The lattice Boltzmann method for complex flows

By Timothy Reis. 2007

491 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/42f091dadbcb06a70e60d794239717874f9b54d9

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Citations in the corpus

• Lattice Boltzmann methods for multiphase flow and phase-change heat transfer (2015, methodology): “In the last 25 years, the LB method has been developed into an efficient and powerful simulation method for a wide range of phenomena and processes [1-16], such as single-phase flows, multiphase flows, turbulence, heat transfer, and phase change, as well as a numerical tool for nonlinear partial dif”
• Particle dynamics modeling methods for colloid suspensions (2014, methodology): “We largely exclude several important classes of colloid suspension simulation techniques, including lattice-based treatments of the solvent (in particular, Lattice-Boltzmann techniques [1,37,57,128]; field-based or Eulerian treatments of the particles, where a spatially-varying continuous density va”
• The lattice Boltzmann method for isothermal micro-gaseous flow and its application in shale gas flow: a review (2015, methodology): “Lattice Boltzmann method has been used to solve problems in petroleum industry for a decade, and several reviews on the LBM have been published[69-75].”
• Numerical Simulation of Flowing Blood Cells (2014, background): “Means of improving the accuracy, via interpolation or extrapolation or by adjusting the collision operators of the underlying statistical description, can improve accuracy at the cost of simplicity (Aidun & Clausen 2010).”
• Lattice Boltzmann modeling of boiling heat transfer: The boiling curve and the effects of wettability (2015, methodology): “In recent years, the lattice Boltzmann (LB) method, which is a mesoscopic approach based on minimal lattice formulations of the kinetic Boltzmann equation [13, 14], has also been applied to simulate liquid-vapor phase change.”
• A New Drag Correlation from Fully Resolved Simulations of Flow Past Monodisperse Static Arrays of Spheres (2015, background): “Based on such LBM simulations for low-Reynoldsnumber flows, a drag correlation was derived by Hill et al.9,27 Later on, the simulations were extended to monodisperse and bidisperse random arrays of spheres at moderate Reynolds number by van der Hoef et al.13 and Beetstra et al.11 In addition, studie”