Your browser doesn't support javascript.
loading
Subdiffusion model for granular discharge in a submerged silo.
Morgan, Miles L; James, David W; Monloubou, Martin; Olsen, Kristian S; Sandnes, Bjørnar.
Afiliação
  • Morgan ML; Faculty of Science and Engineering, Swansea University, Bay Campus, Swansea SA1 8EN, United Kingdom.
  • James DW; Faculty of Science and Engineering, Swansea University, Bay Campus, Swansea SA1 8EN, United Kingdom.
  • Monloubou M; Faculty of Science and Engineering, Swansea University, Bay Campus, Swansea SA1 8EN, United Kingdom.
  • Olsen KS; PoreLab, Department of Physics, University of Oslo, Blindern, 0316 Oslo, Norway.
  • Sandnes B; Faculty of Science and Engineering, Swansea University, Bay Campus, Swansea SA1 8EN, United Kingdom.
Phys Rev E ; 104(4-1): 044908, 2021 Oct.
Article em En | MEDLINE | ID: mdl-34781574
ABSTRACT
Silo discharge has been extensively studied for decades although questions remain regarding the nature of the velocity field, particularly for submerged systems. In this work, fluid-driven granular drainage was performed in a quasi-two-dimensional silo with grains submerged in fluid. While the observed Gaussian velocity profiles were generally consistent with current diffusion models, the diffusion length was found to significantly decrease with height in contrast to the increases previously seen in dry silos. We propose a phenomenological anomalous diffusion model for the spreading of the flow upwards in the cell, with the fluid-driven flows we study here falling in the category of subdiffusive behavior. As the viscous characteristics of the system were amplified, the diffusion length increased and the shape of the flowing zone in the silo changed, deviating further from the parabolic form predicted by traditional normal diffusion models, in effect becoming more subdiffusive as quantified by a decreasing diffusion exponent.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2021 Tipo de documento: Article