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{Voet:2021:10.1016/j.apm.2020.07.056,
author = {Voet, L and Ahlfeld, R and Gaymann, A and Laizet, S and Montomoli, F},
doi = {10.1016/j.apm.2020.07.056},
journal = {Applied Mathematical Modelling: simulation and computation for engineering and environmental systems},
pages = {885--906},
title = {A hybrid approach combining DNS and RANS simulations to quantify uncertainties in turbulence modelling},
url = {http://dx.doi.org/10.1016/j.apm.2020.07.056},
volume = {89},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Uncertainty quantification (UQ) has recently become an important part of the design process of countless engineering applications. However, up to now in computational fluid dynamics (CFD) the errors introduced by the turbulent viscosity models in Reynolds-Averaged Navier Stokes (RANS) models have often been neglected in UQ studies. Although Direct Numerical Simulations (DNS) are physically correct, obtaining a large enough set of DNS data for UQ studies is currently computationally intractable. UQ based only on RANS simulations or on DNS thus leads to physical and statistical inaccuracies in the output probability distribution functions (PDF). Therefore, three hybrid methods combining both RANS simulations and DNS to perform non-intrusive UQ are suggested in this work. Low-fidelity RANS simulations and high-fidelity DNS are combined to give an approximation of an output PDF using the advantages of both data sets: the physical accuracy via the DNS and the statistical accuracy via the RANS simulations. The hybrid methods are applied to the flow over 2D periodically arranged hills. It is shown that the Gaussian CoKriging (GCK) method is the best hybrid method and that a non-intrusive hybrid UQ approach combining both DNS and RANS simulations is possible, with both physically more accurate and statistically better PDF.
AU  - Voet,L
AU  - Ahlfeld,R
AU  - Gaymann,A
AU  - Laizet,S
AU  - Montomoli,F
DO  - 10.1016/j.apm.2020.07.056
EP  - 906
PY  - 2021///
SN  - 0307-904X
SP  - 885
TI  - A hybrid approach combining DNS and RANS simulations to quantify uncertainties in turbulence modelling
T2  - Applied Mathematical Modelling: simulation and computation for engineering and environmental systems
UR  - http://dx.doi.org/10.1016/j.apm.2020.07.056
UR  - https://www.sciencedirect.com/science/article/pii/S0307904X20304212?via%3Dihub
UR  - http://hdl.handle.net/10044/1/82122
VL  - 89
ER  -
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