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Numerical scale separation in large-eddy simulation

Verstappen, R. W. C. P. and Rozema, W. and Bae, H. J. (2014) Numerical scale separation in large-eddy simulation. In: Studying Turbulence Using Numerical Simulation Databases - XV. Stanford University , Stanford, CA, pp. 417-426. https://resolver.caltech.edu/CaltechAUTHORS:20210326-095748691

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Abstract

Large-eddy simulation (LES) seeks to predict the dynamics of spatially filtered turbulent flows. The essence of a scale-separation LES model is that it stops the nonlinear production of smaller scales of motion at the scale set by the filter: there the modeled eddy dissipation has to balance the production. Numerical discretization changes both the nonlinear production and dissipation of sub-filter scales. Therefore, the discrete balance between production and dissipation can deviate from the continuous balance, in particular if a balance is imposed near the scale set by the numerical grid. This paper demonstrates that a scale-separation LES model should attain a production-dissipation balance in the numerical setting. Eddy-viscosity models based on this requirement are derived and successfully applied in simulations of decaying isotropic turbulence and channel flow.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://web.stanford.edu/group/ctr/Summer/SP14/09_Large-eddy_simulation/06_verstappen.pdfOrganizationPaper
ORCID:
AuthorORCID
Verstappen, R. W. C. P.0000-0001-8565-6188
Bae, H. J.0000-0001-6789-6209
Additional Information:The authors kindly acknowledge Guillaume Balarac and Antoine Vollant for performing spectral simulations with the qr model during the Summer Program.
Group:GALCIT
Record Number:CaltechAUTHORS:20210326-095748691
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210326-095748691
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:108566
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:30 Mar 2021 22:07
Last Modified:30 Mar 2021 22:07

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