Committee Chair

Ranjan, Reetesh

Committee Member

Sreenivas, Kidambi; Margraves, Charles

Department

Dept. of Engineering

College

College of Engineering and Computer Science

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

Laminar-to-turbulent transition is a phenomenon observed in practical applications. Robust computational models are needed to predict the onset of transition and the associated flow dynamics. Direct numerical simulation (DNS), although suitable for fundamental studies, tends to be computationally expensive, thus making large-eddy simulations (LES) a viable strategy. In LES, large scales of the flow field are computed, and the effects of small scales are modeled. In this study, the hybrid two-level large-eddy simulation strategy (TLS-LES) is being assessed for its ability to predict features of transition. The TLS-LES strategy blends the two-level simulation (TLS) and LES models. TLS is a multi-scale model, in which both large and small scales are computed. The present work compares the TLS-LES approach with the other models by simulating temporal transition within two canonical flows: the Taylor-Green Vortex and plane Poiseuille flow. The assessment is performed by comparing the results against corresponding DNS.

Acknowledgments

I would like to extend my thanks to my thesis advisor, Dr. Reetesh Ranjan, for his guidance and support during this work. I would also like to thank my thesis committee members, Dr. Kidambi Sreenivas and Dr. Charles Margraves for their continued support during my graduate program at UTC. I want to thank the Fluids and Combustion Modeling Group members for their assistance during this research work. Finally, I would like to acknowledge the Center of Excellence in Applied Computational Science and Engineering grant from UTC for funding this research work. I acknowledge the support staff at the SimCenter for their assistance and access to the computational resources.

Degree

M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.

Date

12-2022

Subject

Computational fluid dynamics; Turbulence--Mathematical models

Keyword

computational fluid dynamics; turbulence; mathematical models

Document Type

Masters theses

DCMI Type

Text

Extent

xiii, 86 leaves

Language

English

Rights

http://rightsstatements.org/vocab/InC/1.0/

License

http://creativecommons.org/licenses/by/4.0/

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