k-zeta (enstrophy) compressible turbulence model for mixing layers and wall bounded flows

AIAA Journal ◽  
1997 ◽  
Vol 35 ◽  
pp. 1221-1224
Author(s):  
G. A. Alexopoulos ◽  
H. A. Hassan
Keyword(s):  
Turbulence Model ◽  
Mixing Layers ◽  
Compressible Turbulence ◽  
Wall Bounded Flows

Model for compressible turbulence in hypersonic wall boundary and high-speed mixing layers

AIAA Journal ◽  
1994 ◽  
Vol 32 (7) ◽  
pp. 1531-1533 ◽  
Author(s):  
Rodney D. W. Bowersox ◽  
Joseph A. Schetz
Keyword(s):  
High Speed ◽  
Mixing Layers ◽  
Compressible Turbulence ◽  
Wall Boundary

Grid Influence on Turbulence Model Coefficient Uncertainties in Transonic Wall-Bounded Flows

AIAA Journal ◽  
2018 ◽  
Vol 56 (8) ◽  
pp. 3123-3137 ◽  
Author(s):  
John Schaefer ◽  
Andrew Cary ◽  
Mori Mani ◽  
Joshua Krakos ◽  
Serhat Hosder
Keyword(s):  
Turbulence Model ◽  
Model Coefficient ◽  
Wall Bounded Flows

scholarly journals Comparative Study of Three High Order Schemes for LES of Temporally Evolving Mixing Layers

2012 ◽  
Vol 12 (5) ◽  
pp. 1603-1622 ◽  
Author(s):  
Helen C. Yee ◽  
Bjorn Sjögreen ◽  
Abdellah Hadjadj
Keyword(s):  
High Order ◽  
Mixing Layers ◽  
Compressible Turbulence ◽  
Filter Method ◽  
Eighth Order ◽  
Base Scheme ◽  
High Order Schemes ◽  
Supersonic Regime ◽  
Seventh Order ◽  
Fifth Order

AbstractThree high order shock-capturing schemes are compared for large eddy simulations (LES) of temporally evolving mixing layers for different convective Mach numbers ranging from the quasi-incompressible regime to highly compressible supersonic regime. The considered high order schemes are fifth-order WENO (WENO5), seventh-order WENO (WENO7) and the associated eighth-order central spatial base scheme with the dissipative portion of WENO7 as a nonlinear post-processing filter step (WENO7fi). This high order nonlinear filter method of Yee & Sjögreen is designed for accurate and efficient simulations of shock-free compressible turbulence, turbulence with shocklets and turbulence with strong shocks with minimum tuning of scheme parameters. The LES results by WENO7fi using the same scheme parameter agree well with experimental results compiled by Barone et al., and published direct numerical simulations (DNS) work of Rogers & Moser and Pantano & Sarkar, whereas results by WENO5 and WENO7 compare poorly with experimental data and DNS computations.

scholarly journals On the compressibility effects in mixing layers

2016 ◽  
Vol 20 (5) ◽  
pp. 1473-1484
Author(s):  
Hechmi Khlifi ◽  
Taieb Lili
Keyword(s):  
High Speed ◽  
Compressible Flows ◽  
Mixing Layers ◽  
The Other ◽  
Compressible Turbulence ◽  
The Past ◽  
Main Indicator ◽  
Proposed Model ◽  
Precise Prediction ◽  
Compressibility Effects

Previous studies of compressible flows carried out in the past few years have shown that the pressure-strain is the main indicator of the structural compressibility effects. Undoubtedly, this terms plays a key role toward strongly changing magnitude of the turbulent Reynolds stress anisotropy. On the other hand, the incompressible models of the pressure-strain correlation have not correctly predicted compressible turbulence at high speed shear flow. Consequently, a correction of these models is needed for precise prediction of compressibility effects. In the present work, a compressibility correction of the widely used incompressible Launder Reece and Rodi model making their standard coefficients dependent on the turbulent and convective Mach numbers is proposed. The ability of the model to predict the developed mixing layers in different cases from experiments of Goebel and Dutton is examined. The predicted results with the proposed model are compared with DNS and experimental data and those obtained by the compressible model of Adumitroiae et al. and the original LRR model. The results show that the essential compressibility effects on mixing layers are well captured by the proposed model.

Development of k-R turbulence model for wall-bounded flows

2020 ◽  
Vol 98 ◽  
pp. 105681
Author(s):  
Yang Zhang ◽  
Md Mizanur Rahman ◽  
Gang Chen
Keyword(s):  
Turbulence Model ◽  
Wall Bounded Flows
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