Microstructure-informed probability-driven point-particle model for hydrodynamic forces and torques...
Microstructure-informed probability-driven point-particle model for hydrodynamic forces and torques in particle-laden flows
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Full title
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Publisher
Cambridge, UK: Cambridge University Press
Journal title
Language
English
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Publisher
Cambridge, UK: Cambridge University Press
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Scope and Contents
Contents
We present a novel deterministic model that is capable of predicting particle-to-particle force and torque fluctuations in a fixed bed of randomly distributed monodisperse spheres. First, we generate our dataset by performing particle-resolved direct numerical simulations (PR-DNS) of arrays of stationary spheres in moderately inertial regimes with...
Alternative Titles
Full title
Microstructure-informed probability-driven point-particle model for hydrodynamic forces and torques in particle-laden flows
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2432845212
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2432845212
Other Identifiers
ISSN
0022-1120
E-ISSN
1469-7645
DOI
10.1017/jfm.2020.453
