E. Imre
Using grain size distribution to estimate permeability
Imre, E.; Bálint, Á.; Houng, D. T. Q.; López, L. L.; Répássy, L.; Mwinken, D. K.; Illés, Zs.; Datcheva, M.; Baille, W.; Barreto, D.; Leak, J.; Feng, S.
Authors
Á. Bálint
D. T. Q. Houng
L. L. López
L. Répássy
D. K. Mwinken
Zs. Illés
M. Datcheva
W. Baille
Dr Daniel Barreto Gonzalez D.Barreto@napier.ac.uk
Lecturer T&S
Dr James Leak J.Leak@napier.ac.uk
University Tutor
S. Feng
Abstract
This study examines the saturated water permeability using samples of loose and dense 2-fraction coarse sand mixtures. Besides the non-normalised entropy variables some additional parameters like density, diameter descriptors are used to characterize the pore sizes. The density parameter has paramount importance. Two diameter variables (Cu and d10) and the non-normalised base entropy variables (ΔS and S0) are compared.
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | XVIII European Conference on Soil Mechanics and Geotechnical Engineering |
Start Date | Aug 26, 2024 |
End Date | Aug 30, 2024 |
Acceptance Date | Nov 30, 2023 |
Deposit Date | Apr 20, 2024 |
Book Title | Proceedings of the XVIII ECSMGE 2024 |
ISBN | 9781032548166 |
Keywords | grading entropy, saturated permeability, coarse sand, model fitting, specific surface area, harmonic mean |
Public URL | http://researchrepository.napier.ac.uk/Output/3597283 |
Related Public URLs | https://www.ecsmge-2024.com/ |
This file is under embargo due to copyright reasons.
Contact repository@napier.ac.uk to request a copy for personal use.
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