Imperial College London

ProfessorJohn ChristosVassilicos

Faculty of EngineeringDepartment of Aeronautics

Visiting Professor
 
 
 
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Contact

 

+44 (0)20 7594 5137j.c.vassilicos

 
 
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Assistant

 

Miss Jackie O'Neill +44 (0)20 7594 5079

 
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Location

 

CAGB 314City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Dairay:2017:10.1016/j.jcp.2017.02.035,
author = {Dairay, T and Lamballais, E and Laizet, S and Vassilicos, C},
doi = {10.1016/j.jcp.2017.02.035},
journal = {Journal of Computational Physics},
pages = {252--274},
title = {Numerical dissipation vs. subgrid-scale modelling for large eddy simulation},
url = {http://dx.doi.org/10.1016/j.jcp.2017.02.035},
volume = {337},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - This study presents an alternative way to perform large eddy simulation based on a targeted numerical dissipation introduced by the discretization of the viscous term. It is shown that this regularisation technique is equivalent to the use of spectral vanishing viscosity. The flexibility of the method ensures high-order accuracy while controlling the level and spectral features of this purely numerical viscosity. A Pao-like spectral closure based on physical arguments is used to scale this numerical viscosity a priori. It is shown that this way of approaching large eddy simulation is more efficient and accurate than the use of the very popular Smagorinsky model in standard as well as in dynamic version. The main strength of being able to correctly calibrate numerical dissipation is the possibility to regularise the solution at the mesh scale. Thanks to this property, it is shown that the solution can be seen as numerically converged. Conversely, the two versions of the Smagorinsky model are found unable to ensure regularisation while showing a strong sensitivity to numerical errors. The originality of the present approach is that it can be viewed as implicit large eddy simulation, in the sense that the numerical error is the source of artificial dissipation, but also as explicit subgrid-scale modelling, because of the equivalence with spectral viscosity prescribed on a physical basis.
AU - Dairay,T
AU - Lamballais,E
AU - Laizet,S
AU - Vassilicos,C
DO - 10.1016/j.jcp.2017.02.035
EP - 274
PY - 2017///
SN - 0021-9991
SP - 252
TI - Numerical dissipation vs. subgrid-scale modelling for large eddy simulation
T2 - Journal of Computational Physics
UR - http://dx.doi.org/10.1016/j.jcp.2017.02.035
UR - https://www.sciencedirect.com/science/article/pii/S0021999117301298
UR - http://hdl.handle.net/10044/1/44659
VL - 337
ER -