Analysis And Design Of Spread And Pile Foundations Using Geo5
Keywords:
Spread Foundation, Pile Foundation, GEO5 Software, Geotechnical Engineering, Bearing Capacity, Settlement Analysis, Soil-Structure Interaction, Vertical Load, Lateral Load, Foundation DesignAbstract
The safe and efficient design of foundation systems is a core focus in geotechnical engineering, particularly for structures subjected to varying soil conditions and load demands. This study presents a comprehensive analysis and design of both spread and pile foundations using GEO5, a robust geotechnical software suite that integrates soil mechanics theories with advanced numerical modelling. Spread foundations are analysed for shallow soil conditions with adequate bearing capacity, while pile foundations are considered where deeper, more stable strata are needed to support heavy loads.
A real-time case study was undertaken to demonstrate the practical application of GEO5 in both scenarios. Site-specific soil data was obtained through borehole investigations and laboratory testing, including parameters such as unit weight, cohesion, angle of internal friction, and unconfined compressive strength. For spread foundations, the software evaluated bearing capacity, settlement behaviour, and safety against shear failure. For pile foundations, vertical and lateral load assessments, bearing capacity calculations, settlement predictions, and group effects like pile interaction were thoroughly examined. The analysis compared results from GEO5 with conventional empirical approaches, revealing improved accuracy and visualization in predicting foundation behaviour under complex loading and stratified soil profiles. All designs adhered to relevant IS codes, ensuring structural safety and serviceability. Optimization studies involving varying foundation dimensions were also conducted to identify cost-effective yet stable solutions.
The findings confirm that GEO5 is a powerful tool for designing both shallow and deep foundations, streamlining the engineering process and enhancing the understanding of soil-structure interaction. Its utility extends from academic research to real-world engineering applications, especially in challenging geotechnical environments
Downloads
Metrics
References
Chimdesa, M., Zewdu, E., & Ebissa, K. (2023). Comparative study using PLAXIS 2D and GEO5 on piled raft, pile group, and footing. Heliyon, 9(8), e105203.
Cao Van, T. (2024). Development of a MATLAB program to determine the bearing capacity and settlement of pile foundations with application in a Vietnam project. GEOMATE Journal, 26(107), 210–218.
Youwai, S., & Thongnoo, W. (2023). Predicting load-deformation behavior of bored piles using Transformer-based AI in Bangkok subsoil. arXiv preprint.
Li, Z., Gao, L., & Fu, Y. (2025). Interpretable machine learning for predicting p–y curves of monopile foundations in sand. arXiv preprint.
Vahab, M., Han, R., & Elbanna, A. (2022). Physics-Informed Neural Networks for forward and inverse pile–soil interaction modeling. arXiv preprint.
Masud, M. A., Khalil, M. A., & Abu-Farsakh, M. (2024). Reliability-based design of driven piles in intermediate geomaterials. Acta Geotechnica, 19(2), 119–134.
Kumar, M., Choudhury, D., & Gandhi, S. R. (2021). Reliability analysis of pile foundations using soft computing methods. Processes, 9(3), 486.
Youwai, S., & Pamungmoon, K. (2024). Explainable AI for predicting pile driving vibrations in Bangkok clay using SHAP analysis. arXiv preprint.
Srujana, S., & Biswas, B. (2024). Dynamic response of geogrid-reinforced pile foundations subjected to machine vibrations: A numerical study. In Advances in Soil Dynamics (pp. 177–188). Springer.
Kumar, R., & Anbazhagan, P. (2023). Design and reliability analysis of energy piles using hybrid soft computing techniques. In SEG 2023 Conference Proceedings.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
