Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
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 …
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives
The architecture, engineering and construction (AEC) industry is experiencing a
technological revolution driven by booming digitisation and automation. Advances in …
technological revolution driven by booming digitisation and automation. Advances in …
Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration
Accurate prediction of ground vibration caused by blasting has always been a significant
issue in the mining industry. Ground vibration caused by blasting is a harmful phenomenon …
issue in the mining industry. Ground vibration caused by blasting is a harmful phenomenon …
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
The advance rate (AR) of a tunnel boring machine (TBM) in hard rock condition is a key
parameter for the successful accomplishment of a tunneling project, and the proper and …
parameter for the successful accomplishment of a tunneling project, and the proper and …
[HTML][HTML] Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques
A reliable and accurate prediction of the tunnel boring machine (TBM) performance can
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
[HTML][HTML] Real-time prediction of rock mass classification based on TBM operation big data and stacking technique of ensemble learning
S Hou, Y Liu, Q Yang - Journal of Rock Mechanics and Geotechnical …, 2022 - Elsevier
Real-time prediction of the rock mass class in front of the tunnel face is essential for the
adaptive adjustment of tunnel boring machines (TBMs). During the TBM tunnelling process …
adaptive adjustment of tunnel boring machines (TBMs). During the TBM tunnelling process …
Prediction model of rock mass class using classification and regression tree integrated AdaBoost algorithm based on TBM driving data
Q Liu, X Wang, X Huang, X Yin - Tunnelling and Underground Space …, 2020 - Elsevier
The real-time acquisition of surrounding rock information is important for the efficient
tunneling and hazard prevention in tunnel boring machines (TBMs). This study presents an …
tunneling and hazard prevention in tunnel boring machines (TBMs). This study presents an …
Hard-rock tunnel lithology prediction with TBM construction big data using a global-attention-mechanism-based LSTM network
The TBM-constructed rock tunnel often suffers from low comparability of efficiency between
geological condition detection and the TBM real-time operation requirements. This article …
geological condition detection and the TBM real-time operation requirements. This article …
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 …
[HTML][HTML] Real-time rock mass condition prediction with TBM tunneling big data using a novel rock–machine mutual feedback perception method
Z Wu, R Wei, Z Chu, Q Liu - Journal of Rock Mechanics and Geotechnical …, 2021 - Elsevier
Real-time perception of rock mass information is of great importance to efficient tunneling
and hazard prevention in tunnel boring machines (TBMs). In this study, a TBM–rock mutual …
and hazard prevention in tunnel boring machines (TBMs). In this study, a TBM–rock mutual …