Evaluation of Mesostructure of Particulate Composites by Quantitative Stereology and Random Sequential Packing Model of Mono-/Polydisperse Convex Polyhedral Particles

2013 ◽  
Vol 52 (20) ◽  
pp. 6678-6693 ◽  
Author(s):  
Wenxiang Xu ◽  
Huisu Chen ◽  
Lin Liu
Keyword(s):  
Particulate Composites ◽  
Convex Polyhedral ◽  
Polyhedral Particles ◽  
Packing Model ◽  
Quantitative Stereology

scholarly journals Multisphere Representation of Convex Polyhedral Particles for DEM Simulation

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Qiang Zhang ◽  
Chaojun Jia ◽  
Jun Yu ◽  
Jiawen Zhou
Keyword(s):  
Particle Surface ◽  
Good Representation ◽  
Dem Simulation ◽  
Convex Polyhedral ◽  
Polyhedral Particles ◽  
Complex Shapes ◽  
Mass Properties ◽  
Polyhedral Particle ◽  
A Current ◽  
2D To 3D

The representation of particles of complex shapes is one of the key challenges of numerical simulations based on the discrete element method (DEM). A novel algorithm has been developed by the authors to accurately represent 2D arbitrary particles for DEM modelling. In this paper, the algorithm is extended from 2D to 3D to model convex polyhedral particles based on multisphere methods, which includes three steps: the placement of spheres at the corners, along the edges, and on the facets in sequence. To give a good representation of a polyhedral particle, the spheres are placed tangent to the particle surface in each step. All spheres placed in the three steps are clumped together into a clump in DEM. In addition, the mass properties of the clump are determined based on the corresponding polyhedral particle to obtain accurate simulation results. Finally, an example is used to validate the robust and automatic performance of the algorithm in generating a sphere clump model for an assembly of polyhedral particles. A current FORTRAN version of the algorithm is available by contacting the authors.

Application of particle packing model in concrete

2017 ◽  
Vol 34 (1) ◽  
pp. 63 ◽  
Author(s):  
Wujian Long ◽  
Bo Zhou ◽  
Peijian Liang ◽  
Roujia Sun
Keyword(s):  
Particle Packing ◽  
Packing Model
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