Mechanical Engineering ETDs
Publication Date
Spring 4-12-2023
Abstract
In this thesis, the multiple linear regression method is applied to clarify terms and their coefficients in data-driven models for velocity/pressure-gradient (VPG) correlations in the Reynolds stress transport equations. Additionally, a method for developing universal linear models for the VPG correlations with unchanging coefficients when complex conditions arise in a flow is introduced. The generated models were assessed using residual analysis to ensure an appropriate level of accuracy. Data from direct numerical simulation in an incompressible fully-developed turbulent channel flow at Re_tau = 392 with an adverse pressure gradient is used in the study as the data source.
Keywords
regression, turbulence modeling, RANS modeling, velocity-pressure gradient correlations
Degree Name
Mechanical Engineering
Level of Degree
Masters
Department Name
Mechanical Engineering
First Committee Member (Chair)
Svetlana Poroseva
Second Committee Member
Peter Vorobieff
Third Committee Member
Daniel Banuti
Document Type
Thesis
Recommended Citation
Heras Rivera, Juampablo E.. "Development of models for the velocity-pressure gradient correlations in incompressible wall-bounded planar turbulent flows using multiple linear regression." (2023). https://digitalrepository.unm.edu/me_etds/226