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 …

Selected AI optimization techniques and applications in geotechnical engineering

KC Onyelowe, FF Mojtahedi, AM Ebid… - Cogent …, 2023 - Taylor & Francis
In an age of depleting earth due to global warming impacting badly on the ozone layer of the
earth system, the need to employ technologies to substitute those engineering practices …

[HTML][HTML] Artificial neural networks for sustainable development of the construction industry

M Ahmed, S AlQadhi, J Mallick, NB Kahla, HA Le… - Sustainability, 2022 - mdpi.com
Artificial Neural Networks (ANNs), the most popular and widely used Artificial Intelligence
(AI) technology due to their proven accuracy and efficiency in control, estimation …

A scientometrics review of soil properties prediction using soft computing approaches

J Khatti, KS Grover - Archives of Computational Methods in Engineering, 2024 - Springer
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 …

[HTML][HTML] Modelling of the mechanical properties of concrete with cement ratio partially replaced by aluminium waste and sawdust ash using artificial neural network

U Alaneme George, M Mbadike Elvis - SN Applied Sciences, 2019 - Springer
The use of aluminium waste (AW) and sawdust ash (SDA) in concrete was evaluated in this
study where the cement ratio was partially replaced by fractions of AW and SDA introduced …

Mechanical properties optimization of soil—cement kiln dust mixture using extreme vertex design

GU Alaneme, IC Attah, RK Etim… - International Journal of …, 2022 - Springer
As a result of environmental issues, the use waste residue has gained much attention in the
field of soil re-engineering, this is because of the feasibility of using waste derivatives in soil …

[HTML][HTML] Constrained vertex optimization and simulation of the unconfined compressive strength of geotextile reinforced soil for flexible pavement foundation …

DE Aju, KC Onyelowe, GU Alaneme - Cleaner Engineering and Technology, 2021 - Elsevier
Extreme vertex design (EVD) provides an efficient approach to mixture experiment design
whereby the factor level possesses multiple dependencies expressed through component …

[HTML][HTML] Results of application of artificial neural networks in predicting geo-mechanical properties of stabilised clays—a review

JJ Jeremiah, SJ Abbey, CA Booth, A Kashyap - Geotechnics, 2021 - mdpi.com
This study presents a literature review on the use of artificial neural networks in the
prediction of geo-mechanical properties of stabilised clays. In this paper, the application of …

A novel formulation for the compressive strength of IBP-based geopolymer stabilized clayey soils using ANN and GMDH-NN approaches

D Rezazadeh Eidgahee, AH Rafiean… - Iranian Journal of Science …, 2020 - Springer
Applicability of geopolymer binder, as one of the environmentally friendly materials in
geotechnical constructions, can be evaluated by the compressive strength. Due to the …

[HTML][HTML] Determining the contribution of environmental factors in controlling dust pollution during cold and warm months of western Iran using different data mining …

Z Ebrahimi-Khusfi, R Taghizadeh-Mehrjardi… - Ecological …, 2021 - Elsevier
Dust pollution is one of the major environmental crises in the arid regions of Iran and there is
a need to predict dust pollution and identify its controlling factors to help reduce its adverse …