Zeini, H.A.; Lwti, N.K.; Imran, H.; Henedy, S.N.; Bernardo, L.F.A.; Al-Khafaji, Z.
Prediction of the Bearing Capacity of Composite Grounds Made of Geogrid-Reinforced Sand over Encased Stone Columns Floating in Soft Soil Using a White-Box Machine Learning Model. Appl. Sci. 2023, 13, 5131.
https://doi.org/10.3390/app13085131
AMA Style
Zeini HA, Lwti NK, Imran H, Henedy SN, Bernardo LFA, Al-Khafaji Z.
Prediction of the Bearing Capacity of Composite Grounds Made of Geogrid-Reinforced Sand over Encased Stone Columns Floating in Soft Soil Using a White-Box Machine Learning Model. Applied Sciences. 2023; 13(8):5131.
https://doi.org/10.3390/app13085131
Chicago/Turabian Style
Zeini, Husein Ali, Nabeel Katfan Lwti, Hamza Imran, Sadiq N. Henedy, LuÃs Filipe Almeida Bernardo, and Zainab Al-Khafaji.
2023. "Prediction of the Bearing Capacity of Composite Grounds Made of Geogrid-Reinforced Sand over Encased Stone Columns Floating in Soft Soil Using a White-Box Machine Learning Model" Applied Sciences 13, no. 8: 5131.
https://doi.org/10.3390/app13085131
APA Style
Zeini, H. A., Lwti, N. K., Imran, H., Henedy, S. N., Bernardo, L. F. A., & Al-Khafaji, Z.
(2023). Prediction of the Bearing Capacity of Composite Grounds Made of Geogrid-Reinforced Sand over Encased Stone Columns Floating in Soft Soil Using a White-Box Machine Learning Model. Applied Sciences, 13(8), 5131.
https://doi.org/10.3390/app13085131
