[HTML][HTML] State-of-the-art review of soft computing applications in underground excavations
Soft computing techniques are becoming even more popular and particularly amenable to
model the complex behaviors of most geotechnical engineering systems since they have …
model the complex behaviors of most geotechnical engineering systems since they have …
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 …
Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm
The squeezing behavior of surrounding rock can be described as the time-dependent large
deformation during tunnel excavation, which appears in special geological conditions, such …
deformation during tunnel excavation, which appears in special geological conditions, such …
[HTML][HTML] Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling
Estimating surface settlement induced by excavation construction is an indispensable task in
tunneling, particularly for earth pressure balance (EPB) shield machines. In this study …
tunneling, particularly for earth pressure balance (EPB) shield machines. In this study …
Real-time hard-rock tunnel prediction model for rock mass classification using CatBoost integrated with Sequential Model-Based Optimization
Y Bo, Q Liu, X Huang, Y Pan - Tunnelling and underground space …, 2022 - Elsevier
In-time perception of changing geological conditions is crucial for safe and efficient TBM
tunneling. Precisely detecting or predicting the rock mass qualities ahead of the tunnel face …
tunneling. Precisely detecting or predicting the rock mass qualities ahead of the tunnel face …
Analytical solutions for deep tunnels in strain-softening rocks modeled by different elastic strain definitions with the unified strength theory
This paper presents the analytical solutions for the responses of tunnels excavated in rock
masses exhibiting strain-softening behavior. Since previous analyses give little …
masses exhibiting strain-softening behavior. Since previous analyses give little …
Surface settlement prediction for urban tunneling using machine learning algorithms with Bayesian optimization
This paper describes the prediction of settlements induced by urban area tunneling using
five machine learning (ML) algorithms. The settlement database, which was collected from a …
five machine learning (ML) algorithms. The settlement database, which was collected from a …
Application of SVR models built with AOA and Chaos mapping for predicting tunnel crown displacement induced by blasting excavation
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 …
displacement (TCD) induced by the blasting excavation. 95 blasting operations considering …
Prediction of maximum ceiling temperature of rectangular fire against wall in longitudinally ventilation tunnels: Experimental analysis and machine learning modeling
P Hu, X Peng, F Tang - Tunnelling and Underground Space Technology, 2023 - Elsevier
In this work, experimental analysis and machine learning modeling of maximum ceiling
temperature for wall fire in longitudinally ventilation tunnels were conducted. The results …
temperature for wall fire in longitudinally ventilation tunnels were conducted. The results …
Prediction model of shield performance during tunneling via incorporating improved particle swarm optimization into ANFIS
This paper proposes a new computational model to predict the earth pressure balance
(EPB) shield performance during tunnelling. The proposed model integrates an improved …
(EPB) shield performance during tunnelling. The proposed model integrates an improved …