Imperial College London

ProfessorSylvainLaizet

Faculty of EngineeringDepartment 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

 

Summary

I am a professor in the Department of Aeronautics at Imperial College London (ICL). I hold a PhD and a Habilitation à Diriger des Recherches from the University of Poitiers in France in the field of Computational Fluid Dynamics (CFD) applied to turbulence. 

Understanding turbulent flows and how to use them in various engineering applications is the motivation behind my research. With my collaborators at Imperial College, in France and in Brazil, we develop high-order finite-difference highly-scalable flow solvers dedicated to turbulent flows. 


https://github.com/xcompact3d

https://www.xcompact3d.com

https://www.turbulencesimulation.com/


Within the turbulence simulation group, we are currently investigating wake-to-wake interaction in wind farms, Bayesian optimisation techniques for drag reduction and energy saving, active control solutions of free shear flows, immersed boundary methods for moving objects, neural networks applied to computational fluid dynamics and particle-laden gravity currents. Finally, we are looking at the potential of quantum algorithms for CFD.

Publications

Journals

Bempedelis N, Gori F, Wynn A, et al., 2024, Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations, Wind Energy Science, ISSN:2366-7443

O'Connor J, Laizet S, Wynn A, et al., 2024, Quantifying uncertainties in direct numerical simulations of a turbulent channel flow, Computers and Fluids, Vol:268, ISSN:0045-7930

Rolfo S, Flageul C, Bartholomew P, et al., 2023, The 2DECOMP&FFT library: an update with new CPU/GPU capabilities, Journal of Open Source Software, Vol:8, ISSN:2475-9066

Girayhan Ozbay A, Laizet S, 2023, FR3D: Three-dimensional flow reconstruction and force estimation for unsteady flows around extruded bluff bodies via conformal mapping aided convolutional autoencoders, International Journal of Heat and Fluid Flow, Vol:103, ISSN:0142-727X, Pages:1-15

Mays M, Lardeau S, Laizet S, 2023, Capturing the drag crisis in the flow around a smooth cylinder using a hybrid RANS-LES model on coarse meshes, International Journal of Heat and Fluid Flow, Vol:103, ISSN:0142-727X, Pages:1-14

More Publications