Analysis and modeling of heaping behavior of granular mixtures within a computational mechanics framework
Christakis, N., Chapelle, Pierre and Patel, M. K. (2006) Analysis and modeling of heaping behavior of granular mixtures within a computational mechanics framework. Advanced Powder Technology, 17 (4). pp. 383-398. ISSN 0921-8831 (doi:https://doi.org/10.1163/156855206777866173)
Full text not available from this repository.Abstract
This paper presents a continuum model of the flow of granular material during filling of a silo, using a viscoplastic constitutive relation based on the Drucker-Prager plasticity yield function. The performed simulations demonstrate the ability of the model to realistically represent complex features of granular flows during filling processes, such as heap formation and non-zero inclination angle of the bulk material-air interface. In addition, micro-mechanical parametrizations which account for particle size segregation are incorporated into the model. It is found that numerical predictions of segregation phenomena during filling of a binary granular mixture agree well with experimental results. Further numerical tests indicate the capability of the model to cope successfully with complex operations involving granular mixtures.
Item Type: | Article |
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Uncontrolled Keywords: | granular mixtures, continuum model, viscoplastic model, heaping, segregation |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science 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 09:02 |
URI: | http://gala.gre.ac.uk/id/eprint/982 |
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