root of turbulence kinetic energy equation that represents in the last term of Equation (9). The model for pressure-dilatation correlation incorporates the effects of the turbulent Reynolds number (Re t ), turbulence Mach number (M t ) and ratio of the production to the dissipation rate of square root of the turbulence kinetic energy (P q /ζ).…”
Section: Pressure Dilatation Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The pressure dilatation term is resulted from using Favre-averaging on the square root of turbulence kinetic energy equation that represents in the last term of Equation (9). The model for pressure-dilatation correlation incorporates the effects of the turbulent Reynolds number (Re t ), turbulence Mach number (M t ) and ratio of the production to the dissipation rate of square root of the turbulence kinetic energy (P q /ζ).…”
Section: Pressure Dilatation Modelmentioning
confidence: 99%
“…8 The results showed that the q-ζ model compared well with the k-ε model in separated flows behind the steps even with the use of coarser calculation mesh. In a further development, Dafa'Alla, et al [9][10] applied the model to boundary layers with periodic variation of free-stream velocity and timemean adverse pressure gradient, and Gibson and Harper 11 calculated the heat transfer from an impinging jet. The predictions compared well with the corresponding experimental data and with the k-ε model, and the q-ζ model was the more economical with coarser grids and less computing time required for convergence compared with the other methods.…”
Section: Introductionmentioning
confidence: 99%