Computational Fluid Dynamics

Publications

Underwater Implosions of Large Format Photo-multiplier Tubes

This study investigates the failure modes of large-format semihemispherical photo-multiplier tubes (PMTs) under high hydrostatic pressure, a crucial aspect for deep-water neutrino detectors. The research focuses on understanding the shock wave generated by a PMT implosion, comparing experimental data to hydrodynamic simulations, and providing recommendations to mitigate the risk of a chain reaction failure in large detector arrays.

Application of CFD for Modeling Flows in Feed-Water Pipelines

This study used a Computational Fluid Dynamics (CFD) model to analyze the flow patterns and velocity profiles in various PWR pipeline configurations. The research demonstrates how geometrical features like elbows, valves, and branches can alter the flow structure and axial velocity distribution, which can differ significantly from straight pipe flow.

Ship Shock Trial Simulation of USS Winston S. Churchill (DDG81): Surrounding Fluid Effect

David T. Hart

This paper uses computational fluid dynamics to simulate the shock trials of the USS Winston S. Churchill. It examines the amount of fluid modeling required to accurately simulate an underwater explosion's effect on the ship's structure.

Application of CFD Model for Inlet Flow Region of 17x17 Fuel Assembly

This study uses a Computational Fluid Dynamics (CFD) model to investigate the flow redistribution and velocity profiles within a Westinghouse 17×17 PWR fuel assembly. The research focuses on how the fuel assembly's structure, including the debris filter bottom nozzle and grids, affects the high-velocity jet flow from the lower core plate, aiming to understand the potential for rod vibration and fretting-wear damage.

Drag Coefficient of a Spherical Particle Attached on the Flat Surface

This paper employs Computational Fluid Dynamics to numerically determine the drag coefficient of a spherical particle adhering to a flat surface, broadening the scope of its applicability beyond low Reynolds number flows. The study rigorously investigates the use of a correction factor to reconcile analytical solutions with a wider range of fluid flow conditions, which is essential for understanding particle behavior on surfaces.