Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses

DR Kumar, P Samui, W Wipulanusat… - Earth Science …, 2023 - Springer
Determining the bearing capacity of ring foundations on rock masses holds utmost
importance within the framework of foundation design methodology. To examine the failure …

[HTML][HTML] New design equations for estimation of ultimate bearing capacity of shallow foundations resting on rock masses

AH Alavi, E Sadrossadat - Geoscience Frontiers, 2016 - Elsevier
Rock masses are commonly used as the underlying layer of important structures such as
bridges, dams and transportation constructions. The success of a foundation design for such …

[HTML][HTML] Development of mathematically motivated hybrid soft computing models for improved predictions of ultimate bearing capacity of shallow foundations

AI Lawal, S Kwon - Journal of Rock Mechanics and Geotechnical …, 2023 - Elsevier
Ultimate bearing capacity (UBC) is a key subject in geotechnical/foundation engineering as
it determines the limit of loads imposed on the foundation. The most reliable means of …

Applying an efficient AI approach for the prediction of bearing capacity of shallow foundations

F Khaleel, MM Hameed, D Khaleel… - … Conference on Emerging …, 2021 - Springer
This study focused on presenting the potential of artificial intelligence (AI) modeling
approach to predict the bearing capacity (Q u) of shallow foundation. Accurate prediction of …

[PDF][PDF] Bearing capacity of eccentrically loaded footings on rock masses using soft computing techniques

DR Kumar, P Samui, W Wipulanusat… - Eng Sci, 2023 - researchgate.net
A crucial characteristic of real-world engineering operations is a strip footing's bearing
capacity on a rock mass subjected to incline and eccentric loading conditions. Many …

[HTML][HTML] Integrated machine learning for modeling bearing capacity of shallow foundations

Y Liu, Y Liang - Scientific Reports, 2024 - nature.com
Analyzing the stability of footings is a significant step in civil/geotechnical engineering
projects. In this work, two novel predictive tools are suggested based on an artificial neural …

[HTML][HTML] Application of artificial neural networks for predicting the bearing capacity of shallow foundations on rock masses

MA Millán, R Galindo, A Alencar - Rock Mechanics and Rock Engineering, 2021 - Springer
Calculation of the bearing capacity of shallow foundations on rock masses is usually
addressed either using empirical equations, analytical solutions, or numerical models. While …

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

VQ Lai, K Sangjinda, S Keawsawasvong… - Frontiers in Built …, 2022 - frontiersin.org
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 …

Bearing capacity of shallow foundation's prediction through hybrid artificial neural networks

A Marto, M Hajihassani, E Momeni - Applied mechanics and …, 2014 - Trans Tech Publ
The utilization of Artificial Neural Network (ANN) for bearing capacity estimation has some
disadvantages such as getting trapped in local minima and slow rate of learning. Recent …

Soft Computing-Based Models for Estimating the Ultimate Bearing Capacity of an Annular Footing on Hoek–Brown Material

S Keawsawasvong, K Sangjinda… - Arabian Journal for …, 2024 - Springer
The finite element limit analysis solution presented in this paper offers novel approaches for
estimating the ultimate bearing capacity of annular foundations on Hoek–Brown criterion …