| Issue |
MATEC Web Conf.
Volume 337, 2021
PanAm-Unsat 2021: 3rd Pan-American Conference on Unsaturated Soils
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 7 | |
| Section | Fundamentals and Experimental Investigations | |
| DOI | https://doi.org/10.1051/matecconf/202133701006 | |
| Published online | 26 April 2021 | |
Soil-water retention of highly expansive clay stabilized with a bio-polymer
1 Universidad Nacional de la Patagonia San Juan Bosco, Argentina.
2 Facultad de Ingeniería, Universidad de Buenos Aires (UBA), Argentina.
3 Universidad Politecnica de Madrid (UPM), España
* Corresponding author: diego.manzanal@gmail.com
The unpredictable expansiveness of clayey soils due to the change of water content can be responsible for significant pathologies on civil infrastructure. This behaviour depends mainly on the physical and chemical characteristics of the clayey soil and the stress-suction state of the soil. Extensive research has been carried out to control the swelling potential of clayey soils with traditional inorganic additives such as lime and cement. However, the use of these stabilizers presents adverse implications in terms of cost and environmental impact. Bio-products and waste by-products are an environmentally friendly alternative for geotechnical soil stabilization. In this article, we assess the effect of lignin on the hydro-mechanical behaviour of highly expansive clay. The research focuses on the behaviour upon wetting and the soil-water retention properties of clay and lignin-treated clay with different percentages. Suction measurements were made by using the filter paper technique. Particular emphasis on the mercury intrusion porosimetry analysis of the untreated and treated CR-Clay is done. Results of CR-Clay with lignin-based stabilizer show significant reduction of swelling upon wetting for the higher percentage of addition. Increase of the aggregation is observed with the growth of lignin percentage. An analysis of the soil-water retention properties with the van-Genutchen model is presented.
© The Authors, published by EDP Sciences, 2021
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.