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, Laizet S, 2021, A simple and scalable Immersed Boundary Method for high-fidelity simulations of fixed and moving objects on a Cartesian mesh, Applied Mathematical Modelling: Simulation and Computation for Engineering and Environmental Systems, Vol:99, ISSN:0307-904X, Pages:606-627

Mahfoze O, Laizet S, 2021, Non-explicit Large Eddy Simulations of turbulent channel flows from Reτ= 180 up to Reτ= 5,200, Computers and Fluids, Vol:228, ISSN:0045-7930, Pages:1-19

Hamzehloo A, Lusher D, Laizet S, et al., 2021, Direct numerical simulation of compressible turbulence in acounter-flow channel configuration, Physical Review Fluids, ISSN:2469-990X

Khojasteh AR, Yang Y, Heitz D, et al., 2021, Lagrangian coherent track initialisation, Physics of Fluids, ISSN:1070-6631

Özbay AG, Hamzehloo A, Laizet S, et al., 2021, Poisson CNN: Convolutional neural networks for the solution of the Poisson equation on a Cartesian mesh, Data-centric Engineering, Vol:2, ISSN:2632-6736, Pages:1-31

More Publications