A mixture theory for size and density segregation in shallow granular free-surface flows

Deepak R. Tunuguntla, Onno Bokhove, Anthony R. Thornton

    Research output: Contribution to journalArticleAcademicpeer-review

    88 Citations (Scopus)
    137 Downloads (Pure)

    Abstract

    In the past ten years much work has been undertaken on developing mixture theory continuum models to describe kinetic sieving-driven size segregation. We propose an extension to these models that allows their application to bidisperse flows over inclined channels, with particles varying in density and size. Our model incorporates both a recently proposed explicit formula for how the total pressure is distributed among different species of particles, which is one of the key elements of mixture theory-based kinetic sieving models, and a shear rate-dependent drag. The resulting model is used to predict the range of particle sizes and densities for which the mixture segregates. The prediction of no segregation in the model is benchmarked by using discrete particle simulations, and good agreement is found when a single fitting parameter is used which determines whether the pressure scales with the diameter, surface area or volume of the particle.
    Original languageEnglish
    Pages (from-to)99-112
    Number of pages14
    JournalJournal of fluid mechanics
    Volume749
    DOIs
    Publication statusPublished - 2014

    Keywords

    • Granular segregation
    • Granular media
    • 2023 OA procedure

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