Sparse-Lagrangian FDF simulation of Sandia flame E with modified density coupling

Sparse-Lagrangian filtered density function (FDF) simulation is performed for Sandia flame E. Sparse-Lagrangian Monte Carlo method is used to solve the scalar FDF transport equations, in which a generalized multiple mapping conditioning (MMC) model is implemented to enforce mixing localness. A modified density coupling method for Sparse-Lagrangian FDF is proposed, in which the conditional mean source term of equivalent enthalpy is fed back directly as the source term in the Eulerian equivalent enthalpy transport equation of large eddy simulation (LES). The results of Sparse-Lagrangian FDF simulation indicated that the new density coupling method is more reasonable than the previous ones in reducing the numerical errors in LES results, and that the simulation results agree well with the experimental data.