Efficacy of simple continuum models for diverse granular intrusions
Name
d1sm00130b.pdf
Size
6.41 MB
Format
Adobe PDF
Checksum (MD5)
941f35d20ea625d344c35ac8a5fafae4
Author(s)
Agarwal, Shashank
Karsai, Andras
Goldman, Daniel I.
Kamrin, Kenneth N
Date Issued
June 2021
Journal
Soft Matter
Publisher
Royal Society of Chemistry (RSC)
Citation
Agarwal, Shashank et al. "Efficacy of simple continuum models for diverse granular intrusions." Soft Matter 17, 30 (June 2021): 7196. © 2021 The Royal Society of Chemistry
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution Noncommercial 3.0 unported license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1039/d1sm00130b
