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Predictions of segregation of granular material with the aid of PHYSICA, a 3-D unstructured finite-volume modelling framework

Predictions of segregation of granular material with the aid of PHYSICA, a 3-D unstructured finite-volume modelling framework

Christakis, Nicholas, Patel, Mayur K., Cross, Mark, Baxter, John, Abou-Chakra, Hadi and Tuzun, Ugur (2002) Predictions of segregation of granular material with the aid of PHYSICA, a 3-D unstructured finite-volume modelling framework. In: International Journal for Numerical Methods in Fluids. Special Issue: ICFD Conference on Numerical Methods for Fluid Dynamics. John Wiley & Sons, Ltd., pp. 281-291. ISSN 0271-2091 (Print), 1097-0363 (Online) (doi:10.1002/fld.319)

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Abstract

In this paper a continuum model for the prediction of segregation in granular material is presented. The numerical framework, a 3-D, unstructured grid, finite-volume code is described, and the micro-physical parametrizations, which are used to describe the processes and interactions at the microscopic level that lead to segregation, are analysed. Numerical simulations and comparisons with experimental data are then presented and conclusions are drawn on the capability of the model to accurately simulate the behaviour of granular matter during flow.

Item Type: Conference Proceedings
Title of Proceedings: International Journal for Numerical Methods in Fluids. Special Issue: ICFD Conference on Numerical Methods for Fluid Dynamics
Additional Information: [1] ICFD Conference on Numerical Methods for Fluid Dynamics was held in Oxford, UK on 26-29 March 2001
Uncontrolled Keywords: granular material, segregation, continuum modelling, micro-physical parametrizations
Subjects: Q Science > QA Mathematics
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
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Last Modified: 14 Oct 2016 09:00
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/554

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