Table of Content

Computational Mechanics of Granular Materials and its Engineering Applications

Submission Deadline: 31 January 2021 (closed)

Guest Editors

Prof. Shunying Ji, Dalian University of Technology, China
Prof. Michael Zhuravkov, Belarusian State University, Belarus
Dr. Zongyan Zhou, Monash University, Australia
Prof. Yuntian Feng, Swansea University, UK

Summary

Granular materials exist widely in nature or industrial production, and form complex granular systems with structures. A granular system has complex mechanical properties of solid or liquid, and quasi-solid-liquid transition may occur under certain conditions. The discrete element method (DEM) was proposed in 1979 and has been shown to be a practical tool for studying the macro and mesoscopic behaviors of various granular materials. In this approach, the particle shape strongly affects the granular packing, dynamic responses, and flow processes of granular materials. Moreover, the conclusions obtained from spherical systems are difficult to apply directly to non-spherical systems. During the flow process, the particles may be rearranged to form an arch structure. The adjacent particles contact with each other to form a force chain structure of varying strength, so that the granular flow is changed from a dense state to a blocked state. Although DEM has been successfully applied to the study of basic physical and mechanical properties of granular materials, there are still many challenges in computational granular mechanics, such as the construction of real particle morphology, flow pattern transition of granular materials, multi-media and multi-scale contact model, force chain network within the granular system, and high-performance parallel algorithm.

The aim of this special issue is to bring together the latest advances in computational mechanics and engineering applications of granular materials, with particular emphasis on the theoretical constructions of arbitrarily shaped particles, flow pattern transitions, GPU parallel algorithms, and multi-scale and multi-media models, and to improve our understanding of granular systems in view of large scale and practical engineering applications.


Keywords

Granular materials, the discrete element method, contact force model, force chain

Published Papers


  • Open Access

    EDITORIAL

    Introduction to the Special Issue on Computational Mechanics of Granular Materials and its Engineering Applications

    Shunying Ji, Michael Zhuravkov, Zongyan Zhou, Yuntian Feng
    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.1, pp. 1-3, 2022, DOI:10.32604/cmes.2022.023238
    (This article belongs to this Special Issue: Computational Mechanics of Granular Materials and its Engineering Applications)
    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Discrete Element Simulations of Ice Load and Mooring Force on Moored Structure in Level Ice

    Hongri Zhu, Shunying Ji
    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.1, pp. 5-21, 2022, DOI:10.32604/cmes.2022.019991
    (This article belongs to this Special Issue: Computational Mechanics of Granular Materials and its Engineering Applications)
    Abstract Moored structures are suitable for operations in ice-covered regions owing to their security and efficiency. This paper aims to present a new method for simulating the ice load and mooring force on the moored structure during ice-structure interaction with a spherical Discrete Element Method (DEM). In this method, the level ice and mooring lines consist of bonded sphere elements arranged in different patterns. The level ice model has been widely validated in simulation of the ice load of fixed structures. In the mooring line simulation, a string of spherical elements was jointed with the parallel bond model to simulate the… More >

  • Open Access

    ARTICLE

    Numerical Analysis of Ice Rubble with a Freeze-Bond Model in Dilated Polyhedral Discrete Element Method

    Biyao Zhai, Lu Liu, Shunying Ji
    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 1-22, 2022, DOI:10.32604/cmes.2022.018652
    (This article belongs to this Special Issue: Computational Mechanics of Granular Materials and its Engineering Applications)
    Abstract Freezing in ice rubble is a common phenomenon in cold regions, which can consolidate loose blocks and change their mechanical properties. To model the cohesive effect in frozen ice rubble, and to describe the fragmentation behavior with a large external forces exerted, a freeze-bond model based on the dilated polyhedral discrete element method (DEM) is proposed. Herein, imaginary bonding is initialized at the contact points to transmit forces and moments, and the initiation of the damage is detected using the hybrid fracture model. The model is validated through the qualitative agreement between the simulation results and the analytical solution of… More >

  • Open Access

    ARTICLE

    DEM Simulations of Resistance of Particle to Intruders during Quasistatic Penetrations

    Shaomin Liang, Lu Liu, Shunying Ji
    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.1, pp. 145-160, 2021, DOI:10.32604/cmes.2021.016403
    (This article belongs to this Special Issue: Computational Mechanics of Granular Materials and its Engineering Applications)
    Abstract Based on the discrete element method and hydrostatics theory, an improved Archimedes principle is proposed to study the rules pertaining to resistance changes during the penetration process of an intruder into the particulate materials. The results illustrate the fact that the lateral contribution to the resistance is very small, while the tangential force of the lateral resistance originates from friction effects. Conversely, the resistance of particulate materials on the intruder mainly occurs at the bottom part of the intruding object. Correspondingly, the factors that determine the resistance of the bottom part of the intruding object and the rules pertaining to… More >

  • Open Access

    ARTICLE

    Deep Learning Predicts Stress–Strain Relations of Granular Materials Based on Triaxial Testing Data

