Lattice Boltzmann Method for 3-D Flows with Curved Boundary
By Renwei Mei, Wei Shyy, Dazhi Yu, Li-Shi Luo. 2000
391 citations recorded by the source corpus.
Subfields: Computational Mechanics, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/3a66fe8bc3122fde9307dd2aa5ad2f65a8011c1c
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In Computational Mechanics
In Electrical and Electronic Engineering
Citations in the corpus
- Viscous flow computations with the method of lattice Boltzmann equation (2003, neutral): “5) [101].”
- A Review on the development of lattice Boltzmann computation of macro fluid flows and heat transfer (2015, methodology): “For the D3Q19 model the discrete velocity set ci f g can be expressed as [40]”
- 3D image-based characterization of fluid displacement in a Berea core (2007, methodology): “We used the curved boundary conditions of [25,26] which provided improved convergence to steady state flow conditions compared to standard bounce-back boundary conditions.”
- Asymptotic analysis of the lattice Boltzmann equation (2005, methodology): “For the models D3Q15 and D3Q19, details about velocities ci and weights f i can be found, for example, in [36].”
- LBM–DEM modeling of fluid–solid interaction in porous media (2013, neutral): “In 3D, 19-velocity LBM model [26], ea= (0,0,0), wa = 1/3 for a = 0, ea = ( 1,0,0)c, (0, 1,0)c, (0,0, 1)c, and wa = 1/18 for a= 1–6, and ea = ( 1, 1, 0)c, ( 1,0, 1)c, (0, 1, 1)c, and wa = 1/36 for a = 7–18.”
- A characteristic Galerkin method for discrete Boltzmann equation (2001, background): “[6] improved this scheme and further extended it to three dimensions [7].”
- GPU Cluster for High Performance Computing (2004, background): “Complex shaped boundaries such as curves and porous media can be represented by the location of the intersection of the boundary surfaces with the lattice links [24].”
- A 3D incompressible thermal lattice Boltzmann model and its application to simulate natural convection in a cubic cavity (2004, neutral): “[24].”
- Three‐dimensional immersed boundary conditions for moving solids in the lattice‐Boltzmann method (2007, background): “[31] who concluded that the 19-speed model presented the best balance between computational reliability and efficiency.”