Turbulence remains one of the outstanding problems of classical physics, and one that has challenged physicists and engineers alike for decades, even centuries. The fusion of classical approaches and tools of the modern day – theoretical analysis of the Navier-Stokes equations, state-of-the-art experimental observations, data-driven methods and machine learning – has led to substantial progress […]
A body of revolution spinning in a fluid drives an inherently three-dimensional boundary layer, in which a centrifugally driven secondary circulation lifts the layer off the surface and a centrifugal instability carries it into transition. Most of what is known about this flow comes from single geometries (the rotating disk, the isolated cone or cylinder) […]
Particle tracking in turbulent jets is essential for an accurate Lagrangian understanding of jet flows. While parallel algorithms and numerical schemes to compute flow fields can be scaled to a large number of computing processes, the same is not necessarily true for particle tracking. This thesis presents an analysis of the parallel efficiency of particle […]
