Mean Stress Tensor of Discrete Particle Systems in Submerged Conditions
Zhuan Ge, Teng Man, and Sergio Andres Galindo-Torres

TL;DR
This paper derives a comprehensive mean stress tensor for submerged granular materials using Hamilton's principle, validated through DEM-LBM simulations, enabling better understanding of fluid-solid interactions in complex environments.
Contribution
It introduces a novel formula for the mean stress tensor in submerged granular systems, incorporating various force contributions and validated by numerical simulations.
Findings
Accurately calculates stress tensor in submerged granular assemblies.
Separates effects of different force fields on stress distribution.
Validates the formula through DEM-LBM simulations of granular collapses.
Abstract
The mean stress tensor is essential to investigate the dynamics of granular material. In this paper, we use Hamilton's principle of least action to derive the averaged stress tensor of discrete granular assemblies subjected to hydraulic force fields, as well as rigorous conditions for a proper definition of the Representative Volume Element (RVE). The main goal behind our efforts is to upscale particle physics into a sound stress tensor for systems involving the complex interaction between grains and water. We identify the contributions from the unbalanced forces, hydraulic forces, gravity, external forces, and particle fluctuation to the mean stress tensor. In doing so, it is convenient to separate the influence of different force fields when the granular system is subjected to complex environments, e.g., subaqueous conditions. The obtained formula is then validated by triaxial test…
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Taxonomy
TopicsGranular flow and fluidized beds · Landslides and related hazards · Lattice Boltzmann Simulation Studies
