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@article{Knight:2020:10.1016/j.compgeo.2019.103210,
author = {Knight, C and O'Sullivan, C and Dini, D and Van, Wachem B},
doi = {10.1016/j.compgeo.2019.103210},
journal = {Computers and Geotechnics},
pages = {1--16},
title = {Computing drag and interactions between fluid and polydisperse particles in saturated granular materials},
url = {http://dx.doi.org/10.1016/j.compgeo.2019.103210},
volume = {117},
year = {2020}
}
TY - JOUR
AB - Fundamental numerical studies of seepage induced geotechnical instabilities and filtration processes depends on accurate prediction of the forces imparted on the soil grains by the permeating fluid. Hitherto coupled Discrete Element Method (DEM) simulations documented in geomechanics have most often simulated the fluid flow using computational fluid dynamics (CFD) models employing fluid cells that contain a number of particles. Empirical drag models are used to predict the fluid-particle interaction forces using the flow Reynolds number and fluid cell porosity. Experimental verification of the forces predicted by these models at the particle-scale is non-trivial. This contribution uses a high resolution immersed boundary method to model the fluid flow within individual voids in polydisperse samples of spheres to accurately determine the fluid-particle interaction forces. The existing drag models are shown to poorly capture the forces on individual particles in the samples for flow with low Reynolds number values. An alternative approach is proposed in which a radical Voronoi tesselation is applied to estimate a local solids volume fraction for each particle; this local solids fraction can be adopted in combination with existing expressions to estimate the drag force. This tessellation-based approach gives a more accurate prediction of the fluid particle interaction forces.
AU - Knight,C
AU - O'Sullivan,C
AU - Dini,D
AU - Van,Wachem B
DO - 10.1016/j.compgeo.2019.103210
EP - 16
PY - 2020///
SN - 0266-352X
SP - 1
TI - Computing drag and interactions between fluid and polydisperse particles in saturated granular materials
T2 - Computers and Geotechnics
UR - http://dx.doi.org/10.1016/j.compgeo.2019.103210
UR - https://www.sciencedirect.com/science/article/pii/S0266352X19302745
UR - http://hdl.handle.net/10044/1/73654
VL - 117
ER -