Results 161 to 170 of about 4,719,386 (185)

Prediction and prevention of rockburst in metal mines – A case study of Sanshandao gold mine

Journal of Rock Mechanics and Geotechnical Engineering, 2016
Rockburst is a kind of artificial earthquake induced by human activities, such as mining excavations. The mechanism of rockburst induced by mining disturbance is revealed in terms of energy in this context.
Meifeng Cai
exaly   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Combining machine learning and numerical modelling for rockburst prediction

Geomechanics and Geoengineering, 2023
The application of machine learning in geotechnical problems has grown rapidly. However, an issue in phenomena, such as rockburst, is the limited and imbalanced datasets, which deteriorate the reliability of machine learning algorithms.
D. Papadopoulos, A. Benardos
semanticscholar   +1 more source

Rockburst Prediction via Multiscale Graph Convolutional Neural Network

Rock Mechanics and Rock Engineering
Yanmin Zhu, Shuzhi Su, Tianxiang Gao
exaly   +2 more sources

Rockburst Intensity Prediction based on Kernel Extreme Learning Machine (KELM)

Acta Geologica Sinica (English)
As one of the most serious geological disasters in deep underground engineering, rockburst has caused a large number of casualties. However, because of the complex relationship between the inducing factors and rockburst intensity, the problem of ...
Yidong Xiao, Shengwen Qi, Song-Feng Guo, Shi-Shu Zhang, Zan Wang, F. Gong   +5 more
semanticscholar   +1 more source

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

Acta Geotechnica, 2023
Y. Qiu, Jian Zhou
semanticscholar   +1 more source

Rockburst Prediction and Evaluation Model for Hard Rock Engineering Based on Extreme Gradient Boosting Ensemble Learning and SHAP Value

Geotechnical and Geological Engineering, 2023
Long Chen, Shun-Chuan Wu, Ai-Bing Jin, Chao-Jun Zhang, Xue Li   +4 more
semanticscholar   +1 more source

A rockburst prediction model based on extreme learning machine with improved Harris Hawks optimization and its application

Tunnelling and Underground Space Technology, 2023
Ming-Liang Li, Ke-Gang Li, Qing Qin
semanticscholar   +1 more source

Application of KM-SMOTE for rockburst intelligent prediction

Tunnelling and Underground Space Technology, 2023
Yiguo Xue, Daohong Qiu, Guangkun Li
exaly  

Strength of Stacking Technique of Ensemble Learning in Rockburst Prediction with Imbalanced Data: Comparison of Eight Single and Ensemble Models

Natural Resources Research, 2021
Xin Yin, Quan-Sheng Liu, Yu-Cong Pan, Xing Huang, Jian Wu, Xin-Yu Wang   +5 more
semanticscholar   +1 more source

Correlation between the rockburst proneness and friction characteristics of rock materials and a new method for rockburst proneness prediction: Field demonstration

Journal of Petroleum Science and Engineering, 2021
Yunsheng Chen
exaly