An analytical model to predict water retention curves for granular materials using the grain-size distribution curve
Catégorie d'article: Original Study
Publié en ligne: 10 déc. 2022
Pages: 354 - 369
Reçu: 01 janv. 2022
Accepté: 27 sept. 2022
DOI: https://doi.org/10.2478/sgem-2022-0025
Mots clés
© 2022 Linda Bouacida et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
The present work aims to propose a new analytical model intended to predict the water retention curves for granular materials based on data from tensiometric tests. Different analytical models have been used for the evaluation of soil water retention curves so far. It should be noted that the proposed model considers only one criterion in the selection of soils. This criterion is the physical property of particle distribution curve that can be used to determine the values of