Imperial College London
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ProfessorSylvainLaizet

Faculty of Engineering, Department of Aeronautics

Professor in Computational Fluid Mechanics
 
 
 
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Contact

 

+44 (0)20 7594 5045s.laizet Website

 
 
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Location

 

339City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Laizet:2018:10.1016/j.compfluid.2018.04.001,
author = {Laizet, S and Chandramouli, P and Heitz, D and Mémin, E},
doi = {10.1016/j.compfluid.2018.04.001},
journal = {Computers and Fluids},
pages = {170--189},
title = {Coarse large-eddy simulations in a transitional wake flow with flow models under location uncertainty},
url = {http://dx.doi.org/10.1016/j.compfluid.2018.04.001},
volume = {168},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The focus of this paper is to perform coarse-grid large-eddy simulation (LES) using recently developed sub-grid scale (SGS) models of cylinder wake flow at Reynolds number (Re) of 3900. As we approach coarser resolutions, a drop in accuracy is noted for all LES models but more importantly, the numerical stability of classical models is called into question. The objective is to identify a statistically accurate, stable sub-grid scale (SGS) model for this transitional flow at a coarse resolution. The proposed new models under location uncertainty (MULU) are applied in a deterministic coarse LES context and the statistical results are compared with variants of the Smagorinsky model and various reference data-sets (both experimental and Direct Numerical Simulation (DNS)). MULU are shown to better estimate statistics for coarse resolution (at 0.46% the cost of a DNS) while being numerically stable. The performance of the MULU is studied through statistical comparisons, energy spectra, and sub-grid scale (SGS) contributions. The physics behind the MULU are characterised and explored using divergence and curl functions. The additional terms present (velocity bias) in the MULU are shown to improve model performance. The spanwise periodicity observed at low Reynolds is achieved at this moderate Reynolds number through the curl function, in coherence with the birth of streamwise vortices.
AU  - Laizet,S
AU  - Chandramouli,P
AU  - Heitz,D
AU  - Mémin,E
DO  - 10.1016/j.compfluid.2018.04.001
EP  - 189
PY  - 2018///
SN  - 0045-7930
SP  - 170
TI  - Coarse large-eddy simulations in a transitional wake flow with flow models under location uncertainty
T2  - Computers and Fluids
UR  - http://dx.doi.org/10.1016/j.compfluid.2018.04.001
UR  - http://hdl.handle.net/10044/1/58840
VL  - 168
ER  -
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