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Title: Incompressible flow over a three-dimensional cavity
Author: Yao, Hui
ISNI:       0000 0001 3574 4999
Awarding Body: Queen's University Belfast
Current Institution: Queen's University Belfast
Date of Award: 2003
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This thesis investigates, by using a computational fluid dynamics (CFD) method, the physics of incompressible flow passing over a three-dimensional cavity on a solid surface. This study has been divided into two parts: 1) incompressible laminar flow passing over a three-dimensional cavity; and 2) incompressible laminar-to-turbulent transition over a three-dimensional cavity. In the second part, a CFD code for the solution of the three-dimensional unsteady incompressible Navier-Stokes equations is developed. This is used to simulate incompressible laminar flow past a rectangular cavity. Typical result of simulation for varying Reynolds numbers, inflow condition and cavity geometry are presented. Unsteady vorticial structures and shear-layer oscillations are observed within and around the cavities, and the flow becomes highly unsteady at high Reynolds numbers. The third part examines the laminar- o-turbulent transition over three-dimensional cavities at high Reynolds numbers. This part itself includes two part: 1) simulation of the transitional flow and 2) prediction of the transitional areas in the shear layer of the cavity. A CFD code based on the large eddy simulation approach is developed for the simulation study. For the prediction of the areas of transition, a new: spectral-entropy based method is proposed. The product of the spectral entropy and energy of the pressure fluctuation is used for predicting the location of transition in the shear-layer flow. Typical results of simulation of incompressible laminar flow past a rectangular cavity for a range of Reynolds numbers are presented. The results indicate that the transition to turbulence occurred in the shear layer at some high Reynolds numbers ( e.g. R-e = 50, 000 100}000). The lambda structures and the "half mushroom" structures are observed in the transitional flows. The new method for predicting the transition is tested, and shows a good correlation with the results obtained based on large eddy simulation.
Supervisor: Raghunathan, Srinivasan Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: Computational Fluid Dynamics