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Cited by 346

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

Discrete Element Method Simulations for Complex Granular Flows

Guo, Yu, Curtis, Jennifer Sinclair·2015·Annual Review of Fluid Mechanics

Abstract

This review article focuses on the modeling of complex granular flows employing the discrete element method (DEM) approach. The specific topic discussed is the application of DEM models for the study of the flow behavior of nonspherical, flexible, or cohesive particles, including particle breakage. The major sources of particle cohesion—liquid induced, electrostatics, van der Waals forces—and their implementation into DEM simulations are covered. These aspects of particle flow are of great importance in practical applications and hence are the significant foci of research at the forefront of current DEM modeling efforts. For example, DEM simulations of nonspherical grains can provide particle stress information needed to develop constitutive models for continuum-based simulations of large-scale industrial processes.

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Crossref · 10.1146/annurev-fluid-010814-014644

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Metadata

Authors
Guo, Y., & Curtis, J. S.
Venue
Annual Review of Fluid Mechanics
Published
2015-01-03
Volume
47
Issue
1
Pages
21-46
ISSN
  • 0066-4189 (ISSN-L)
  • 1545-4479
OpenAlex
W2160736108
Cited by
346
References
58
FWCI
2.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Discrete Element Method Simulations for Complex Granular Flows. https://app.cochat.ai/papers/10.1146/annurev-fluid-010814-014644
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Guo, Y., & Curtis, J. S. (2015). Discrete Element Method Simulations for Complex Granular Flows. Annual Review of Fluid Mechanics. https://doi.org/10.1146/annurev-fluid-010814-014644

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.