TY - GEN
T1 - A-priori study of wall modeling in large eddy simulation
AU - Rezaeiravesh, S.
AU - Mukha, T.
AU - Liefvendahl, M.
N1 - Publisher Copyright:
Copyright © Crown copyright (2018).All right reserved.
PY - 2020
Y1 - 2020
N2 - The velocity signal of a high quality wall-resolving large eddy simulation (WRLES) of fully-developed turbulent channel flow at Reτ = 1000 is spatially averaged over cubic boxes of size corresponding to possible choices for grid-cell size in a wall-modeled (WM)LES of the same flow. Two box sizes are considered, as well as multiple wall-normal locations of the center of the box. After applying filtering in time, the generated velocity signals are used to study algebraic wall models with respect to their ability to accurately predict the wall shear stress, τ¯w. In particular, models based on the Spalding and Reichardt laws are examined. The sensitivity of τ¯w with respect to the wall-normal distance of the velocity sampling point, h, the wall model and its parameters, and also to the resolution of the WMLES grid is addressed. It is shown that by using wall models with the parameters calibrated to fit the WRLES mean velocity profiles, the mean of the wall shear stress can be accurately predicted, however, no improvement for the fluctuations of this quantity is achieved. To avoid dependence of the mean predicted τ¯w on h, an integrated formulation of algebraic wall models is proposed and applied to Reichardt law, leading to improved results. Finally, an idea is described and examined to increase the correlation between the predicted τ¯w and reference wall shear stress through dynamically adjusting the wall model parameters. To facilitate similar studies, the generated datasets for a-priori study of WMLES are made publicly available.
AB - The velocity signal of a high quality wall-resolving large eddy simulation (WRLES) of fully-developed turbulent channel flow at Reτ = 1000 is spatially averaged over cubic boxes of size corresponding to possible choices for grid-cell size in a wall-modeled (WM)LES of the same flow. Two box sizes are considered, as well as multiple wall-normal locations of the center of the box. After applying filtering in time, the generated velocity signals are used to study algebraic wall models with respect to their ability to accurately predict the wall shear stress, τ¯w. In particular, models based on the Spalding and Reichardt laws are examined. The sensitivity of τ¯w with respect to the wall-normal distance of the velocity sampling point, h, the wall model and its parameters, and also to the resolution of the WMLES grid is addressed. It is shown that by using wall models with the parameters calibrated to fit the WRLES mean velocity profiles, the mean of the wall shear stress can be accurately predicted, however, no improvement for the fluctuations of this quantity is achieved. To avoid dependence of the mean predicted τ¯w on h, an integrated formulation of algebraic wall models is proposed and applied to Reichardt law, leading to improved results. Finally, an idea is described and examined to increase the correlation between the predicted τ¯w and reference wall shear stress through dynamically adjusting the wall model parameters. To facilitate similar studies, the generated datasets for a-priori study of WMLES are made publicly available.
KW - Algebraic wall models
KW - Large eddy simulation
KW - Wall modeling
UR - https://www.scopus.com/pages/publications/85064281834
M3 - Conference contribution
AN - SCOPUS:85064281834
T3 - Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018
SP - 290
EP - 301
BT - Proceedings of the 6th European Conference on Computational Mechanics
A2 - Owen, Roger
A2 - de Borst, Rene
A2 - Reese, Jason
A2 - Pearce, Chris
PB - International Centre for Numerical Methods in Engineering, CIMNE
T2 - 6th ECCOMAS European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th ECCOMAS European Conference on Computational Fluid Dynamics, ECFD 2018
Y2 - 11 June 2018 through 15 June 2018
ER -