35 Years of (AI) in geotechnical engineering: state of the art
AM Ebid - Geotechnical and Geological Engineering, 2021 - Springer
It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …
geotechnical engineering, during those years many (AI) techniques were developed based …
Artificial neural networks for sustainable development of the construction industry
Artificial Neural Networks (ANNs), the most popular and widely used Artificial Intelligence
(AI) technology due to their proven accuracy and efficiency in control, estimation …
(AI) technology due to their proven accuracy and efficiency in control, estimation …
Efficient computational techniques for predicting the California bearing ratio of soil in soaked conditions
California bearing ratio (CBR) is one of the important parameters that is used to express the
strength of the pavement subgrade of railways, roadways, and airport runways. CBR is …
strength of the pavement subgrade of railways, roadways, and airport runways. CBR is …
ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions
This study proposes novel integration of extreme learning machine (ELM) and adaptive
neuro swarm intelligence (ANSI) techniques for the determination of California bearing ratio …
neuro swarm intelligence (ANSI) techniques for the determination of California bearing ratio …
A scientometrics review of soil properties prediction using soft computing approaches
In this world, several types of soils are available with their different engineering properties.
Determining each soil's engineering properties is difficult because the laboratory procedures …
Determining each soil's engineering properties is difficult because the laboratory procedures …
On random subspace optimization-based hybrid computing models predicting the california bearing ratio of soils
The California Bearing Ratio (CBR) is an important index for evaluating the bearing capacity
of pavement subgrade materials. In this research, random subspace optimization-based …
of pavement subgrade materials. In this research, random subspace optimization-based …
Prediction of the California bearing ratio (CBR) of compacted soils by using GMDH-type neural network
The California bearing ratio (CBR) is an important parameter in defining the bearing
capacity of various soil structures, such as earth dams, road fillings and airport pavements …
capacity of various soil structures, such as earth dams, road fillings and airport pavements …
A hybrid approach of ANN and improved PSO for estimating soaked CBR of subgrade soils of heavy-haul railway corridor
A Bardhan, AK Alzo'ubi, S Palanivelu… - … Journal of Pavement …, 2023 - Taylor & Francis
The determination of subgrade/subsoil strength is one of the most important pavement
design factors in transportation engineering, particularly for railways, roadways, and airport …
design factors in transportation engineering, particularly for railways, roadways, and airport …
Regression and neural network models for California bearing ratio prediction of typical granular materials in Egypt
S Taha, A Gabr, S El-Badawy - Arabian Journal for Science and …, 2019 - Springer
California bearing ratio (CBR) is an important property used to express the quality and
strength of the unbound granular materials and subgrade soils. It is one of the material …
strength of the unbound granular materials and subgrade soils. It is one of the material …
Assessment of the determination of Californian Bearing Ratio of laterites with contrasted geotechnical properties from simple physical parameters
JFN Bayamack, VL Onana, ATN Mvindi, AN Ze… - Transportation …, 2019 - Elsevier
Abstract The Californian Bearing Ratio (CBR) is one of the most important geotechnical
parameter used for designing pavement layers in road construction. However, the test for …
parameter used for designing pavement layers in road construction. However, the test for …