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An extended Greenwood-Williamson modelbased normal interaction law for discrete element modelling of spherical particles with surface roughness / Tingting Zhao, Y.T. Feng, Min Wang, Yuntian Feng

International Journal for Numerical and Analytical Methods in Geomechanics

Swansea University Author: Yuntian Feng

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DOI (Published version): 10.1002/nag.2805

Abstract

The current work aims to develop an improved random normal interaction law based on an extended Greenwood‐Williamson (GW) model for spherical particles with surface roughness in the discrete element modelling of particle systems. The extended GW model overcomes some theoretical defects of the classi...

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Published in: International Journal for Numerical and Analytical Methods in Geomechanics
ISSN: 0363-9061
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa40270
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Abstract: The current work aims to develop an improved random normal interaction law based on an extended Greenwood‐Williamson (GW) model for spherical particles with surface roughness in the discrete element modelling of particle systems. The extended GW model overcomes some theoretical defects of the classic GW model when incorporated into the discrete element framework. Based on 2 nondimensional forms in which only 2 surface roughness parameters are involved, an empirical formula of the improved interaction law is derived by the curve‐fitting technique. The resulting interaction law is incorporated into discrete element modelling to investigate the mechanical response of particle systems with different surface roughness. Numerical simulations are performed to model 1‐dimensional and 3‐dimensional compression tests to explore the macro and micro characteristics of granular particles with surface roughness. The results show that surface roughness makes the initial packing of a particle assembly looser and has a greater influence on looser packed samples as expected, but an assembly with moderate roughness may exhibit a higher strength. The limitations of the current development are also highlighted.
College: College of Engineering