| Issue |
E3S Web Conf.
Volume 205, 2020
2nd International Conference on Energy Geotechnics (ICEGT 2020)
|
|
|---|---|---|
| Article Number | 12004 | |
| Number of page(s) | 7 | |
| Section | Minisymposium: Low Carbon Geotechnical Engineering (organized by Alessandro Tarantino, Enrique Romero, and Alessio Ferrari) | |
| DOI | https://doi.org/10.1051/e3sconf/202020512004 | |
| Published online | 18 November 2020 | |
A numerical parametric study on the efficiency of prestressed geogrid reinforced soil
1 Research Scholar, Department of Civil Engineering, Indian Institute of Technology, 208016, Kanpur, Uttar Pradesh, India
2 Professor, Department of Civil Engineering, Indian Institute of Technology, 247667 Roorkee, Uttarakhand India
* Corresponding author: soukat@iitk.ac.in
Prestressing geosynthetics offers a rapid and safe method of improving the poor ground conditions. This paper aims to find out the effect of prestressing the geogrid layer on load bearing and settlement performance. This study also takes into account the impact of the size, depth of placement and the adjacency of footing, for unreinforced (UR), geogrid reinforced (GR) and prestressed geogrid reinforced (PGR) soil on the load-bearing and the settlement characteristics by using the finite element program Plaxis 3D. Based on numerical simulation, it appears that PGR soil can enhance the bearing pressure of the UR soil by almost 500% and reduced the settlement by nearly 88 % by reducing the energy consumption. The footing placed at higher depths for PGR soil gives better performance as compared to GR soil. Moreover, placing two adjacent square footing increases the interference zone of PGR soil by 67% as compared to UR soil. This method can be instrumental in reducing the total input energy requirement to achieve a certain settlement during placement of shallow foundation for various important structures while being economic simultaneously.
© The Authors, published by EDP Sciences, 2020
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.
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