Led by Dr. Adrian Sescu, a CAVS research group is focusing on fundamental research on topics in aeroacoustics, transition in boundary layers, and synthetic turbulence modeling for both large and direct numerical simulations. Current research areas include:
Prediction of nonlinear waves from jet noise
This research is motivated by observations that the noise radiated from plumes of liftoff vehicles is very intense. The CAVS research team employs a hybrid acoustic technique, in which the Navier-Stokes equations in the acoustic region is coupled with a non-linear Euler solver for acoustic propagation. The source term in the Euler equations is input using a penalization technique.
Coupled LES and stochastic modeling for jet noise
In collaboration with Tohoku University, CAVS seeks to utilize very large eddy simulations and stochastic modeling to approximate the acoustic spectra at the level of direct numerical simulation, where the LES accounts for low frequency noise, while the stochastic model provides the high frequency content.
Control of boundary layer instabilities and transition
Based on wall transpiration, deformation and cooling, various control strategies are utilized to reduce the energy of boundary layer streaks, and to ultimately minimize the skin friction drag.
CAVS is developing novel synthetic turbulence methods based on superpositions of distorted Hill’s vortices, aimed at imposing realistic turbulent inflow condition for LES and DNS. We are also using forcing sources to develop precursor LES methods for turbulent boundary layers.