Sub-particle-scale investigation of seepage in sands

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Title: Sub-particle-scale investigation of seepage in sands
Author(s): Taylor, HF
O'Sullivan, C
Sim, W
Carr, S
Item Type: Journal Article
Abstract: While seepage poses significant challenges to many geotechnical projects and hydraulic conductivity is a key soil property, fundamental pore - scale understanding of water flow in soil is poor. The seepage velocities considered in geotechnical engineering are area - averaged flow rates and their relation to t he actual fluid velocity is unclear. S ome of the predictive formulae for sand currently used in engineering practi c e were developed using simplified particle - scale analytical models whose validity is not well - established . Recent advances in modelling and imaging enable these uncertainties associated with seepage to be addressed and this paper proposes a first principles simulation approach in which flow in the void space is modelled by applying Computational Fluid Dynamics (CFD) to void geometries obtained using X - ray micro - Computed Tomography (microCT) . The model was verified by comparison with hydraulic conductivity data from laboratory permeameter tests on t he same materials . The data generated provide significant sub - particle - scale insight into fluid velocities and head loss. The results are used to show that existing models for predict ing hydraulic conductivity struggle to account for the full range of particle variables and fail to explain the true governing variables , which relate to the micro - scale properties of the void space.
Publication Date: 22-May-2017
Date of Acceptance: 24-Feb-2017
URI: http://hdl.handle.net/10044/1/45018
DOI: https://dx.doi.org/10.1016/j.sandf.2017.05.010
ISSN: 0038-0806
Publisher: Elsevier
Start Page: 439
End Page: 452
Journal / Book Title: Soils and Foundations
Volume: 57
Issue: 3
Copyright Statement: © 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: Science & Technology
Technology
Physical Sciences
Engineering, Geological
Geosciences, Multidisciplinary
Engineering
Geology
Seepage
Sands
Permeability
Numerical modelling
Laboratory tests (IGC: D04/E13)
POROUS-MEDIA
SIZE DISTRIBUTIONS
CONSTRICTION SIZE
GRANULAR FILTERS
FLOW
PORE
IMAGES
LIQUEFACTION
TORTUOSITY
SIMULATION
0905 Civil Engineering
Geological & Geomatics Engineering
Publication Status: Published
Embargo Date: 2018-05-22
Appears in Collections:Faculty of Engineering
Civil and Environmental Engineering



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