Computational Science, Engineering, and Mathematics
Direct Numerical Simulation of the temporally-evolving reacting jet for model error assessment of RANS-based closures for non-premixed turbulent combustion
M.S. (2016) – Computational Science, Engineering, & Mathematics; The University of Texas-Austin
M.S. (2013) -- Mechanical Engineering; Purdue University
B.S. (2011) – Applied Mathematics, Engineering, and Physics; University of Wisconsin-Madison
My research focuses on Direct Numerical Simulation (DNS) of the reacting, turbulent jet for the purpose of interrogating Reynolds-Averaged Navier-Stokes (RANS) models for turbulent combustion. The simulations are designed such that the model error from the turbulence and the turbulence-chemistry interaction closures is isolated from the error arising from the chemical kinetics. A better understanding of these errors will aid in the development of model inadequacy representations for RANS combustion models.
Turbulence, Direct Numerical Simulation, turbulent combustion, model inadequacy, uncertainty quantification, mathematical modeling
Society for Industrial and Applied Mathematics, American Physical Society