[HTML][HTML] Experimental study on the mechanical and failure behaviors of deep rock subjected to true triaxial stress: A review

H Xie, J Lu, C Li, M Li, M Gao - International Journal of Mining Science and …, 2022 - Elsevier
It has become an inevitable trend of human development to seek resources from the deep
underground. However, rock encountered in deep underground engineering is usually in an …

[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 …

Fusion of finite element and machine learning methods to predict rock shear strength parameters

D Zhu, B Yu, D Wang, Y Zhang - Journal of Geophysics and …, 2024 - academic.oup.com
The trial-and-error method for calibrating rock mechanics parameters has the disadvantages
of complexity, being time-consuming, and difficulty in ensuring accuracy. Harnessing the …

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 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] 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 …

[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] Stability prediction of hard rock pillar using support vector machine optimized by three metaheuristic algorithms

C Li, J Zhou, K Du, D Dias - International Journal of Mining Science and …, 2023 - Elsevier
Hard rock pillar is one of the important structures in engineering design and excavation in
underground mines. Accurate and convenient prediction of pillar stability is of great …

[HTML][HTML] Prediction of rockhead using a hybrid N-XGBoost machine learning framework

X Zhu, J Chu, K Wang, S Wu, W Yan… - Journal of Rock Mechanics …, 2021 - Elsevier
The spatial information of rockhead is crucial for the design and construction of tunneling or
underground excavation. Although the conventional site investigation methods (ie borehole …