| Issue |
E3S Web of Conf.
Volume 382, 2023
8th International Conference on Unsaturated Soils (UNSAT 2023)
|
|
|---|---|---|
| Article Number | 09001 | |
| Number of page(s) | 5 | |
| Section | Water Retention Curves | |
| DOI | https://doi.org/10.1051/e3sconf/202338209001 | |
| Published online | 24 April 2023 | |
A simple model for the water retention curve of compressible biocemented sands using MIP results
1 CERIS/IST Instituto Superior Técnico, Universidade de Lisboa, Av Rovisco Pais, 1 1049-001 Lisbon, Portugal
2 Instituto Superior Técnico, Universidade de Lisboa, Av Rovisco Pais, 1 1049-001 Lisbon, Portugal
3 INESC-MN, R. Alves Redol, 9 1000-029 Lisbon, Portugal
* Corresponding author: rafaela.cardoso@tecnico.ulisboa.pt
Biocementation treatment consists in using bacteria or other biological agents to promote the precipitation of calcium carbonate (biocement) in the soil pores. When used in slopes for protection against surface erosion, this treatment creates a stiff and strong pervious cover, allowing infiltration necessary to reduce water runoff. The knowledge of the water retention properties of biocemented soils is fundamental knowledge for modelling infiltration but it may not be easy. In this paper the water retention curves of two different treated sands were estimated using a simple model obtained from pores size distribution measured using mercury intrusion porosimetry (MIP) tests. The model proposed considers volume changes of the soil during the MIP test due to the compression of air trapped in the voids. The WRC derived from the MIP tests fits well the points measured using a water dewpoint psychrometer, however it is not possible to check curve fitting below the residual water content due to lack of experimental data.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.