Characterization and prediction of the effects of random factors on buffering efficiency in slope-cushion layer collisions through the discrete element method

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computational Particle Mechanics Pub Date : 2024-09-12 DOI:10.1007/s40571-024-00826-8
Shao-zhen Duan, Guang-li Li, Xin Yang
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Abstract

This study developed a numerical model based on the discrete element method to investigate the characteristics of a granular slope-cushion layer during collision. The model considered the influence of cushion particle radius, incidence velocity, cushion thickness, and initial rotational angular velocity. The results indicated that a larger cushion particle radius generated a stronger impact force and a higher percentage increase (up to 34%) in the impact force. The counterclockwise initial angular velocity of the rockfall facilitated the splashing of the cushion particles at the bottom of the slope cushion. The clockwise motion of the rockfall results in its bouncing on the surface of the slope–cushion system. Using the normalization method, the maximum impact force, penetration depth, and energy dissipation ratio were fitted as functions of cushion thickness. The results of this study provide a solid theoretical foundation for the design of slope-cushion layers.

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通过离散元法表征和预测斜面缓冲层碰撞中随机因素对缓冲效率的影响
本研究基于离散元法建立了一个数值模型,以研究碰撞过程中颗粒斜坡缓冲层的特性。该模型考虑了缓冲颗粒半径、入射速度、缓冲厚度和初始旋转角速度的影响。结果表明,缓冲颗粒半径越大,产生的撞击力越大,撞击力增加的百分比也越高(高达 34%)。落石的逆时针初始角速度有利于缓冲颗粒在斜坡缓冲区底部飞溅。落石的顺时针运动导致其在斜坡缓冲系统表面反弹。利用归一化方法,将最大冲击力、穿透深度和能量耗散比拟合为缓冲垫厚度的函数。研究结果为斜坡缓冲层的设计提供了坚实的理论基础。
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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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