A comprehensive parametric study of LBM-DEM for immersed granular flows

Yang, Guochen; Jing, Lü; Kwok, C. Y.; Sobral, Y. D.

doi:10.1016/j.compgeo.2019.103100

Cited by 57 publications

(33 citation statements)

References 51 publications

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“…Note that the mean particle diameter in our simulations is around 4.5 times larger than that of the glass beads in Rondon et al (). To simulate the experimental cases reported by Rondon et al () with the same resolution, the number of particles and fluid cells would be more than 10

^{5}

and 10

^{9}

, respectively, which exceeds our available computing power (Yang et al, ). The effect of particle size on collapse dynamics is briefly discussed in section .…”

Section: Modeling Approachmentioning

confidence: 91%

“…The coupled LBM-DEM scheme presented in section 2.1 has been validated against a series of benchmark problems, together with a direct comparison between numerical results and experimental measurements regarding the immersed granular collapse (Yang et al, 2019). It was found that at least 20 lattice cells per particle diameter should be adopted to keep the errors in hydrodynamic forces below 5%.…”

Section: Validation Of Viscous Dragmentioning

confidence: 99%

“…907867). Details of the numerical model can be found in Yang et al (2019). We also would like to thank the editor Noah Finnegan, the Associate Editor, and three anonymous reviewers for insightful comments.…”

Section: Acknowledgmentsmentioning

confidence: 99%

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Pore‐Scale Simulation of Immersed Granular Collapse: Implications to Submarine Landslides

et al. 2020

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The collapse of granular columns in a viscous fluid is a common model case for submarine geophysical flows. In immersed granular collapses, dense packings result in slow dynamics and short runout distances, while loose packings are associated with fast dynamics and long runout distances. However, the underlying mechanisms of the collapse initiation and runout, particularly regarding the complex fluid-particle interactions at the pore scale, are yet to be fully understood. In this study, a three-dimensional approach coupling the lattice Boltzmann method and the discrete element method is adopted to investigate the influence of packing density on the collapsing dynamics. As a supplement to previous experimental measurements, the direct numerical simulation of fluid-particle interactions explicitly provides micromechanical evidence of the pore pressure feedback mechanism. In dense cases, a strong arborescent contact force network can form to prevent particles from sliding, resulting in a creeping failure behavior. In contrast, the granular phase is liquefied substantially in loose cases, leading to a rapid and catastrophic failure. This opposing dilative/contractive behavior linked to the initial packing is robust and does not depend on the column size. Furthermore, hydroplaning can take place in large enough loose cases due to the fast-moving surge front, which reduces the frictional resistance dramatically and thereby results in a long runout distance. More quantitatively, we are able to linearly correlate the normalized runout distance and the densimetric Froude number across a wide range of length scales, including small-scale numerical/experimental data and large-scale field data.

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^{5}

and 10

^{9}

, respectively, which exceeds our available computing power (Yang et al, ). The effect of particle size on collapse dynamics is briefly discussed in section .…”

Section: Modeling Approachmentioning

confidence: 91%

Section: Validation Of Viscous Dragmentioning

confidence: 99%

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Pore‐Scale Simulation of Immersed Granular Collapse: Implications to Submarine Landslides

et al. 2020

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“…In addition to this added complexity, the computational CPU cost, which is one of the deficiencies of DEM-LBM, will further increase. From the latest report by Yang et al 45 and our previous experience, when the size ratio of the (mean) particle diameter to the lattice spacing is greater than or equal to 20, numerical results are found insensitive to the weighting function. To avoid the complicated treatment for special cases and expensive computational costs, we propose a simplified IMB as follows…”

Section: F I G U R E 2 Diagram Of Imb Schemementioning

confidence: 91%

“…38 A more efficient searching algorithm and a Gaussian integration for calculating a nodal solid area were developed to improve the computing efficiency of DEM-LBM in our latest work. 39,40 Applications of this hybrid DEM-LBM-IMB technique can be found in hydraulic fracture, 13,41 sand production, 42,43 soil erosion, 5 liquefaction, 44 and immersed granular column collapse, 45 to name a few.…”

Section: Introductionmentioning

confidence: 99%

Instability and treatments of the coupled discrete element and lattice Boltzmann method by the immersed moving boundary scheme

Wang

Feng

et al. 2020

Numerical Meth Engineering

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The immersed moving boundary (IMB) scheme has been extensively used to couple the discrete element method (DEM) with the lattice Boltzmann method (LBM). In the literature, only the formulation of IMB for lattice nodal cells covered by a single-solid particle was given. The treatment of situations where a nodal cell is covered by two or more solid particles is seldom discussed. It is found that some numerical instability can occur for such situations due to an inappropriate computation of the weighting function in the IMB formulation. This work presents an enhanced treatment that can resolve the issue and validates it using some benchmark tests. Furthermore, to avoid the extra costs associated with the treatment and simplify the complicated procedure introduced, a simplified IMB scheme is proposed. The accuracy of both enhanced and simplified IMB schemes are validated by test cases including single-particle sedimentation, two-particle drafting-kissing-tumbling phenomenon, and multiple-particle sedimentation. Then, the robustness of both schemes is examined and discussed using a specially designed flow past cylinders test. The simplified IMB scheme is proved to be robust and sufficiently accurate and simpler and more effective than the enhanced scheme.

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Study on the effect of ionic strength on particle migration and deposition in porous media covered by biofilm based on coupled Lattice Boltzmann method and Discrete element method

Hong

Chen

Gong

et al. 2022

Asia-Pacific J Chem Eng

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Biofilms covering porous media will interact with particles and affect particle migration. In order to investigate the migration mechanism of particles in porous media covered by biofilms, the migration process of particles with different particle sizes under the condition of the changing ionic strength is analyzed by using the lattice Boltzmann method–discrete element method (LBM‐DEM) coupling method from mesoscopic scale. The variation patterns of ion strength include gradient and mutation, respectively. Also, the agglomeration of particles at the pore throat in porous media is investigated under different conditions. The main results are obtained as follows. First, both the change of ionic strength and its changing mode significantly affect the migration behavior of particles in NaCl solution but have little effect on the behavior of particles in CaCl2 solution. Second, when the pressure difference between the pressure difference between the inlet and outlet of porous media is 0.4 kPa, the residual permeability of 1.5‐μm particles in the NaCl solution with ionic strength mutation is the highest, which has value of 64.92%. Third, at the specific flow rate, the particles in low ionic strength solution are more likely to be settled. The attraction of particles in the CaCl2 solution is one order of magnitude less than that in the NaCl solution, and the accumulated particles are more likely to be dispersed.

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A comprehensive parametric study of LBM-DEM for immersed granular flows

Cited by 57 publications

References 51 publications

Pore‐Scale Simulation of Immersed Granular Collapse: Implications to Submarine Landslides

Pore‐Scale Simulation of Immersed Granular Collapse: Implications to Submarine Landslides

Instability and treatments of the coupled discrete element and lattice Boltzmann method by the immersed moving boundary scheme

Study on the effect of ionic strength on particle migration and deposition in porous media covered by biofilm based on coupled Lattice Boltzmann method and Discrete element method

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