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A Data-Driven Neural Network Model to Correct Derived Features in a RANS-Based Simulation of the Flow Around a Sharp-Edge Bluff Body
DownloadSpring 2023
In this dissertation, a machine-learning method is utilized to enhance the accuracy of wake parameters calculated by Reynolds Averaged Navier Stokes (RANS) k-ω SST model of flow on and around wall-mounted rectangular cylinders. Using high-quality results from Large Eddy Simulation (LES), this...
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Fall 2022
This dissertation numerically evaluates the performance of targeted wall-shape pipe inserts on reducing heat convection and frictional drag of turbulent pipeflow at a range of Reynolds numbers, Re = 2.5 × 10^4 − 7.5 × 10^4. The wall modifications are constructed to closely follow three...
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Fall 2020
This dissertation looks at the response and recovery of turbulent pipeflow past square bar roughness elements with two heights at Reynolds numbers of 5000 and 156000. The response of turbulent pipeflow to multiple square bar roughness elements is also evaluated at the higher Reynolds number...