James Glimm, Ph.D.

Department Chair, SUNY at Stony Brook

Combustion and Chemical Processing in Turbulent Flows

Turbulent flow, combustion and chemical processing commonly rely on use of models to account of unresolved flow features. This fact is a significant source of error and uncertainty in many engineering flow models. Large scale computing reduces but does not eliminate this problem. We have devised a stochastic convergence approach to such problems which eliminates the need for chemistry models in turbulent combustion. Large eddy simulations with convergence of not only mean quantities, but of the full fluctuation field (probability distribution functions) allow finite rate chemistry without use of chemistry models. Only the simpler and better understood turbulence models are required. Application to turbulent combustion in the engine of a scram jet and chemical reactions in a two phase fluid mixer (contactor) illustrate these ideas.


James Glimm received his PhD from Columbia University in 1959. He has held academic positions at MIT, Courant Institute, NYU, Rockafeller University and Stony Brook University, where he is the Head of the Department of Applied Mathematics and Statistics. He is a member of the National Academy of Sciences and the American Academy of Science and a recipient of the National Medal of Science. He is noted for research in a broad range of areas, including mathematical analysis, partial differential equations, quantum field theory, statistical physics, numerical analysis and turbulence modeling.

Workshop Program
updated: 2011-10-19