IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v11y2020i1d10.1038_s41467-020-15263-3.html
   My bibliography  Save this article

Additive rheology of complex granular flows

Author

Listed:
  • Thanh Trung Vo

    (Danang Architecture University
    LMGC, University of Montpellier, CNRS)

  • Saeid Nezamabadi

    (LMGC, University of Montpellier, CNRS
    IATE, UMR1208 INRAE-CIRAD-University of Montpellier-SupAgro)

  • Patrick Mutabaruka

    (LMGC, University of Montpellier, CNRS)

  • Jean-Yves Delenne

    (IATE, UMR1208 INRAE-CIRAD-University of Montpellier-SupAgro)

  • Farhang Radjai

    (LMGC, University of Montpellier, CNRS
    〈MSE〉², UMI MIT-CNRS)

Abstract

Granular flows are omnipresent in nature and industrial processes, but their rheological properties such as apparent friction and packing fraction are still elusive when inertial, cohesive and viscous interactions occur between particles in addition to frictional and elastic forces. Here we report on extensive particle dynamics simulations of such complex flows for a model granular system composed of perfectly rigid particles. We show that, when the apparent friction and packing fraction are normalized by their cohesion-dependent quasistatic values, they are governed by a single dimensionless number that, by virtue of stress additivity, accounts for all interactions. We also find that this dimensionless parameter, as a generalized inertial number, describes the texture variables such as the bond network connectivity and anisotropy. Encompassing various stress sources, this unified framework considerably simplifies and extends the modeling scope for granular dynamics, with potential applications to powder technology and natural flows.

Suggested Citation

  • Thanh Trung Vo & Saeid Nezamabadi & Patrick Mutabaruka & Jean-Yves Delenne & Farhang Radjai, 2020. "Additive rheology of complex granular flows," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15263-3
    DOI: 10.1038/s41467-020-15263-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-15263-3
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-020-15263-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zeyu Xing & Li Wang & Debin Fang, 2023. "Unraveling the dynamics and identifying the “superstars” of R&D alliances in IUR collaboration: a two-mode network analysis in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-19, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15263-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.