Extended Boltzmann Kinetic Equation for Turbulent Flows

By Hudong Chen, S. Kandasamy, S. Orszag, R. Shock, Sauro Succi, V. Yakhot. Science, 2003

685 citations recorded by the source corpus.

Subfields: Computational Mechanics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/7b38149665a72926dd464ec41bf3d6478a70ff83

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. K. Han
2. Y. Feng
3. David R. Owen
4. Zhenhua Chai
5. T. Karayiannis
6. Sauro Succi
7. Hudong Chen
8. Raoyang Zhang

Citations in the corpus

• Coupled lattice Boltzmann method and discrete element modelling of particle transport in turbulent fluid flows: Computational issues (2007, methodology): “The conventional large eddy simulation (LES) approach with a one-parameter Smagorinsky subgrid model [6] appears to be the simplest to apply; the more supplicated twoparameter – turbulence model [7] has also been considered.”
• A numerical method for incompressible non-Newtonian fluid flows based on the lattice Boltzmann method (2007, background): “[23]) as well as of non-Newtonian fluid flows.”
• Single-phase heat transfer in microchannels The importance of scaling effects (2009, background): “Succi is also the corresponding author of [68], which promulgates LB as better for turbulent flows than conventional NS-based turbulence modelling.”
• Numerical study of flow past an impulsively started cylinder by the lattice-Boltzmann method (2004, methodology): “Many benchmark studies have been done using this scheme and results are promising (Shock et al. 2002; Chen et al. 2003).”
• Expanded analogy between Boltzmann kinetic theory of fluids and turbulence (2004, background): “This is another key point (Chen et al. 2003) of the kinetic theory level description.”
• A novel lattice Boltzmann model for the Poisson equation (2008, methodology): “As a mesoscopic numerical approach, the lattice Boltzmann method (LBM) has attained increasing attention in simulating complex fluid flows [10–12].”
• Long‐distance biological transport processes through the air: can nature's complexity be unfolded in silico? (2005, methodology): “by adopting a hierarchical lattice approach, and it claims accuracy well beyond anything conceivable with LES (Chen et al., 2003).”