Turbulent flame simulation taking advantageof tabulated chemistry self-similar properties

摘要

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