Using artificial neural networks to estimate the unconfined compressive strength of gypseous soil

Author:

Al-Zubaidi Dunya S.,Aljanabi Khalid R.,Khaled Zeyad S. M.

Publisher

AIP Publishing

Reference30 articles.

1. M.B. Jaksa The influence of spatial variability on the geotechnical design properties of a stiff overconsolidated Clay. PhD Thesis. University of Adelaide. Australia. 1995.

2. M.A.M. Al-Neami Prediction of unconfined compressive strength of soil using artificial neural network. The 2nd International Conference of Buildings, Construction and Environmental Engineering (BCEE2). The American University of Beirut. Lebanon. 2015.

3. Karkush M.O., Al-Murshedi A.D., Karim H.H. Investigation of the Impacts of Nano-clay on the Collapse Potential and Geotechnical Properties of Gypseous Soils. Jordan Journal of Civil Engineering. 2020 Oct 1;14(4).

4. Collapsibility and Shear Strength of Gypseous Soil Improved by Nano Silica Fume (NSF)

5. Karkush M.O., Al-Shakarchi Y.J., Al-Jorany A.N. Leaching behavior of gypseous soils. Journal of Engineering. 2008 Dec;14(4):3077–89.

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