Title: Sensitivity analysis of large-eddy simulations to subgrid-scale-model parametric uncertainty using polynomial chaos
Authors: Lucor, Didier ×
Meyers, Johan
Sagaut, Pierre #
Issue Date: 2007
Publisher: Cambridge Univ. Press
Series Title: Journal of Fluid Mechanics vol:585 pages:255-279
Abstract: We address the sensitivity of large-eddy simulations (LES) to parametric uncertainty in the subgrid-scale model. More specifically, we investigate the sensitivity of the LES statistical moments of decaying homogeneous isotropic turbulence to the uncertainty in the Smagorinsky model free parameter Cs (i.e. the Smagorinsky constant). Our sensitivity methodology relies on the non-intrusive approach of the generalized Polynomial Chaos (gPC) method; the gPC is a spectral non-statistical numerical method well-suited to representing random processes not restricted to Gaussian fields. The analysis is carried out at Reλ, =, 100 and for different grid resolutions and Cs distributions. Numerical predictions are also compared to direct numerical simulation evidence. We have shown that the different turbulent scales of the LES solution respond differently to the variability in Cs. In particular, the study of the relative turbulent kinetic energy distributions for different Cs distributions indicates that small scales are mainly affected by changes in the subgrid-model parametric uncertainty.
ISSN: 0022-1120
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Applied Mechanics and Energy Conversion Section
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
Lucor_Meyers_Sagaut_JFM585.pdf Published 514KbAdobe PDFView/Open


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science