A new approach based on a Generalized Regression Neural Network (GRNN) has been proposed to predict the planform surface pressure field on a wing-tail combination in low subsonic flow. Extensive wind tunnel results were used for training the network and verification of the values predicted by this approach. GRNN has been trained by the aforementioned experimental data and subsequently was used ...

This work describes an inviscid solution for a cyclonic flowfield evolving in hemispherical chamber configuration. In this context, vigorously swirling motion is triggered by gaseous stream that introduced tangentially to the inner circumference of chamber's equatorial plane. The resulting updraft spirals around while sweeping wall, reverses direction approaching headend, and then tunnels itsel...

Title of dissertation: MOTION COORDINATION OF MULTIPLE AUTONOMOUS VEHICLES IN A SPATIOTEMPORAL FLOWFIELD Cameron Kai Peterson, Doctor of Philosophy, 2012 Dissertation directed by: Professor Derek Paley Department of Aerospace Engineering The long-term goal of this research is to provide theoretically justified control strategies to operate autonomous vehicles in spatiotemporal flowfields. The s...

The development and application of model reduction techniques have been widely investigated for problems in unsteady aerodynamic systems, driven mainly by the need to develop effective economical computational models capturing as much flow physics as possible. These techniques which have been based on a number of approaches such as balanced truncation, Arnoldi, proper orthogonal decomposition e...

Results are reported on the modification of the wing download due to a rotor wake interaction, using surface blowing. Previously, the wake/wing interaction flowfield has been studied qualitatively and quantitatively using surface pressure fields and off-surface velocity fields. The development of spanwise flows had been shown, along with the effects on surface pressure and download and when a t...