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      Effects of grain size on subaerial granular landslides and resulting impulse waves: experiment and multi-phase flow simulation

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      Landslides
      Springer Science and Business Media LLC

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          A constitutive law for dense granular flows.

          A continuum description of granular flows would be of considerable help in predicting natural geophysical hazards or in designing industrial processes. However, the constitutive equations for dry granular flows, which govern how the material moves under shear, are still a matter of debate. One difficulty is that grains can behave like a solid (in a sand pile), a liquid (when poured from a silo) or a gas (when strongly agitated). For the two extreme regimes, constitutive equations have been proposed based on kinetic theory for collisional rapid flows, and soil mechanics for slow plastic flows. However, the intermediate dense regime, where the granular material flows like a liquid, still lacks a unified view and has motivated many studies over the past decade. The main characteristics of granular liquids are: a yield criterion (a critical shear stress below which flow is not possible) and a complex dependence on shear rate when flowing. In this sense, granular matter shares similarities with classical visco-plastic fluids such as Bingham fluids. Here we propose a new constitutive relation for dense granular flows, inspired by this analogy and recent numerical and experimental work. We then test our three-dimensional (3D) model through experiments on granular flows on a pile between rough sidewalls, in which a complex 3D flow pattern develops. We show that, without any fitting parameter, the model gives quantitative predictions for the flow shape and velocity profiles. Our results support the idea that a simple visco-plastic approach can quantitatively capture granular flow properties, and could serve as a basic tool for modelling more complex flows in geophysical or industrial applications.
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            ON THE VALIDATION OF MODELS

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              Computational Methods for Fluid Dynamics

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Landslides
                Landslides
                Springer Science and Business Media LLC
                1612-510X
                1612-5118
                January 2022
                October 01 2021
                January 2022
                : 19
                : 1
                : 137-153
                Article
                10.1007/s10346-021-01760-z
                0a5b7f52-edde-4d12-bdd7-3366c6ba904c
                © 2022

                https://www.springernature.com/gp/researchers/text-and-data-mining

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