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A theory for the rapid flow of identical, smooth, nearly elastic, spherical particles

Jenkins, J. T., Savage, S. B.·1983·Journal of Fluid Mechanics

Abstract

We focus attention on an idealized granular material comprised of identical, smooth, imperfectly elastic, spherical particles which is flowing at such a density and is being deformed at such a rate that particles interact only through binary collisions with their neighbours. Using general forms of the probability distribution functions for the velocity of a single particle and for the likelihood of binary collisions, we derive local expressions for the balance of mass, linear momentum and fluctuation kinetic energy, and integral expressions for the stress, energy flux and energy dissipation that appear in them. We next introduce simple, physically plausible, forms for the probability densities which contain as parameters the mean density, the mean velocity and the mean specific kinetic energy of the velocity fluctuations. This allows us to carry out the integrations for the stress, energy flux and energy dissipation and to express these in terms of the mean fields. Finally, we determine the behaviour of these fields as solutions to the balance laws. As an illustration of this we consider the shear flow maintained between two parallel horizontal plates in relative motion.

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Metadata

Authors
Jenkins, J. T., & Savage, S. B.
Venue
Journal of Fluid Mechanics
Published
1983-05
Volume
130
Pages
187-202
ISSN
  • 0022-1120 (ISSN-L)
  • 1469-7645
OpenAlex
W2158022963
Cited by
1,387
References
0
FWCI
17.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A theory for the rapid flow of identical, smooth, nearly elastic, spherical particles. https://app.cochat.ai/papers/10.1017/s0022112083001044
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Jenkins, J. T., & Savage, S. B. (1983). A theory for the rapid flow of identical, smooth, nearly elastic, spherical particles. Journal of Fluid Mechanics. https://doi.org/10.1017/s0022112083001044

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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.