Computational Modeling & Simulation


Understanding complex problems such as combustion events is greatly aided by computational modeling and simulation. A model is a simplified way of describing and predicting physical phenomena. For a complete simulation of a typical combustion device to be feasible, even on the largest of computers, the inclusion of simplifying models is required.

Working closely with experimentalists, researchers at the Combustion Research Facility use theory, modeling, and simulation tools to better understand problems ranging from fundamental chemical dynamics to the full characterization of the operation of combustion devices. The ultimate goal is to discover how to reliably predict factors that can guide design, operation and fuel selection. The CRF has established a problem-solving environment by developing and deploying computational tools through the Diesel Combustion Collaboratory and the Thermodynamics Resource.

More detailed information on CRF projects involving modeling and simulation can be found in the Combustion Chemistry, Combustion in Engines, and Experimental Reacting Flows research areas. Topics include combustion theory and modeling, Sandia's PREMIX code, computational fluid dynamics modeling of in-cylinder engine processes, CHEMKIN use in the Diesel Combustion Collaboratory, direct numerical simulation of combustion in turbulent flows, statistical modeling, and Runga Kutta computational methods.