Dr Sergey Karabasov
BSc, MSc, PhD, DSc, FHEA
His work typically combines high-resolution methods (large-eddy simulations, numerical schemes, high-performance computing) with model decomposition approaches (acoustic analogy, integral surface methods, vortex sound theory). In unsteady aerodynamics and aeroacoustics his interests lie in high speed jet noise (mixing noise, shock associated noise, and installation noise), trailing edge noise, and rotating machinery noise (helicopter noise, wind turbine noise, and UAV noise).
In aeroacoustics, he has pioneered the use of Large Eddy Simulations in application to the Goldstein Generalised Acoustic analogy for high-Reynolds jet flows both as the tool to inform physically insightful low order modelling (AIAAJ 2010) and the part of a new volume integral method for predicting the far-field noise and analysing its effective sources in the jet volume from first principles (J.Fluid Mech. 2018).
His other contributions include development of the perturbed nonlinear Euler method for transonic helicopter noise modelling (AIAAJ 2005), an improved low-order noise prediction scheme for Broad Band Shock Associated Noise based on acoustic analogy and the mixed scale model (J.Sound&Vib. 2017) as well as a new hybrid computational model for broadband-tonal airfoil noise calculations based on the vortex sound method, the fast random particle method, and the scale decomposition (J.Sound&Vib. 2017).
He is one of the main developers of the high-resolution CABARET scheme for computational aeroacoustics problems (AIAAJ 2007) and its applications for high-fidelity jet flow and noise modelling (Comp&Fluids 2013 and Comp. Rendus Mecanique 2018).
In addition to aeroacoustics, his other areas of research include multiscale modelling (combining computational fluid dynamics with molecular dynamics simulations, Sergey was a guest editor of the Royal Society Phil.Trans. A Theme Issue on this topic in 2014) and computational geophysics (modelling of meso-scale ocean dynamics).