A machine learning regression approach for predicting the bearing capacity of a strip footing on rock mass under inclined and eccentric load

A machine learning regression approach for predicting the bearing capacity of a strip footing on rock mass under inclined and eccentric load

In this study, the Multivariate Adaptive Regression Splines (MARS) model is employed to create a data-driven prediction for the bearing capacity of a strip footing on rock mass subjected to an inclined and eccentric load. The strengths of rock masses are based on the Hoek-Brown failure criterion. To...

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Bibliographic Details
Main Authors: Van Qui Lai, Kongtawan Sangjinda, Suraparb Keawsawasvong, Alireza Eskandarinejad, Vinay Bhushan Chauhan, Worathep Sae-Long, Suchart Limkatanyu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Built Environment
Subjects:
bearing capacity
Hoek-Brown
mars
rock mass
strip footing
Online Access:https://www.frontiersin.org/articles/10.3389/fbuil.2022.962331/full

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