All ETDs from UAB

Advisory Committee Chair

Muhammad Mohebujjaman

Advisory Committee Members

Ian Knowles

Marius Nkashama

Zoran Grujic

Document Type

Thesis

Date of Award

1-1-2025

Degree Name by School

Master of Science (MS) College of Arts and Sciences

Abstract

Ensemble methods are widely used to approximate solutions for the Navier-Stokes Equations to account for inherent uncertainties within the system. This work goes about the numerical analysis and efficiency assessment of a fully discretized Ensemble Eddy Viscosity (EEV) model for the incompressible Stochastic Navier-Stokes Equations. The model is efficient due to the use of ensemble methods. Through a single coefficient matrix for $J$ realizations, we reduce computational cost and thereby ensure computational efficiency. It is found that the model is robust with the inclusion of the eddy viscosity term, as an additional uncertainty quantification. Finally, we verify theoretical convergence rates and that the model is accurate through several numerical experiments and benchmarking tests.

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