Dynamic wake theories are widely used in rotorcraft simulation codes and continue to be a valuable resource even though computationally heavy methods, such as vortex lattice methods and CFD, have become more accessible. ...

In this thesis, I have presented a new configuration for supersonic aircraft fuselages. I first demonstrated that the commercial Fluent code provides mesh converged, valid results for supersonic flows around various ...

In Chapter 5, an active rotor blade shape-morphing system is designed and optimized which quasi-statically reconfigures the blade between a standard airfoil geometry designed for low-speed operation and an elliptical variant ...

Flow separation is a complex, three-dimensional phenomenon that leads to a loss in aerodynamic performance such as a decrease in lift and an increase in drag. It occurs when the flow detaches from a surface and creates a ...

Finally, numerical interface conditions are developed for an Auxiliary Differential Equation Generalized Dispersion Model (ADE-GDM) form of Maxwell’s equations. Compatibility conditions based on the primal interface ...

Multigrid algorithms of solving elliptic or hyperbolic partial differential equations and boundary value problems to high-order accuracy on overset grids are developed and studied in this thesis. The thesis consists of ...

Both problems described above are governed by the same system of elliptic PDEs that enforce mechanical equilibrium for an elastic material. In this thesis, we apply an optimization framework and treat the above two types ...

The field of elasticity imaging, or elastography, has undergone rapid development over the last three decades, evolving from using ultrasound for simple qualitative measurements of tissue stiffness to characterizing a wide ...

One major obstacle to successful orbital debris remediation is the determination of which pieces of debris are the most viable targets for capture and de-orbit. The viability of a target is determined by some combination ...

In this work trajectory optimisation is explored through four different avenues, namely: 1. Direct Methods, 2. Heuristics, 3. Reinforcement learning, 4. Supervised Learning Each method builds off of its preceding session. ...