2018
DOI: 10.1063/1.5030859
|View full text |Cite
|
Sign up to set email alerts
|

Extended integral wall-model for large-eddy simulations of compressible wall-bounded turbulent flows

Abstract: all-modeling is required to make large-eddy simulations of high-Reynolds number wall-bounded turbulent flows feasible in terms of computational cost. Here, an extension of the integral wall-model for large-eddy simulations (iWMLESs) for incompressible flows developed by Yang et al. ["Integral wall model for large eddy simulations of wall-bounded turbulent flows," Phys. Fluids 27(2), 025112 (2015)] to compressible and isothermal flows is proposed and assessed. The iWMLES approach is analogous to the von KármÍ

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
13
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 31 publications
(13 citation statements)
references
References 87 publications
0
13
0
Order By: Relevance
“…Nonequilibrium wall models that do not need PDE solvers for the full RANS equations would be advantageous as they would not need to deal with accounting for the resolved Reynolds stresses and would not need additional grid generation. There are a few other wall models, like the integral wall model by Yang et al [85] and its compressible extension (Catchirayer et al [15]) which try to account for some of the non-equilibrium terms using a set of parameterized velocity and temperature profiles. The wall model by Komives et al [45] tries to incorporate some of the non-equilibrium effects by adding source terms from the LES in combination with the SA-RANS turbulence model.…”
Section: Wall-stress Modeling Methodsmentioning
confidence: 99%
“…Nonequilibrium wall models that do not need PDE solvers for the full RANS equations would be advantageous as they would not need to deal with accounting for the resolved Reynolds stresses and would not need additional grid generation. There are a few other wall models, like the integral wall model by Yang et al [85] and its compressible extension (Catchirayer et al [15]) which try to account for some of the non-equilibrium terms using a set of parameterized velocity and temperature profiles. The wall model by Komives et al [45] tries to incorporate some of the non-equilibrium effects by adding source terms from the LES in combination with the SA-RANS turbulence model.…”
Section: Wall-stress Modeling Methodsmentioning
confidence: 99%
“…Improvements have been proposed, to take into account non-equilibrium effects (Kawai and Larsson [39] , Park and Moin [49] ), or a pressure gradient (Afzal [2] , Duprat et al [21] ). Wall-modeling for LES is still to this day an on-going research topic (Yang et al [76,77] , Catchirayer et al [12] , Bae et al [9] ), reviews of wall-modeled LES may be found in Piomelli and Balaras [53] , Piomelli [52] , Larsson et al [41] , Bose and Park [11] . Similar to RANS/LES or DES approaches, wall-modeling techniques have enabled a growing literature devoted to turbomachinery LES, as detailed in reviews by Flohr and HÃl [23] , Dufour et al [20] , Sagaut [57] , Gourdain et al [33] , Tucker et al [68][69][70] .…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, the PDE Integral wall model with its already proven cost-effectiveness over differentialcomplexity models, is approached in this study from the perspective of the strategy and the challenges associated with its implementation in an unstructured-grid cell-centered finite-volume LES solver. It should be noted that the original formulation of this model by Yang et al [13] was implemented in a structured-grid finite-difference/spectral solver, and a later extension of the model to the compressible flows by Catchirayer et al [16] employed a finite-volume structured-grid solver. This makes the present study the first effort in the extension of this method to more versatile unstructured-grid, finite-volume LES solvers, which are frequently and preferably used in the industry and the research community alike, due to their ability to handle complex geometries.…”
Section: Introductionmentioning
confidence: 99%