    Tongming Qu, Shaocheng Di, Y. T. Feng, Min Wang, Tingting Zhao, Mengqi Wang
    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.1, pp. 129-144, 2021, DOI:10.32604/cmes.2021.016172
    (This article belongs to this Special Issue: Computational Mechanics of Granular Materials and its Engineering Applications)
    Abstract This study presents an AI-based constitutive modelling framework wherein the prediction model directly learns from triaxial testing data by combining discrete element modelling (DEM) and deep learning. A constitutive learning strategy is proposed based on the generally accepted frame-indifference assumption in constructing material constitutive models. The low-dimensional principal stress-strain sequence pairs, measured from discrete element modelling of triaxial testing, are used to train recurrent neural networks, and then the predicted principal stress sequence is augmented to other high-dimensional or general stress tensor via coordinate transformation. Through detailed hyperparameter investigations, it is found that long short-term memory (LSTM) and gated recurrent… More >

  • Open Access

    ARTICLE

    Analysis of One-Dimensional Compression under a Wide Range of Stress with Densely Arrayed BPM

    Tao Zhang, Ke Xu, Wenxiong Huang
    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 1101-1117, 2021, DOI:10.32604/cmes.2021.015406
    (This article belongs to this Special Issue: Computational Mechanics of Granular Materials and its Engineering Applications)
    Abstract In this paper, the densely arrayed bonded particle model is proposed for simulation of granular materials with discrete element method (DEM) considering particle crushing. This model can solve the problem of pore calculation after the grains are crushed, and reduce the producing time of specimen. In this work, several one-dimensional compressing simulations are carried out to investigate the effect of particle crushing on mechanical properties of granular materials under a wide range of stress. The results show that the crushing process of granular materials can be divided into four different stages according to er-logσy curves. At the end of the… More >

  • Open Access

    ARTICLE

    Flow Characteristics of Grains in a Conical Silo with a Central Decompression Tube Based on Experiments and DEM Simulations

    Huinan Sun, Siqiang Wang, Zhuoqing Zhang, Chaoyong Xia, Xu Chen
    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 855-873, 2021, DOI:10.32604/cmes.2021.015791
    (This article belongs to this Special Issue: Computational Mechanics of Granular Materials and its Engineering Applications)
    Abstract Grains are widely present in industrial productions and processing, and are stored in silos. In the silo, auxiliary structures are added to achieve efficient production. However, little effort has been devoted to the influence of the internal structure of the silo on the granular flow. In this work, a silo with a central decompression tube is studied through experimental measurements and discrete element methods. Then, the influences of the central decompression tube on the flow behavior of grains and wall pressure are analyzed. Results show that the grains are in mass flow in the silo without a central decompression tube,… More >

  • Open Access

    ARTICLE

    Discrete Particle Simulation of Gas-Solid Flow in Air-Blowing Seed Metering Device

    Zhengquan Li, Pei Zhang, Yongchang Sun, Chenglin Zheng, Liang Xu, Dianyu E
    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 1119-1132, 2021, DOI:10.32604/cmes.2021.016019
    (This article belongs to this Special Issue: Computational Mechanics of Granular Materials and its Engineering Applications)
    Abstract In this paper, the gas and seed flow characters in the air-blowing seed metering device are investigated by using the coupled computational fluid dynamics and discrete element method (CFD-DEM) in three dimensions (3D). The method of establishing boundary model based on the computer-aided design (CAD) drawing, has been used to build the boundary model of seed metering device. The 3D laser scanning technique and multi-element method are adopted to establish the particle model. Through a combined numerical and experimental effort, using 3D CFD-DEM software, which is based on the in-house codes, the mechanisms governing the gas and solid dynamic behaviors… More >

  • Open Access

    ARTICLE

    Comparison of Coarse Graining DEM Models Based on Exact Scaling Laws

    Bin Zhang, Yiming Huang, Tingting Zhao
    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 1133-1150, 2021, DOI:10.32604/cmes.2021.016018
    (This article belongs to this Special Issue: Computational Mechanics of Granular Materials and its Engineering Applications)
    Abstract The simulation of a large number of particles requires unacceptable computational time that is the most critical problem existing in the industrial application of the DEM. Coarse graining is a promising approach to facilitate the application of DEM to industrial problems. While the current coarse graining framework is often developed in an ad-hoc manner, leading to different formulations and different solution accuracy and efficiency. Therefore, in this paper, existing coarse graining techniques have been carefully analysed by the exact scaling law which can provide the theory basis for the upscaling method. A proper scaling rule for the size of particles… More >

  • Open Access

    ARTICLE

    Discrete Element Modelling of Dynamic Behaviour of Rockfills for Resisting High Speed Projectile Penetration

    Tingting Zhao, Y. T. Feng, Jie Zhang, Zhihua Wang, Zhiyong Wang
    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.2, pp. 721-735, 2021, DOI:10.32604/cmes.2021.015913
    (This article belongs to this Special Issue: Computational Mechanics of Granular Materials and its Engineering Applications)
    Abstract This paper presents a convex polyhedral based discrete element method for modelling the dynamic behaviour of rockfills for resisting high speed projectile penetration. The contact between two convex polyhedra is defined by the Minkowski overlap and determined by the GJK and EPA algorithm. The contact force is calculated by a Minkowski overlap based normal model. The rotational motion of polyhedral particles is solved by employing a quaternion based orientation representation scheme. The energy-conserving nature of the polyhedral DEM method ensures a robust and effective modelling of convex particle systems. The method is applied to simulate the dynamic behaviour of a… More >

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