Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Sreenivas, Kidambi
Committee Member
Whitfield, David L.
Committee Member
Taylor, Lafayette
Date of Degree
12-14-2001
Original embargo terms
MSU Only Indefinitely
Document Type
Graduate Thesis - Campus Access Only
Major
Computational Engineering
Degree Name
Master of Science
College
College of Engineering
Department
Computational Engineering Program
Abstract
This report presents the study of two-equation turbulence modeling. The primary objective of this study is to implement two-equation k-ε and k-ω turbulence models as a part of the incompressible flow solver, U²NCLE, on unstructured grids. There are several two-equation models but the selection of one which is in par with the model in UNCLE solver is required so that this model can be compared for robustness and accuracy as dem-onstrated by turbulence models in UNCLE. The selection also requires that the pre-defined arrays and variables can be used to avoid overhead and deviation from the solution procedure used in U²NCLE. The present study deals with the two-equation k-ε model contributed by Shih and Lumley and the two-equation k-ω model contributed by Wilcox. Implementation of these models will give the user multiple options of two-equation turbulence modeling for solution purpose. Particular attention is paid to the efficiency of the implementation. Various approximations to the source terms are considered and the most optimal and accurate approximation is identified. These models are validated via relatively small model problems, for example a flat plate case, by comparing the results with the results obtained from the respective models in UNCLE and the existing two-equation q-ω model in U²NCLE. Further validation is carried out by comparing computed forces and moments with experi-mental data for the SUBOFF model with sail and stern appendages.
URI
https://hdl.handle.net/11668/18942
Recommended Citation
Shringi, Vishwas, "Implementation of Two-Equation Turbulence Models in U2NCLE" (2001). Theses and Dissertations. 2633.
https://scholarsjunction.msstate.edu/td/2633