Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Walters, D. Keith
Committee Member
Thompson, David S.
Committee Member
Thompson, Scott M.
Date of Degree
12-9-2016
Document Type
Graduate Thesis - Open Access
Major
Mechanical Engineering
Degree Name
Master of Science
College
James Worth Bagley College of Engineering
Department
Department of Mechanical Engineering
Abstract
This thesis seeks to investigate the predictive capabilities of Advanced turbulence models in the wake region of a wall-mounted cube. Dynamic Hybrid RANS/LES (DHRL), Hybrid RANS/LES (HRL) models, Nonlinear Explicit Algebraic Reynolds Stress Model (NEARSM), One- and Two-equation models, and numerical flux schemes will be compared against Direct Numerical Simulation (DNS) results to determine which model, or combination of models, produce the closest replication. The simulations were ran in Loci-Chem using both built-in features and modular code additions. The simulation results show the Shear Stress Transport (SST) model ran with NEARSM and Optimized Gradient REconstruction (OGRE) scheme gives better results than all other RANS and HRL models investigated herein. This result is matched only by SST with DHRL and OGRE. The best results were achieved using SST with NEARSM, DHRL, and OGRE. Thus, the NEARSM model shows potential to improve simulation results compared to simpler linear eddy-viscosity models.
URI
https://hdl.handle.net/11668/18937
Recommended Citation
Taylor, Benjamin Hugh, "Predictive Capabilities of Advanced Turbulence Models in the Wake Region of a Wall Mounted Cube" (2016). Theses and Dissertations. 3611.
https://scholarsjunction.msstate.edu/td/3611
Comments
computational fluid dynamics||turbulence modeling