The DOI matches its Crossref record; 223 of the 223 references it cites were found in a registry or an index.
Lattice-Boltzmann Method for Complex Flows
Abstract
With its roots in kinetic theory and the cellular automaton concept, the lattice-Boltzmann (LB) equation can be used to obtain continuum flow quantities from simple and local update rules based on particle interactions. The simplicity of formulation and its versatility explain the rapid expansion of the LB method to applications in complex and multiscale flows. We review many significant developments over the past decade with specific examples. Some of the most active developments include the entropic LB method and the application of the LB method to turbulent flow, multiphase flow, and deformable particle and fiber suspensions. Hybrid methods based on the combination of the Eulerian lattice with a Lagrangian grid system for the simulation of moving deformable boundaries show promise for more efficient applications to a broader class of problems. We also discuss higher-order boundary conditions and the simulation of microchannel flow with finite Knudsen number. Additionally, the remarkable scalability of the LB method for parallel processing is shown with examples. Teraflop simulations with the LB method are routine, and there is no doubt that this method will be one of the first candidates for petaflop computational fluid dynamics in the near future.
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“LBM is well-known for intuitive modeling, intrinsically parallelizable algorithms, the ability to address complex boundary conditions, and multiphysics models [39,40].”
From Comprehensive Computational Model for Coupled Fluid Flow, Mass Transfer, and Light Supply in Tubular Photobioreactors Equipped with Glass Sponges (2022) · cites this paper as [39]
Citations
Cites
Possible generalization of Boltzmann-Gibbs statistics
Tsallis, C. (1988) · Journal of Statistical Physics · doi:10.1007/bf01016429 · Cited by 9,589
The mathematical theory of non-uniform gases
York, N. (1953) · Journal of the Franklin Institute · doi:10.1016/0016-0032(53)90422-0 · Cited by 7,699
LATTICE BOLTZMANN METHOD FOR FLUID FLOWS
Chen, S., & Doolen, G. D. (1998) · Annual Review of Fluid Mechanics · doi:10.1146/annurev.fluid.30.1.329 · Cited by 7,336
Lattice BGK Models for Navier-Stokes Equation
Qian, Y., d’Humières, D., & Lallemand, P. (1992) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/17/6/001 · Cited by 5,326
Peskin, C. S. (2002) · Acta Numerica · doi:10.1017/s0962492902000077 · Cited by 4,603
The Lattice Boltzmann Equation for Fluid Dynamics and Beyond
Succi, S. (2001) · doi:10.1093/oso/9780198503989.001.0001 · Cited by 4,203
The mathematical theory of non-uniform gases
Budden, K. G. (1971) · Journal of Atmospheric and Terrestrial Physics · doi:10.1016/0021-9169(71)90189-9 · Cited by 3,682
Lattice Boltzmann model for simulating flows with multiple phases and components
Shan, X., & Chen, H. (1993) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.47.1815 · Cited by 3,654
A Mechanism for Non-Newtonian Flow in Suspensions of Rigid Spheres
Krieger, I. M., & Dougherty, T. J. (1959) · Transactions of the Society of Rheology · doi:10.1122/1.548848 · Cited by 3,403
The Boltzmann Equation and Its Applications
Cercignani, C. (1988) · Applied Mathematical Sciences · doi:10.1007/978-1-4612-1039-9 · Cited by 3,130
Research works printed but not linked: 14
- Boltzmann L, 1872, Wien. Ber., 66, 275
- Clausen JR, 2009, Comput. Phys. Commun.
- Darrozes J, 1969, Rarefied Gas Dynamics, 1, 111
- Enskog D, 1917, Kinetische Theorie der Vorgäenge in mäessig verdüennten G
- Falcucci G, 2007, Commun. Comput. Phys., 2, 1071
- Frisch U, 1987, Complex Syst., 1, 649
- Grad H, 1958, Handb. Phys., 12, 205
- Hilbert D, 1912, Grundzüge einer allgemeinen Theorie der linearen Integralgleichungen
- Hou S, 1996, Fields Inst. Commun., 6, 151
- Junk M, 2003, Asymptot. Anal., 35, 165
- Landau L, 1995, Fluid Mechanics
- Sone Y, 1969, Rarefied Gas Dynamics, 1, 243
- Sone Y, 1969, Rarefied Gas Dynamics, 2, 737
- Vahala G, 2008, Commun. Comput. Phys., 4, 624
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Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Feng, Y., Li, H., Li, L., Bu, L., & Wang, T. (2015) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2014.10.048 · Cited by 148
A quasi-mechanistic mathematical representation for blood viscosity.
Hund, S., Kameneva, M., & Antaki, J. (2017) · Fluids · doi:10.3390/fluids2010010 · Cited by 65
A 3D Lattice Boltzmann method for light simulation in participating media
Mink, A., Thäter, G., Nirschl, H., & Krause, M. J. (2016) · Journal of Computational Science · doi:10.1016/j.jocs.2016.03.014 · Cited by 39
Inertial dilute particulate fluid flow simulations with an Euler–Euler lattice Boltzmann method
Trunk, R., Henn, T., Dörfler, W., Nirschl, H., & Krause, M. J. (2016) · Journal of Computational Science · doi:10.1016/j.jocs.2016.03.013 · Cited by 31
Metadata
- Authors
- Aidun, C. K., & Clausen, J. R.
- Affiliations
- Georgia Institute of Technology (US)
- Venue
- Annual Review of Fluid Mechanics
- Publisher
- Annual Reviews
- Published
- 2010-01-01
- Volume
- 42
- Issue
- 1
- Pages
- 439-472
- ISSN
- 0066-4189 (ISSN-L)
- 1545-4479
- OpenAlex
- W2120900954
- Cited by
- 1,991
- References
- 223
- Citations by year
- 2026: 110 · 2025: 104 · 2024: 103 · 2023: 97 · 2022: 109 · 2021: 119 · 2020: 145 · 2019: 135 · 2018: 169 · 2017: 181 · 2016: 161 · 2015: 147 · 2014: 136 · 2013: 111 · 2012: 77
- FWCI
- 5.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Fluid Mechanics (publishedVersion)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › Lattice Boltzmann Simulation Studies
- Physical Sciences › Engineering › Computational Mechanics › Computational Fluid Dynamics and Aerodynamics
- Physical Sciences › Engineering › Computational Mechanics › Fluid Dynamics and Turbulent Flows
- Keywords
- lattice Boltzmann method, entropic lattice Boltzmann method, turbulent flow simulation, multiphase flow, fiber suspensions, hybrid Eulerian-Lagrangian method, higher-order boundary conditions, microchannel flow, parallel scalability, multiscale flow, kinetic theory
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