This research investigates the bearing capacity of a ring-shaped foundation on layered sand
reinforced with a geogrid at the interface. The study employed lower and upper-bound limit …

The paper presents the prediction of the ultimate bearing capacity of the strip footing resting
on layered soil (dense sand overlying loose sand) using random forest regression (RFR). In …

This study aimed to develop a predictive model for estimating the compressive load-carrying
capacity of single and double under-reamed piles in clay and sand based on numerical data …

The present study attempts to predict the ultimate bearing capacity (UBC) of the strip footing
resting on sand and subjected to inclined load having eccentricity with respect to the vertical …

A prediction model for the bearing capacity estimation of strip and ring footing embedded in
layered sand is proposed using soft computing approaches, namely, artificial neural network …

The present study attempts to predict the ultimate bearing capacity of shallow foundations on
rock masses using five different soft computing techniques namely i) random forest …

The assessment of soil properties for the design of structure requires a wide range of tests.
Sampling difficulty, time and cost constraints forces the practitioners to adopt correlations …

The paper presents a study on the prediction of the shear wave velocity (Vs) for all soils
using ANN model from cone penetration test data. The input parameters in the obtained …

Soil investigation is the main key in starting construction. Standard Penetration Test (SPT)
and Cone Penetration Test (CPT) are field tests often used to estimate soil parameters for …

In this study, two classification methods such as the artificial neural network with feed-
forward backpropagation (ANN) and random forest regression (RFR) were used to identify …