TY - JOUR
T1 - Numerical simulation of viscosity/implicit largeeddy steady turbulence with the Reynolds number dependency
AU - Iwata, Naoyuki
AU - Suzuki, Hiroki
AU - Mochizuki, Shinsuke
N1 - Funding Information:
This work was supported in part by the Japanese Ministry of Education, Culture, Sports, Science and Technology through Grants-in-Aid (Nos. 20H02069 and 21K03859). This work was supported (in part) by Grant for Environmental Research Projects from The Sumitomo Foundation.
Publisher Copyright:
© 2021 Institute of Physics Publishing. All rights reserved.
PY - 2021/10/25
Y1 - 2021/10/25
N2 - This study presents a numerical analysis that models small scale turbulence using numerical viscosity or implicit large-eddy simulation (LES). The motivation for focusing on these models is that the sub-grid scale components of LES are assumed to have a sufficiently high Reynolds number turbulence. The Reynolds number dependence of steady isotropic turbulence is used to validate the present analysis. Here, this dependency ranges from low to high Reynolds numbers. The results of this analysis are validated by comparing them with those of direct numerical simulation. The donor cell method and quick method are used as schemes of the numerical viscosity. Analysis based on the numerical viscosity can give accurate turbulent kinetic energy values at high Reynolds numbers and implicit LES at low Reynolds numbers. However, these models did not accurately predict static pressure fluctuations. These results were discussed by visualizing the large-scale turbulent structures.
AB - This study presents a numerical analysis that models small scale turbulence using numerical viscosity or implicit large-eddy simulation (LES). The motivation for focusing on these models is that the sub-grid scale components of LES are assumed to have a sufficiently high Reynolds number turbulence. The Reynolds number dependence of steady isotropic turbulence is used to validate the present analysis. Here, this dependency ranges from low to high Reynolds numbers. The results of this analysis are validated by comparing them with those of direct numerical simulation. The donor cell method and quick method are used as schemes of the numerical viscosity. Analysis based on the numerical viscosity can give accurate turbulent kinetic energy values at high Reynolds numbers and implicit LES at low Reynolds numbers. However, these models did not accurately predict static pressure fluctuations. These results were discussed by visualizing the large-scale turbulent structures.
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U2 - 10.1088/1742-6596/2047/1/012007
DO - 10.1088/1742-6596/2047/1/012007
M3 - Conference article
AN - SCOPUS:85119300822
VL - 2047
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012007
T2 - 4th International Conference on Material Strength and Applied Mechanics, MSAM 2021
Y2 - 16 August 2021 through 19 August 2021
ER -