Modeling micro-mixing remains a primary challenge for the transported probability density function (TPDF) method. In this study, the pairwise mixing with kernel constraint (KerM) …
S Sammak, Z Ren, P Givi - Modeling and Simulation of Turbulent Mixing …, 2020 - Springer
An overview is presented of recent developments in filtered density function (FDF) methodology as utilized for large eddy simulation (LES) of turbulent flows. The review is …
The use of transported probability density function (TPDF) models to predict soot has the strong advantage that the effects of turbulent fluctuations on soot source terms can be …
Transported probability density function (TPDF) methods are attractive for modeling turbulent flames as the highly nonlinear chemical reactions appear in closed form. The …
T Yang, Q Xie, H Zhou, Z Ren - Physics of Fluids, 2020 - pubs.aip.org
A new closure of the scalar mixing timescale is formulated to enhance the predictability of large eddy simulation (LES)/filtered density function (FDF) simulations for turbulent premixed …
Large eddy simulation (LES) combined with filtered density function (FDF), ie, LES/FDF, is an effective approach for high-fidelity simulation of turbulent flames. In this work, LES/FDF …
The modeling of scalar mixing timescale remains a primary challenge in the transported probability density function (TPDF) method. The variation of scalar mixing timescale among …
L Zhang, J Liang, M Sun, Y Yang, H Zhang, X Cai - Physics of Fluids, 2021 - pubs.aip.org
A novel scalar filtered mass density function (SFMDF) method is developed for high-speed flows, especially for supersonic reactive flows. The total energy is proposed as the energy …
Y Chen, T Yang, H Zhou, X Han, Z Ren - Physical Review Fluids, 2024 - APS
The filtered density function (FDF) in the context of large eddy simulation (LES) has demonstrated its unique strength in predicting complex turbulent reacting flows. However …