Turbulent flame simulation taking advantage of tabulated chemistry self-similar properties

Predicting the flame shape, its stabilization process, and pollutant emissions in practical combustion devices requires to incorporate complex chemistry features. As detailed chemical schemes are too voluminous for practical numerical simulations, tabulated chemistry techniques have been proposed to account for the complexity of kinetics in turbulent flame simulations. Unfortunately, the size of these databases may become a crucial issue for efficient implementation on massively parallel computers. A reduction strategy that takes advantage of self-similar properties of tabulated chemistry is proposed for turbulent combustion modeling. A reduction of the database size by a factor of 1000 is achieved. This procedure is successfully applied to a RANS simulation of a turbulent jet flame.