Bryan Reuter

Bryan Reuter

Ph.D. Candidate:
Computational Science, Engineering, and Mathematics

Dissertation topic:
Direct Numerical Simulation of the temporally-evolving reacting jet for model error assessment of RANS-based closures for non-premixed turbulent combustion

Advisor:
Robert Moser

Prior Degrees:
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

Research focus:
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.

Research interests:
Turbulence, Direct Numerical Simulation, turbulent combustion, model inadequacy, uncertainty quantification, mathematical modeling
Professional Organizations:
Society for Industrial and Applied Mathematics, American Physical Society

Alternate webpage:
www.linkedin.com/in/bryan-reuter/

Contact

Email: [115, 267, 140, 198, 253, 161, 136, 110, 118, 268, 65, 218, 259, 198, 151, 108, 132, 199, 120, 201, 260]
Phone: n/a
Office: POB 3SWo2C