Machine learning techniques for soil characterization using cone penetration test data

AT Chala, RP Ray - Applied Sciences, 2023 - mdpi.com
Seismic response assessment requires reliable information about subsurface conditions,
including soil shear wave velocity (V s). To properly assess seismic response, engineers …

Ann-based prediction of cone tip resistance with tabu-search optimization for geotechnical engineering applications

M Al Khazaleh, M Bisharah - Asian Journal of Civil Engineering, 2023 - Springer
The present research employed an authentic multivariate dataset of J-CLAY/5/124 Jiangsu
clays from China to construct an artificial neural network (ANN) model for the purpose of …

Learning decision boundaries for cone penetration test classification

GH Erharter, S Oberhollenzer… - … ‐Aided Civil and …, 2021 - Wiley Online Library
In geotechnical field investigations, cone penetration tests (CPT) are increasingly used for
ground characterization of fine‐grained soils. Test results are different parameters that are …

Prediction of soil water retention curve based on physical characterization parameters using machine learning

EAC Albuquerque, LPF Borges, ALB Cavalcante… - Soils and …, 2022 - SciELO Brasil
This paper explores the potential of machine learning techniques to predict the soil water
retention curve based on physical characterization parameters. Results from 794 water …

Cone penetration index for soil behaviour type prediction

DJR Sodré - Scientific Reports, 2022 - nature.com
Several approaches have been proposed to classify soil types using both cone and
piezocone penetration tests. The chart relating the normalized cone resistance (Q tn) and …

Use of machine learning techniques for predicting the bearing capacity of piles

YF Gomes, FAN Verri, DB Ribeiro - Soils and Rocks, 2021 - SciELO Brasil
Geotechnical engineers frequently rely on semi-empirical methods like Décourt-Quaresma
and Meyehof's to estimate the bearing capacity of piles. This paper proposes alternatives to …

Machine Learning–Based Organic Soil Classification Using Cone Penetrometer Tests

HO Ulloa, A Ramirez, NH Jafari… - … of Geotechnical and …, 2024 - ascelibrary.org
Soil classification methods currently rely on soil borings or cone/piezocone penetrometer
tests (CPT/CPTu). Literature provides several methods that classify soils based on two …

A multiple model machine learning approach for soil classification from cone penetration test data

LO Carvalho, DB Ribeiro - Soils and Rocks, 2021 - SciELO Brasil
The most popular methods for soil classification from cone penetration test (CPT) data are
based on examining two-dimensional charts. In the last years, several authors have …

Utilizing Machine Learning for Cone Penetration Test-Based Soil Classification

M Fatehnia, V Mahmoudabadi… - Transportation Research …, 2024 - journals.sagepub.com
The cone penetration test (CPT) is widely used in geotechnical engineering to assess soil
properties. Traditional methods of interpreting CPT data and classifying soils have …

Innovative Deep Learning Methods for Soil Classification and Crop Yield Prediction

SK Modi, AL Yadav, PS Rana - … International Conference on …, 2024 - ieeexplore.ieee.org
The significance of soil in sustaining life on Earth cannot be overstated, particularly its role in
crop production and environmental sustainability. This paper presents a analysis of various …