Numerical investigation of the effects of porosity and tortuosity on soil permeability using coupled three-dimensional discrete-element method and lattice Boltzmann method

2015 ◽  
Vol 91 (5) ◽  
Author(s):  
Bahman Sheikh ◽  
Ali Pak
Keyword(s):  
Discrete Element Method ◽  
Lattice Boltzmann Method ◽  
Numerical Investigation ◽  
Lattice Boltzmann ◽  
Three Dimensional ◽  
Discrete Element ◽  
Soil Permeability ◽  
Boltzmann Method ◽  
Element Method

Multiscale Simulation with a Two-Way Coupled Lattice Boltzmann Method and Discrete Element Method

2017 ◽  
Vol 40 (9) ◽  
pp. 1591-1598 ◽  
Author(s):  
Marie-Luise Maier ◽  
Thomas Henn ◽  
Gudrun Thaeter ◽  
Hermann Nirschl ◽  
Mathias J. Krause
Keyword(s):  
Discrete Element Method ◽  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Discrete Element ◽  
Multiscale Simulation ◽  
Boltzmann Method ◽  
Element Method

scholarly journals Modelling Complex Particle–Fluid Flow with a Discrete Element Method Coupled with Lattice Boltzmann Methods (DEM-LBM)

2020 ◽  
Vol 4 (4) ◽  
pp. 55
Author(s):  
Wenwei Liu ◽  
Chuan-Yu Wu
Keyword(s):  
Discrete Element Method ◽  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Fluid Flows ◽  
Discrete Element ◽  
Dense Particle ◽  
Inertial Migration ◽  
Complex Particle ◽  
Boltzmann Method ◽  
Element Method

Particle–fluid flows are ubiquitous in nature and industry. Understanding the dynamic behaviour of these complex flows becomes a rapidly developing interdisciplinary research focus. In this work, a numerical modelling approach for complex particle–fluid flows using the discrete element method coupled with the lattice Boltzmann method (DEM-LBM) is presented. The discrete element method and the lattice Boltzmann method, as well as the coupling techniques, are discussed in detail. The DEM-LBM is thoroughly validated for typical benchmark cases: the single-phase Poiseuille flow, the gravitational settling and the drag force on a fixed particle. In order to demonstrate the potential and applicability of DEM-LBM, three case studies are performed, which include the inertial migration of dense particle suspensions, the agglomeration of adhesive particle flows in channel flow and the sedimentation of particles in cavity flow. It is shown that DEM-LBM is a robust numerical approach for analysing complex particle–fluid flows.

scholarly journals Calculating the Binary Tortuosity in DEM-Generated Granular Beds

Processes ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1105 ◽  
Author(s):  
Wojciech Sobieski
Keyword(s):  
Discrete Element Method ◽  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Three Dimensional ◽  
Path Tracking ◽  
Empirical Formulas ◽  
Tracking Method ◽  
Value Range ◽  
Boltzmann Method ◽  
Path Tracking Method

In this paper, a methodology of calculating the tortuosity in three-dimensional granular beds saved in a form of binary geometry with the application of the A-Star Algorithm and the Path Searching Algorithm is presented. The virtual beds serving as examples are prepared with the use of the Discrete Element Method based on data of real, existing samples. The obtained results are compared with the results described in other papers (obtained by the use of the Lattice Boltzmann Method and the Path Tracking Method) as well as with the selected empirical formulas found in the literature. It was stated in the paper that the A-Star Algorithm gives values similar (but always slightly underestimated) to the values obtained via approaches based on the Lattice Boltzmann Method or the Path Tracking Method. In turn, the Path Searching Algorithm gives results in the same value range as popular empirical formulas and additionally it is approximately two times faster than the A-Star Algorithm.

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