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
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引用次数: 0
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.
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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