[HTML][HTML] Machine learning methods for rockburst prediction-state-of-the-art review
One of the most serious mining disasters in underground mines is rockburst phenomena.
They can lead to injuries and even fatalities as well as damage to underground openings …
They can lead to injuries and even fatalities as well as damage to underground openings …
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 …
Short-term rockburst prediction in underground project: Insights from an explainable and interpretable ensemble learning model
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 …
an extreme rock damage phenomenon. Therefore, it is very crucial to accurately estimate the …
[HTML][HTML] Machine learning-based automatic control of tunneling posture of shield machine
For a tunnel driven by a shield machine, the posture of the driving machine is essential to
the construction quality and environmental impact. However, the machine posture is …
the construction quality and environmental impact. However, the machine posture is …
Predictive modeling of short-term rockburst for the stability of subsurface structures using machine learning approaches: T-SNE, K-Means clustering and XGBoost
Accurate prediction of short-term rockburst has a significant role in improving the safety of
workers in mining and geotechnical projects. The rockburst occurrence is nonlinearly …
workers in mining and geotechnical projects. The rockburst occurrence is nonlinearly …
Novel ensemble intelligence methodologies for rockburst assessment in complex and variable environments
Rockburst is a severe geological hazard that restricts deep mine operations and tunnel
constructions. To overcome the shortcomings of widely used algorithms in rockburst …
constructions. To overcome the shortcomings of widely used algorithms in rockburst …
Novel ensemble tree solution for rockburst prediction using deep forest
The occurrence of rockburst can cause significant disasters in underground rock
engineering. It is crucial to predict and prevent rockburst in deep tunnels and mines. In this …
engineering. It is crucial to predict and prevent rockburst in deep tunnels and mines. In this …
Short-term rockburst risk prediction using ensemble learning methods
Short-term rockburst risk prediction plays a crucial role in ensuring the safety of workers.
However, it is a challenging task in deep rock engineering as it depends on many factors …
However, it is a challenging task in deep rock engineering as it depends on many factors …
Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm
J Zhou, H Guo, M Koopialipoor… - Engineering with …, 2021 - Springer
When working on underground projects, especially where ground is burst prone, it is of a
high significance to accurately predict the risk of rockburst. The present paper integrates the …
high significance to accurately predict the risk of rockburst. The present paper integrates the …
Assessment of rockburst risk using multivariate adaptive regression splines and deep forest model
D Guo, H Chen, L Tang, Z Chen, P Samui - Acta Geotechnica, 2022 - Springer
Rockburst is a major instability issue faced by underground excavation projects, which is
induced by the instantaneous release of a large amount of strain energy stored in rock mass …
induced by the instantaneous release of a large amount of strain energy stored in rock mass …