Imperial College London

DrSylvainLaizet

Faculty of EngineeringDepartment of Aeronautics

Reader 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 reader 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.

Publications

Journals

Giannenas A, Bempedelis N, Schuch F, et al., 2022, A Cartesian immersed boundary method based on 1D flow reconstructions for high-fidelity simulations of incompressible turbulent flows around moving objects, Flow, Turbulence and Combustion, ISSN:0003-6994

Giannenas A, Laizet S, Rigas G, 2022, Harmonic forcing of a laminar bluff body wake with rear pitching flaps, Journal of Fluid Mechanics, Vol:945, ISSN:0022-1120

Hodgkin A, Laizet S, Deskos G, 2022, Numerical investigation of the influence of shear and thermal stratification on the wind turbine tip-vortex stability, Wind Energy, Vol:25, ISSN:1095-4244, Pages:1270-1289

Ozbay A, Laizet S, 2022, Deep learning fluid flow reconstruction around arbitrary two-dimensional objects from sparse sensors using conformal mappings, Aip Advances, Vol:12, ISSN:2158-3226

Conference

Hodgkin A, Laizet S, Deskos G, 2022, Do ambient shear and thermal stratification impact wind turbine tip-vortex breakdown?, ISSN:1742-6588

More Publications