Velocity filtered density function for large eddy simulation of turbulent flows

By Laurent Y. M. Gicquel, Peyman Givi, F. Jaberi, Stephen B. Pope. 2000

241 citations recorded by the source corpus.

Subfields: Computational Mechanics, Environmental Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f57602e73a8bfbf92a78d13ef2e96d595c226b5e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Jacek Pozorski
2. W. Jones
3. Sourabh V. Apte
4. V. N. Prasad
5. Thierry Poinsot
6. Stelios Rigopoulos
7. Gabriel Staffelbach
8. Laurent Y. M. Gicquel

In Environmental Engineering

1. Jacek Pozorski
2. W. Jones
3. Sourabh V. Apte
4. V. N. Prasad

In Statistics and Probability

1. W. Jones
2. Sourabh V. Apte
3. V. N. Prasad

Citations in the corpus

• Filtered Density Function for Subgrid Scale Modeling of Turbulent Combustion (2006, unknown): “[18].”
• Large Eddy Simulation of the Sandia Flame Series (D–F) using the Eulerian stochastic field method (2010, methodology): “[54] M.”
• Filtered particle tracking in isotropic turbulence and stochastic modeling of subgrid-scale dispersion (2009, result): “…characteristic fluid time scale) the model should boil down to the prediction of fluid diffusion; the velocity filtered density function (FDF) approach of Gicquel et al. (2002) may possibly serve as the limit case to compare with; (iii) in the limit of large particles (τp/τf → ∞) the model should…”