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Articles

Best-fit models for predicting the geotechnical properties of FA–stabilised problematic soils used as materials for earth structures

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Pages 939-953 | Received 20 Nov 2017, Accepted 25 Aug 2018, Published online: 03 Sep 2018

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Abdelmoumen Aala-Eddin Driss, Khelifa Harichane, Mohamed Ghrici & Hamid Gadouri. (2022) Assessing the effect of moulding water content on the behaviour of lime-stabilised an expansive soil. Geomechanics and Geoengineering 17:3, pages 896-908.
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Mohammad Mirzehi Kalate Kazemi, Zohre Nabavi & Danial Jahed Armaghani. (2023) A novel Hybrid XGBoost Methodology in Predicting Penetration Rate of Rotary Based on Rock-Mass and Material Properties. Arabian Journal for Science and Engineering.
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Jitendra Khatti & Kamaldeep Singh Grover. 2023. Soil Behavior and Characterization of Geomaterials. Soil Behavior and Characterization of Geomaterials 43 57 .
N. A. N. M. Nissanka, K. M. D. Nimesha & M. C. M. Nasvi. 2023. 12th International Conference on Structural Engineering and Construction Management. 12th International Conference on Structural Engineering and Construction Management 297 314 .
Salima Amri, Rabah Hamzaoui, Abdelkrim Bennabi, Mustapha Akchiche & Mahmoud Serraye. (2022) Artificial neural network methodology: application to predict plasticity of clay soil treated with sand. Earth Science Informatics 15:4, pages 2467-2479.
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Zülal Akbay Arama, Melda Yucel, Muhammed Selahaddin Akin & Ilknur Dalyan. (2021) A comparative study on the application of artificial intelligence networks versus regression analysis for the prediction of clay plasticity. Arabian Journal of Geosciences 14:7.
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Laura Moretti, Massimiliano Conficconi, Stefano Natali & Antonio D'Andrea. (2020) Statistical analyses of SEM-EDS results to predict the quantity of added quicklime in a treated clayey soil. Construction and Building Materials 253, pages 118852.
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