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An analytical model to predict water retention curves for granular materials using the grain-size distribution curve Cover

An analytical model to predict water retention curves for granular materials using the grain-size distribution curve

Studia Geotechnica et Mechanica
Volume 44 (2022): Issue 4 (December 2022)
By: Linda Bouacida,  Sadok Feia,  Sid Ali Denine and  Noureddine Della  
Open Access
|Dec 2022

Authors

Linda Bouacida

Civil Engineering Research Laboratory, Biskra University, Biskra, Algeria

Sadok Feia

Civil Engineering Research Laboratory, Biskra University, Biskra, Algeria

Sid Ali Denine

Department of Civil Engineering, University Center of Tipaza, Laboratory of Material Science and Environment (LMSE), Hassiba Benbouali University of Chlef

Noureddine Della

n.della@univ-chlef.dz

Laboratory of Material Science and Environment (LMSE), Hassiba Benbouali University of Chlef, Algeria
DOI: https://doi.org/10.2478/sgem-2022-0025 | Journal eISSN: 2083-831X | Journal ISSN: 0137-6365
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Language: English
Page range: 354 - 369
Submitted on: Jan 1, 2022
Accepted on: Sep 27, 2022
Published on: Dec 10, 2022
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
sand,
mean grain size,
mean pore size,
density index,
model,
pore size distribution,
water retention curve
Related subjects:
Geosciences,
Geosciences, other,
Materials sciences,
Composites,
Porous materials,
Physics,
Mechanics and fluid dynamics

© 2022 Linda Bouacida, Sadok Feia, Sid Ali Denine, Noureddine Della, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

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