Forecasting bearing capacity of the mixed soil using artificial neural networking

A Namdar - Frattura ed Integrità Strutturale, 2020 - fracturae.com
The bearing capacity of soil changes owing to the mechanical properties of the soil and
influences on structural stability. In most of the geotechnical engineering projects, there are …

Harnessing nature-inspired soft computing for reinforced soil bearing capacity prediction: a neuro-nomograph approach for efficient design

M Omar, E Alotaibi, MG Arab, A Shanableh… - International Journal of …, 2023 - Springer
The bearing capacity of soil in general is considered a key parameter in the field of
geotechnical engineering, requiring field investigations and extensive testing to eliminate …

Prediction of safe bearing capacity of noncohesive soil in arid zone using artificial neural networks

R Gupta, K Goyal, N Yadav - International Journal of Geomechanics, 2016 - ascelibrary.org
Estimation of safe bearing capacity (SBC) of noncohesive soil based on Indian Standard
Code requires a lot of field work, viz, conducting direct shear tests to determine cohesion …

Prediction of California bearing ratio of subgrade soils using artificial neural network principles

TV Nagaraju, R Gobinath, P Awoyera… - … and Intelligent Systems …, 2021 - Springer
In soil mechanics, prediction of soil properties is necessary due to the large-scale
construction activities and time-consuming testing. California Bearing Ratio (CBR) is one of …

[PDF][PDF] Prediction of bearing capacity, angle of internal friction, cohesion, and plasticity index using ANN (Case Study of Baghdad, Iraq)

MM Jasim, RM Al-Khaddar… - International Journal of …, 2019 - academia.edu
In the last few years, the use of artificial neural network analysis has increased, particularly,
in geotechnical engineering problems and has demonstrated some success. In this …

Bearing capacity prediction of shallow foundation on sandy soils: a comparative study of analytical, FEM, and machine learning approaches

A Dehghanbanadaki, S Motamedi - Multiscale and Multidisciplinary …, 2024 - Springer
In this study, we compared the Ultimate Bearing Capacity (UBC) of shallow foundations on
sandy soils that were predicted using Analytical, Finite Element Modeling (FEM), and …

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 …

The optimal ANN Model for predicting bearing capacity of shallow foundations trained on scarce data

M Bagińska, PE Srokosz - KSCE Journal of Civil Engineering, 2019 - Springer
This study is focused on determining the potential of using Deep Neural Networks (DNNs) to
predict the ultimate bearing capacity of shallow foundation in situations when the …

Bagging and multilayer perceptron hybrid intelligence models predicting the swelling potential of soil

DD Nguyen, PC Roussis, BT Pham… - Transportation …, 2022 - Elsevier
Seasonal variations of the moisture content of fine-grained soils may result in the
accumulation of significant volumetric strains, which may affect the stability of geotechnical …

Performance of ANN model in predicting the bearing capacity of shallow foundations

MU Kabir, SS Sakib, I Rahman, HM Shahin - … Upcoming Technologies and …, 2019 - Springer
This study deals with the performance of the artificial neural networks (ANNs) for predicting
the ultimate bearing capacity of shallow foundations on cohesionless soil. From cone …