Application of artificial intelligence in geotechnical engineering: A state-of-the-art review

A Baghbani, T Choudhury, S Costa, J Reiner - Earth-Science Reviews, 2022 - Elsevier
Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …

[HTML][HTML] Application of artificial intelligence to rock mechanics: An overview

AI Lawal, S Kwon - Journal of Rock Mechanics and Geotechnical …, 2021 - Elsevier
Different artificial intelligence (AI) methods have been applied to various aspects of rock
mechanics, but the fact that none of these methods have been used as a standard implies …

[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 …

A comparative study of different machine learning algorithms in predicting EPB shield behaviour: a case study at the Xi'an metro, China

XD Bai, WC Cheng, G Li - Acta geotechnica, 2021 - Springer
Complex geological conditions and/or inappropriate shield tunnel boring machine (TBM)
operation can significantly degrade both the excavation and safety of tunnel construction. In …

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 …

[HTML][HTML] Prediction of maximum surface settlement caused by earth pressure balance (EPB) shield tunneling with ANN methods

RP Chen, P Zhang, X Kang, ZQ Zhong, Y Liu… - Soils and …, 2019 - Elsevier
In order to determine the appropriate model for predicting the maximum surface settlement
caused by EPB shield tunneling, three artificial neural network (ANN) methods, back …

Application of SVR models built with AOA and Chaos mapping for predicting tunnel crown displacement induced by blasting excavation

C Li, X Mei - Applied Soft Computing, 2023 - Elsevier
This study utilizes the support vector regression (SVR) model to predict the tunnel crown
displacement (TCD) induced by the blasting excavation. 95 blasting operations considering …

Tunnel deformation prediction during construction: An explainable hybrid model considering temporal and static factors

Z Li, E Ma, J Lai, X Su - Computers & Structures, 2024 - Elsevier
This paper presents a novel hybrid model designed for predicting mountain tunnel
deformation during construction, incorporating both temporal and static factors. Utilizing a …

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 …

Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data

W Sun, M Shi, C Zhang, J Zhao, X Song - Automation in Construction, 2018 - Elsevier
Load prediction of tunnel boring machines (TBMs) is crucial for the design and safe
operation of these complex engineering systems. However, to date, studies have mostly …