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Study on Seepage for Random Packed Porous Media Using the Lattice Boltzmann Method
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  • jinfeng zhang,
  • Zhongyue Li,
  • Guangwei Liu,
  • Qinghe Zhang
jinfeng zhang
Tianjin University
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Zhongyue Li
Tianjin University
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Guangwei Liu
Tianjin University

Corresponding Author:[email protected]

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Qinghe Zhang
State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University
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The permeability coefficient of seepage is an important factor that is widely used in various engineering fields. There are numerous issues that influence the permeability coefficient, among which the porosity, particle size, particle size distribution and Reynolds number are of great importance. In this paper, a C++ code based on the three-dimensional lattice Boltzmann method (LBM) was developed and used to investigate the effects of the abovementioned factors on the permeability coefficient. A multiple relaxation time (MRT) collision scheme of the LB equations was used in the simulation. Porous media were prepared using the random packing method. Laminar flow and turbulent flow were simulated separately for particle Reynolds numbers in a range from 0.001 to 3,000. It was proven that in addition to the influence of porosity and particle size distribution on the permeability, the influence of the Reynolds number was obvious and could not be ignored. As the Reynolds number increased, the permeability of porous media decreased gradually. Based on the numerical simulation results, a modified formula for the permeability coefficient is proposed.
26 Oct 2023Submitted to ESS Open Archive
26 Oct 2023Published in ESS Open Archive