Mesostructural characterization of particulate composites via a contact detection algorithm of ellipsoidal particles

Xu, Wenxiang; Chen, Huisu

doi:10.1016/j.powtec.2012.01.016

Cited by 55 publications

(46 citation statements)

References 30 publications

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“…The Derivation of Intersection Points Using the Present Method and the Algorithm of Xu and Chen (2012)…”

Section: Table C1mentioning

confidence: 99%

Packing Fraction, Tortuosity, and Permeability of Granular‐Porous Media With Densely Packed Spheroidal Particles: Monodisperse and Polydisperse Systems

Zhang

et al. 2022

Water Resources Research

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The geometrical and topological configurations of particles have great influences on their surrounding pore tortuosity and the permeability of granular‐porous media. In this work, we develop a relaxation iteration scheme to create random dense packings of different anisotropic‐shaped spheroidal particles with monodispersity and polydispersity in sizes, which manifest the effects of particle shape, fineness, and size distribution on the random packing fraction of particles. Subsequently, we propose a direction‐guided rapidly exploring random tree (DGRRT) algorithm to probe the geometrical tortuosity of complex pore space interstitial to spheroidal particles. A non‐linear pore tortuosity prediction model that relies on the specific surface area and packing fraction of particles, is developed to suit for polydisperse and monodisperse spheroidal particle systems. We further investigate the permeability of granular‐porous media through the lattice Boltzmann method (LBM) of fluid flow. These proposed methods can accurately predict the tortuosity and permeability by comparing against available experimental, theoretical, and numerical results reported in literature. Moreover, the effects of particle packing fraction (i.e., porosity), shape, fineness, and size distribution on the pore tortuosity and permeability of granular‐porous media are evaluated. The results reveal that these microstructural configurations have important influences on the permeability and tortuosity. Our results give an intrinsic interplay between the geometrical tortuosity and permeability of monodisperse and polydisperse particle systems, which have implications for a broad range of scientific disciplines, including the properties of rocks, sandstones and soils, and the design of ultra‐high performance concrete.

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“…The Derivation of Intersection Points Using the Present Method and the Algorithm of Xu and Chen (2012)…”

Section: Table C1mentioning

confidence: 99%

Packing Fraction, Tortuosity, and Permeability of Granular‐Porous Media With Densely Packed Spheroidal Particles: Monodisperse and Polydisperse Systems

Zhang

et al. 2022

Water Resources Research

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“…Fortunately, for polydisperse convex particle systems, S V and N V have been presented in our preliminary works [9][10][11], as given in Eq. (4).…”

Section: Theoretical Estimationmentioning

confidence: 99%

“…where b N indicates an average over a PSD, s is sphericity representing a shape descriptor of convex particles [9][10][11]. D eq is the equivalent diameter characterizing the size of convex particles [9][10][11].…”

Section: Theoretical Estimationmentioning

confidence: 99%

Theoretical estimation for the volume fraction of interfacial layers around convex particles in multiphase materials

Chen

et al. 2013

Powder Technology

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“…PFC v6.0 allows the simulation of systems of mixed spheres and polyhedra using a variant of the contact detection algorithm proposed by Nezami et al [26]. Overlaps between ellipsoids may be detected efficiently using CFR-based algorithms, e.g., [27,28]. A CFR approach for contact resolution of convex superquadrics [29] has been implemented in LIGGGHTS [5].…”

Section: Introductionmentioning

confidence: 99%

Contact detection between convex polyhedra and superquadrics in discrete element codes

Peng

Hanley

2019

Powder Technology

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Particle shape substantially influences the bulk behaviour of granular systems. Hence, much scientific interest has been devoted to the adoption of non-spherical fundamental particles in discrete element method simulations. Two examples of such particles are polyhedra, which are highly angular, and superquadrics, which are best suited to simulate rounded particles. It is desirable to use both types of particle together in a simulation to capture the broadest possible range of particle shapes. In this paper, a novel contact detection algorithm is presented for a convex polyhedron and superquadric. This algorithm was implemented in a C++ code which was used to verify the correctness of the algorithm and evaluate its efficiency using the Monte Carlo method. The proposed contact detection algorithm is particularly efficient for many-faceted polyhedra as the effect of increasing the number of faces on the evaluation time is small.

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Mesostructural characterization of particulate composites via a contact detection algorithm of ellipsoidal particles

Cited by 55 publications

References 30 publications

Packing Fraction, Tortuosity, and Permeability of Granular‐Porous Media With Densely Packed Spheroidal Particles: Monodisperse and Polydisperse Systems

Packing Fraction, Tortuosity, and Permeability of Granular‐Porous Media With Densely Packed Spheroidal Particles: Monodisperse and Polydisperse Systems

Theoretical estimation for the volume fraction of interfacial layers around convex particles in multiphase materials

Contact detection between convex polyhedra and superquadrics in discrete element codes

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