Prediction of ultimate bearing capacity of shallow foundations on cohesionless soils: a gaussian process regression approach

This study examines the potential of the soft computing technique—namely, Gaussian process regression (GPR), to predict the ultimate bearing capacity (UBC) of cohesionless soils be‐ neath shallow foundations. The inputs of the model are width of footing (B), depth of footing (D), footing geometry (L...

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Bibliographic Details

Main Authors:	Ahmad, Mahmood, Ahmad, Feezan, Wróblewski, Piotr, Al-Mansob, Ramez A., Olczak, Piotr, Paweł, Kamiński, Safdar, Muhammad, Rai, Partab
Format:	Article
Language:	en en
Published:	Multidisciplinary Digital Publishing Institute (MDPI) 2021
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://irep.iium.edu.my/93594/7/93594_Prediction%20of%20ultimate%20bearing%20capacity%20of%20shallow%20foundations.pdf http://irep.iium.edu.my/93594/13/93594_Prediction%20of%20ultimate%20bearing%20capacity_Scopus.pdf http://irep.iium.edu.my/93594/ https://www.mdpi.com/2076-3417/11/21/10317/pdf
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