scholarly journals Lattice Boltzmann-Discrete Element Modeling Simulation of SCC Flowing Process for Rock-Filled Concrete

Materials ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3128 ◽  
Author(s):  
Song-Gui Chen ◽  
Chuan-Hu Zhang ◽  
Feng Jin ◽  
Peng Cao ◽  
Qi-Cheng Sun ◽  
...  
Keyword(s):  
Porous Media ◽  
Lattice Boltzmann ◽  
Moving Boundary ◽  
Single Channel ◽  
Particle Diameter ◽  
Discrete Element ◽  
Solid Particles ◽  
Discrete Element Modeling ◽  
Coarse Aggregates ◽  
Passing Ability

Since invented in 2003, rock-filled concrete (RFC) has gained much attention and has been successfully applied in more and more civil and hydraulic projects in China. This study developed a numerical framework to simulate self-compacting concrete (SCC) flows in the voids among rocks of RFC, which couples the lattice Boltzmann method and discrete element method (DEM). The multiple-relaxation-time scheme is used to simulate self-compacting mortar (SCM) for better stability while the motion of coarse aggregates in SCC is simulated with DEM. The immersed moving boundary method is incorporated to deal with the interactions between coarse aggregates and SCM. After validation, the coupled framework is applied to study SCC flows in a single channel and in porous media with multi-channels. A passing factor PF was proposed and calculated to describe quantitatively the passing ability of SCC through a single channel. The study found that jamming of SCC occurs when the ratio Ar of the gap width to particle diameter is smaller than 2.0 and the jamming risk increases with solid particles fraction while the passing ability has a weak relation with the pressure gradient. Further, SCC flow is self-tuning in porous media with multi-channels and it is prone to go through larger or wider gaps. Exceeded existence of narrow gaps will significantly increase the jamming risk.

scholarly journals An improved immersed moving boundary for the coupled discrete element lattice Boltzmann method

2018 ◽  
Vol 177 ◽  
pp. 12-19 ◽  
Author(s):  
Cheng Cheng ◽  
S.A. Galindo-Torres ◽  
Xiaobing Zhang ◽  
Pei Zhang ◽  
A. Scheuermann ◽  
...  
Keyword(s):  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Moving Boundary ◽  
Discrete Element ◽  
Boltzmann Method

Numerical Investigation of the Influence of Fiber Geometry on Filtration Performance With a Coupled Lattice Boltzmann–Discrete Element Method

2019 ◽  
Vol 87 (1) ◽  
Author(s):  
Jianhua Fan ◽  
Franck Lominé ◽  
Mustapha Hellou
Keyword(s):  
Reynolds Number ◽  
Pressure Drop ◽  
Lattice Boltzmann ◽  
Density Ratio ◽  
Discrete Element ◽  
Solid Particles ◽  
Capture Efficiency ◽  
Fibrous Filter ◽  
Cross Sectional ◽  
Filtration Performance

Abstract Motion and deposition of solid particles in fibrous filter with circular, diamond, and square fibers are numerically investigated. A coupled Lattice Boltzmann (LB) and discrete element (DE) method is presented and applied to simulate the filtration process in particulate flow, taking into account the mutual interaction between fluid and particle. The influence of pertinent parameters such as the Reynolds number, the particle-to-fiber diameter ratio, and the particle-to-fluid density ratio on filtration performance (pressure drop and capture efficiency) is analyzed for fibrous filter with different fiber cross-sectional shapes. The simulation results indicate that both the pressure drop and the capture efficiency of filter are considerably affected by the fiber’s shape. Dimensionless drag force increases with the Reynolds number when Re > 1. The filter with diamond fiber has a lower pressure drop than that of the circular and square cases. Meanwhile, the deposition of particles on the surface of square fiber is more favorable. From the filter quality factor standpoint, filter with diamond fiber exhibits a better filtration performance.

INVESTIGATING THE PERMEABILITY–POROSITY RELATION OF PERCOLATION-BASED POROUS MEDIA USING THE LATTICE BOLTZMANN METHOD

2017 ◽  
Vol 20 (10) ◽  
pp. 899-919 ◽  
Author(s):  
Sajjad Foroughi ◽  
Mohsen Masihi ◽  
Saeid Jamshidi ◽  
Mahmoud Reza Pishvaie
Keyword(s):  
Porous Media ◽  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Boltzmann Method

scholarly journals Waterfall Algorithm as a tool of investigation the geometrical features of granular porous media

2021 ◽  
Author(s):  
Wojciech Sobieski
Keyword(s):  
Particle Size ◽  
Porous Media ◽  
Lattice Boltzmann ◽  
Granular Media ◽  
Density Ratio ◽  
Geometrical Features ◽  
Granular Porous Media ◽  
Collision Density ◽  
Boltzmann Method ◽  
The Impact

AbstractThe paper describes the so-called Waterfall Algorithm, which may be used to calculate a set of parameters characterising the spatial structure of granular porous media, such as shift ratio, collision density ratio, consolidation ratio, path length and minimum tortuosity. The study is performed for 1800 different two-dimensional random pore structures. In each geometry, 100 individual paths are calculated. The impact of porosity and the particle size on the above-mentioned parameters is investigated. It was stated in the paper, that the minimum tortuosity calculated by the Waterfall Algorithm cannot be used directly as a representative tortuosity of pore channels in the Kozeny or the Carman meaning. However, it may be used indirect by making the assumption that a unambiguous relationship between the representative tortuosity and the minimum tortuosity exists. It was also stated, that the new parameters defined in the present study are sensitive on the porosity and the particle size and may be therefore applied as indicators of the geometry structure of granular media. The Waterfall Algorithm is compared with other methods of determining the tortuosity: A-Star Algorithm, Path Searching Algorithm, Random Walk technique, Path Tracking Method and the methodology of calculating the hydraulic tortuosity based on the Lattice Boltzmann Method. A very short calculation time is the main advantage of the Waterfall Algorithm, what meant, that it may be applied in a very large granular porous media.

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