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] Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling

WG Zhang, HR Li, CZ Wu, YQ Li, ZQ Liu, HL Liu - Underground Space, 2021 - Elsevier
Estimating surface settlement induced by excavation construction is an indispensable task in
tunneling, particularly for earth pressure balance (EPB) shield machines. In this study …

Application of multiple criteria decision making methods in construction: A systematic literature review

X Zhu, X Meng, M Zhang - Journal of Civil Engineering and …, 2021 - pure.qub.ac.uk
Decision making is a key to business or project success in any sectors, especially in
construction that requires handling numerous information and knowledge. Multiple criteria …

[HTML][HTML] Neuro-fuzzy systems in construction engineering and management research

GG Tiruneh, AR Fayek, V Sumati - Automation in construction, 2020 - Elsevier
Neuro-fuzzy systems (NFS) can explicitly represent and model the input–output
relationships of complex problems and non-linear systems, like those inherent in real-world …

Conceptual cost estimates using evolutionary fuzzy hybrid neural network for projects in construction industry

MY Cheng, HC Tsai, E Sudjono - Expert Systems with Applications, 2010 - Elsevier
Conceptual cost estimates are important to project feasibility studies and impact upon final
project success. Such estimates provide significant information that can be used in project …

Calculation of surface settlements caused by EPBM tunneling using artificial neural network, SVM, and Gaussian processes

I Ocak, SE Seker - Environmental earth sciences, 2013 - Springer
Increasing demand on infrastructures increases attention to shallow soft ground tunneling
methods in urbanized areas. Especially in metro tunnel excavations, due to their large …

Critical review on the application of artificial intelligence techniques in the production of geopolymer-concrete

GU Alaneme, KA Olonade, E Esenogho - SN Applied Sciences, 2023 - Springer
The need to employ technology that replaces traditional engineering methods which
generate gases that worsen our environment has emerged in an era of dwindling ecosystem …

Fuzzy adaptive jellyfish search-optimized stacking machine learning for engineering planning and design

DN Truong, JS Chou - Automation in Construction, 2022 - Elsevier
This paper presents a novel fuzzy adaptive jellyfish search-optimized stacking system (FAJS-
SS) that integrates the jellyfish search (JS) optimizer, the fuzzy adaptive (FA) logic controller …

Wavenet ability assessment in comparison to ANN for predicting the maximum surface settlement caused by tunneling

A Pourtaghi, MA Lotfollahi-Yaghin - Tunnelling and Underground Space …, 2012 - Elsevier
An alternative method of maximum ground surface settlement prediction, which is based on
integration between wavelet theory and Artificial Neural Network (ANN), or wavelet network …