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Redefining Soil Stabilization Strategies: A Stochastic Exploration of Nano-Modified Clays in Foundation Engineering |
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PP: 1319-1333 |
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doi:10.18576/amis/190607
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Author(s) |
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Fawzi Kh. Khalaf,
Nur Irfah Mohd Pauzi,
Mohammed Y. Fattah,
Karim Sherif Mostafa,
Norbaya Sidek,
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Abstract |
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| This study investigates the probabilistic bearing capacity of soft clay stabilized with nanoclay, nano MgO, and nano SiO2 using Monte Carlo Simulation (MCS). A combination of triaxial and model footing tests provided the input parameters for the stochastic analysis. MCS was applied to quantify failure probability (Pf ) and reliability index (β ), integrating corrected Terzaghi bearing capacity predictions through regression with experimental data. The results revealed that Nano MgO achieved the lowest Pf (4.5%) and highest β values, indicating superior strength and consistency. In contrast, Nano SiO2, despite its high deterministic performance, showed increased uncertainty with depth, while Nano Clay exhibited poor reliability (Pf > 59%). This study demonstrates that MCS provides critical insights into the variability and reliability of nano-treated soils, supporting performance-based geotechnical design under uncertainty. |
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