Temple C. Nwofor,
Chiedozie Ikebude,
Olawuyi Idowu Benjamin,
Joshua Aliu,
Abstract
This paper investigates the geotechnical properties and reliability-based bearing capacity predictions for shallow foundations along the proposed Ajaokuta-Kaduna-Kano (A-K-K) pipeline track in Nigeria. The variability of subsoil properties along this route poses significant challenges to ensuring foundation stability and safety, necessitating an in-depth study. A total of twenty boreholes were strategically drilled at key locations to a maximum depth of 30 meters, providing comprehensive subsurface profiles. Soil samples collected from these boreholes were tested for critical geotechnical parameters, including cohesion, angle of internal friction, bulk density, and modulus of elasticity. These properties are essential for characterizing the bearing capacity and settlement behavior of shallow foundations under various load conditions. Descriptive statistical analyses were conducted to evaluate the variability and distribution of soil properties across the route. Reliability indices were calculated using the First Order Reliability Method (FORM), a probabilistic approach implemented in MATLAB, to assess the stability and safety of foundation designs under uncertain soil conditions. The analysis incorporated variability in soil parameters to estimate allowable bearing pressures and settlements for different target reliability indices. The findings revealed significant spatial variability in geotechnical properties along the A-K-K pipeline track. This variability influenced the predicted allowable bearing capacities and settlements, highlighting the necessity of incorporating probabilistic methods in geotechnical design. By addressing uncertainties, the study underscores the importance of reliability-based approaches in reducing foundation risks and ensuring the stability of critical infrastructure in geotechnically complex regions. These insights are pivotal for guiding the safe and cost-effective design of foundations in similar contexts.
Keywords: Geotechnical properties, shallow foundations, bearing capacity, ajaokuta-Kaduna-Kano (A-K-K) pipeline, subsoil variability, First Order Reliability Method (FORM), MATLAB
[This article belongs to Journal of Geotechnical Engineering ]
Temple C. Nwofor, Chiedozie Ikebude, Olawuyi Idowu Benjamin, Joshua Aliu. Reliability-Based Prediction of Bearing Capacity of Shallow Foundation Along Ajaokuta-Kaduna-Kano Pipeline Track. Journal of Geotechnical Engineering. 2025; 12(01):9-17.
Temple C. Nwofor, Chiedozie Ikebude, Olawuyi Idowu Benjamin, Joshua Aliu. Reliability-Based Prediction of Bearing Capacity of Shallow Foundation Along Ajaokuta-Kaduna-Kano Pipeline Track. Journal of Geotechnical Engineering. 2025; 12(01):9-17. Available from: https://journals.stmjournals.com/joge/article=2025/view=227363
References
1. Duncan JM. Factors of safety and reliability in geotechnical engineering. J Geotech Geoenviron Eng. 2000;126(4):307-316.
2. Olawuyi IB. Reliability-based prediction of bearing capacity of shallow foundation along Ajaokuta-Kaduna-Kano pipeline track [dissertation]. Port Harcourt: University of Port Harcourt; 2024.
3. Terzaghi K, Peck RB. Soil mechanics in engineering practice. 2nd ed. New York: John Wiley & Sons; 1967.
4. Phoon KK, Ching J. Risk and reliability in geotechnical engineering. 1st ed. London: CRC Press; 2013.
5. Christian JT, Baecher GB. Reliability and statistics in geotechnical engineering. Chichester: Wiley; 2003.
6. Harr ME. Reliability-based design in civil engineering. New York: Dover Publications; 1987.
7. Whitman RV. Organizing and using data for risk analysis. J Geotech Geoenviron Eng. 2000;126(7):583-592.
8. Bathurst RJ, Allen TM. Reliability-based design of geotechnical structures. Georisk. 2002;3(2):43-49.
9. Vanmarcke E. Random fields: analysis and synthesis. 2nd ed. Mineola: Dover Publications; 2010.
10. Duncan JM, Wright SG, Brandon TL. Soil strength and slope stability. 2nd ed. Hoboken: Wiley; 2014.
Journal of Geotechnical Engineering
| Volume | 12 |
| Issue | 01 |
| Received | 18/09/2024 |
| Accepted | 26/11/2024 |
| Published | 02/01/2025 |
| Publication Time | 106 Days |
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