A comprehensive review of intelligent machine learning based predicting methods in long-term and short-term rock burst prediction
PMS Basnet, S Mahtab, A Jin - Tunnelling and Underground Space …, 2023 - Elsevier
Rockburst is a geological hazard frequently encountered in deep underground engineering
projects that threaten workers' safety and causes damage to an excavation. The occurrence …
projects that threaten workers' safety and causes damage to an excavation. The occurrence …
Evaluation of mining-induced energy and rockburst prediction at a diamond mine in Canada using a full 3D elastoplastic finite element model
Rockburst occurs when a volume of rock is strained beyond its elastic limit. This type of
failure is violent and instantaneous. Its occurrence is a major concern for the safety of …
failure is violent and instantaneous. Its occurrence is a major concern for the safety of …
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 …
excavation. Qualitative and quantitative statistical analysis of rockburst cases is the primary …
Quantitative evaluation of rockburst proneness for surrounding rocks considering combined effects of the structural plane and excavation disturbance
J Dai, F Gong, S Qi, L Xu - Tunnelling and Underground Space Technology, 2023 - Elsevier
Rockburst proneness evaluation is crucial for predicting and preventing rockburst disasters.
This study proposes a quantitative evaluation model of rockburst proneness for surrounding …
This study proposes a quantitative evaluation model of rockburst proneness for surrounding …
Prediction of pipe failures in water supply networks using logistic regression and support vector classification
Companies in charge of water supply networks are making a huge effort to optimally plan
the annual replacements of pipes. This would save costs, enable a higher quality of service …
the annual replacements of pipes. This would save costs, enable a higher quality of service …
Strength of stacking technique of ensemble learning in rockburst prediction with imbalanced data: Comparison of eight single and ensemble models
Rockburst is a common dynamic geological hazard, severely restricting the development
and utilization of underground space and resources. As the depth of excavation and mining …
and utilization of underground space and resources. As the depth of excavation and mining …
A critical evaluation of machine learning and deep learning in shield-ground interaction prediction
The interaction between a shield machine and the ground is a complicated problem
involving numerous extrinsic and intrinsic factors. Machine learning (ML) algorithms have …
involving numerous extrinsic and intrinsic factors. Machine learning (ML) algorithms have …
Predicting rockburst with database using particle swarm optimization and extreme learning machine
Rockburst is a major type of geological hazard that has a very adverse impact on
underground engineering in deeply buried areas under high geo-stress. In this study …
underground engineering in deeply buried areas under high geo-stress. In this study …
Real-time prediction of rockburst intensity using an integrated CNN-Adam-BO algorithm based on microseismic data and its engineering application
X Yin, Q Liu, X Huang, Y Pan - Tunnelling and Underground Space …, 2021 - Elsevier
Rockburst is a dynamic geological disaster common during underground excavation, which
significantly threatens the safety of personnel, equipment, and property. This paper …
significantly threatens the safety of personnel, equipment, and property. This paper …
[HTML][HTML] Intelligent rockburst prediction model with sample category balance using feedforward neural network and Bayesian optimization
The rockburst prediction becomes more and more challenging due to the development of
deep underground projects and constructions. Increasing numbers of intelligent algorithms …
deep underground projects and constructions. Increasing numbers of intelligent algorithms …