Sparse-Lagrangian filtered density function (FDF) simulations using a generalized multiple
mapping conditioning mixing model and density coupling via a conditional form of the …

Sparse-Lagrangian filtered density function (FDF) simulations are performed for Sandia
flame E. A generalised multiple mapping conditioning (MMC) mixing model for the …

A hybrid large-Eddy simulation/filtered-density function (LES–FDF) methodology is
formulated for simulating variable density turbulent reactive flows. An indirect feedback …

Results from large eddy simulations (LES) and direct numerical simulations (DNS) of a two-
dimensional, spatially developing, compressible planar free jet undergoing an idealized …

A sparse-Lagrangian multiple mapping conditioning (MMC) model for turbulent diffusion
flames is presented and tested against experimental data for a piloted methane/air jet …

A modeling strategy to incorporate differential diffusion effects on both filter and subgrid
scale in large-eddy simulation (LES)/filtered density function (FDF) method is proposed …

The filtered mass density function (FMDF) model (Jaberi et al. 1999 [1]) is employed for large
eddy simulations (LES) of “high speed” partially-premixed methane jet flames with the …

A methodology termed the ''filtered density function''FDF is developed and implemented for
large eddy simulation LES of chemically reacting turbulent flows. In this methodology, the …

A consistent hybrid large-eddy simulation/filtered-density-function approach (LES-FDF) is
formulated for variable-density low-Mach-number flows. The LES-FDF approach has been …

This paper describes a new computational model developed based on the filtered mass
density function (FMDF) for large-eddy simulation (LES) of two-phase turbulent reacting …