Issue 30, 2021

Efficacy of simple continuum models for diverse granular intrusions

Abstract

Granular intrusion is commonly observed in natural and human-made settings. Unlike typical solids and fluids, granular media can simultaneously display fluid-like and solid-like characteristics in a variety of intrusion scenarios. This multi-phase behavior increases the difficulty of accurately modeling these and other yielding (or flowable) materials. Micro-scale modeling methods, such as DEM (Discrete Element Method), capture this behavior by modeling the media at the grain scale, but there is often interest in the macro-scale characterizations of such systems. We examine the efficacy of a macro-scale continuum approach in modeling and understanding the physics of various macroscopic phenomena in a variety of granular intrusion cases using two basic frictional yielding constitutive models. We compare predicted granular force response and material flow to experimental data in four quasi-2D intrusion cases: (1) depth-dependent force response in horizontal submerged-intruder motion; (2) separation-dependent drag variation in parallel-plate vertical-intrusion; (3) initial-density-dependent drag fluctuations in free surface plowing, and (4) flow zone development during vertical plate intrusions in under-compacted granular media. Our continuum modeling approach captures the flow process and drag forces while providing key meso- and macro-scopic insights. The modeling results are then compared to experimental data. Our study highlights how continuum modeling approaches provide an alternative for efficient modeling as well as a conceptual understanding of various granular intrusion phenomena.

Graphical abstract: Efficacy of simple continuum models for diverse granular intrusions

Supplementary files

Article information

Article type
Paper
Submitted
24 Jan 2021
Accepted
25 Jun 2021
First published
29 Jun 2021
This article is Open Access
Creative Commons BY-NC license

Soft Matter, 2021,17, 7196-7209

Efficacy of simple continuum models for diverse granular intrusions

S. Agarwal, A. Karsai, D. I. Goldman and K. Kamrin, Soft Matter, 2021, 17, 7196 DOI: 10.1039/D1SM00130B

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