Brandon Gusto

Ph.D. Student
Dept. of Scientific Computing
Florida State University


resume: bgusto.pdf



I am a third-year Ph.D. student in the Department of Scientific Computing at FSU, with a background in mechanical engineering and applied mathematics. I am working to develop efficient numerical methods for the simulation of reactive flows.

Adviser: Dr. Tomasz Plewa

Research Interests

My research is concerned with the development of numerical methods designed to make high-fidelity simulations of turbulent reactive flows more efficient and attainable. Combustion plays an essential role in powering the modern world. Oftentimes in industrial and military systems, combustion is accompanied by turbulence inside the combustion chamber. In fact, the energy release from the chemical reactions can create turbulent motions within the fluid. Likewise, turbulence has the ability to inject its own energy into the reaction process through mixing and can even strengthen subsonic burning into a supersonic detonation. The two processes are coupled together through a highly nonlinear feedback mechanism that remains very difficult to predict, even with the state-of-the-art simulation tools. The difficulty relies primarily in the wide range of scales that need to be resolved. There is evidence to suggest that turbulent motions at very small scales can have a significant impact on large scale dynamics. Yet many simulation tools rely on overly simplistic models of the coupling between those scales in an effort to reduce the computational effort. Simulation of the full range of scales remains prohibitively expensive in most applications...

I have developed a novel method that combines wavelet-based multiresolution methods with existing block-structured adaptive mesh refinement (SAMR) methods in order to help bring high-fidelity simulations of the full range of scales of turbulent combustion within reach. For a simplified overview of the approach, see a poster from Spring 2018. A paper detailing the method is in preparation.