Biography: Spencer Sherwin is Head of Aerodynamics and Professor of Computational Fluid Mechanics in the Department of Aeronautics and Director of Research Computing Service at Imperial College London. He received his MSE and PhD from the Department of Mechanical and Aerospace Engineering Department at Princeton University. Prior to this he received his BEng from the Department of Aeronautics at Imperial College London.
Group web page: www.sherwinlab.info
Research: Professor Sherwin leads an active research group specializing in the development and application of parallel high order spectral/hp element methods (Nektar ) for flow around complex geometries with a particular emphasis on vortical and bluff body flows and biomedical modelling of the cardiovascular system. More recently, he has been closely involved in industrial application of these methods through partnerships with McLaren Racing, Airbus and Rolls Royce. Recently he completed a RAEng/McLaren Racing Fellowship during which spectral/hp element methods were applied to problems of interest of Formula One aerodynamics that promoted the development of wall resolving large eddy simulation capabilities for highly unsteady and separated flows
Other Activities: Currently Professor Sherwin is Principal Investigator on the EPSRC funded Platform for Research In Simulation Methods. Professor Sherwin is also the academic lead to the Joint PhD programme with the University of São Paulo.
et al., 2019, Flow over a symmetrically curved circular cylinder with the free stream parallel to the plane of curvature at low Reynolds number, Journal of Fluids and Structures, Vol:87, ISSN:0889-9746, Pages:23-38
et al., 2019, Numerical prediction of vortex-induced vibration of flexible riser with thick strip method, Journal of Fluids and Structures, ISSN:0889-9746
et al., 2019, Turbulence in a Localized Puff in a Pipe, Flow, Turbulence and Combustion, ISSN:1386-6184
et al., 2018, A comparative study on polynomial dealiasing and split form discontinuous Galerkin schemes for under-resolved turbulence computations, Journal of Computational Physics, Vol:372, ISSN:0021-9991, Pages:1-21