[HTML][HTML] A review of rockburst: Experiments, theories, and simulations

M He, T Cheng, Y Qiao, H Li - Journal of Rock Mechanics and …, 2023 - Elsevier
Rockburst is becoming a huge challenge for the utilization of deep underground space.
Extensive efforts have been devoted to investigating the rockburst behavior and mechanism …

[HTML][HTML] State-of-the-art review of soft computing applications in underground excavations

W Zhang, R Zhang, C Wu, ATC Goh, S Lacasse… - Geoscience …, 2020 - Elsevier
Soft computing techniques are becoming even more popular and particularly amenable to
model the complex behaviors of most geotechnical engineering systems since they have …

Short-term rockburst damage assessment in burst-prone mines: an explainable XGBOOST hybrid model with SCSO algorithm

Y Qiu, J Zhou - Rock Mechanics and Rock Engineering, 2023 - Springer
Rockburst can cause significant damage to infrastructure and equipment, and pose a
substantial risk to the safety of mine workers. Effective prediction of short-term rockburst …

Short-term rockburst prediction in underground project: Insights from an explainable and interpretable ensemble learning model

Y Qiu, J Zhou - Acta Geotechnica, 2023 - Springer
Rockburst is a frequent challenge during tunnel and other underground construction and is
an extreme rock damage phenomenon. Therefore, it is very crucial to accurately estimate the …

A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model

J Duan, PG Asteris, H Nguyen, XN Bui… - Engineering with …, 2021 - Springer
Recycled aggregate concrete is used as an alternative material in construction engineering,
aiming to environmental protection and sustainable development. However, the …

A strength-stress coupling criterion for rockburst: Inspirations from 1114 rockburst cases in 197 underground rock projects

F Gong, J Dai, L Xu - Tunnelling and Underground Space Technology, 2023 - Elsevier
Rockburst is a kind of engineering geological disaster induced by artificial engineering
excavation. Qualitative and quantitative statistical analysis of rockburst cases is the primary …

[HTML][HTML] Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization

J Zhou, Y Qiu, S Zhu, DJ Armaghani, M Khandelwal… - Underground …, 2021 - Elsevier
The advance rate (AR) of a tunnel boring machine (TBM) under hard rock conditions is a key
parameter in the successful implementation of tunneling engineering. In this study, we …

Fracturing and energy evolution of rock around prefabricated rectangular and circular tunnels under shearing load: A comparative analysis

J **n, Q Jiang, S Li, P Chen, H Zhao - Rock Mechanics and Rock …, 2023 - Springer
Mechanical behavior and energy evolution of rock around the tunnel are critical for
evaluating the instability of geotechnical engineering. To reveal the influence of tunnel …

[HTML][HTML] Rockburst in underground excavations: A review of mechanism, classification, and prediction methods

M Askaripour, A Saeidi, A Rouleau… - Underground …, 2022 - Elsevier
Technical challenges have always been part of underground mining activities, however,
some of these challenges grow in complexity as mining occurs in deeper and deeper …

[HTML][HTML] Rockburst prediction and prevention in underground space excavation

J Zhou, Y Zhang, C Li, H He, X Li - Underground Space, 2024 - Elsevier
The technical challenges associated with deep underground space activities have become
increasingly significant. Among these challenges, one major concern is the assessment of …