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Analysis of key geological structures and rockburst prediction method [PDF]

Scientific Reports
Rockburst disasters generally occur within specific geological structures. Consequently, predicting and evaluating the potential rockbursts necessitates more focuses on the “geological carrier”. Considering the geological structure effects of rockbursts,
Chunchi Ma, Yang Yuan, Xiang Ji, Feng Peng, Ziquan Chen, Hang Zhang   +5 more
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Ensemble stacking rockburst prediction model based on Yeo–Johnson, K-means SMOTE, and optimal rockburst feature dimension determination [PDF]

Scientific Reports, 2022
Rockburst forecasting plays a crucial role in prevention and control of rockburst disaster. To improve the accuracy of rockburst prediction at the data structure and algorithm levels, the Yeo–Johnson transform, K-means SMOTE oversampling, and optimal ...
Lijun Sun, Nanyan Hu, Yicheng Ye, Wenkan Tan, Menglong Wu, Xianhua Wang, Zhaoyun Huang   +6 more
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A self-supervision rockburst risk prediction algorithm based on automatic mining of rockburst prediction index features

Frontiers in Earth Science
The rockburst risk prediction based on microseismic (MS) data is an important research task in deep mine safety prevention. However, the lack of systematic research on explicit prediction indexes and the waste of a large amount of unlabeled data are ...
Xiufeng Zhang, Haikuan Zhang, Haitao Li, Guoying Li, Shanshan Xue, Haichen Yin, Yang Chen, Fei Han   +7 more
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Rockburst prediction using artificial intelligence techniques: A review

Rock Mechanics Bulletin
Rockburst is a phenomenon where sudden, catastrophic failure of the rock mass occurs in underground deep regions or areas with high tectonic stress during the excavation process.
Yu Zhang, Kongyi Fang, Manchao He, Dongqiao Liu, Junchao Wang, Zhengjia Guo   +5 more
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Rockburst prediction and prevention in underground space excavation

Underground Space, 2023
The technical challenges associated with deep underground space activities have become increasingly significant. Among these challenges, one major concern is the assessment of rockburst risks and the instability of rock masses.
Jian Zhou, Yulin Zhang, Chuanqi Li, Haini He, Xibing Li   +4 more
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Event recognition technology and short-term rockburst early warning model based on microseismic monitoring and ensemble learning [PDF]

Scientific Reports
Rockbursts are a significant geological hazard in deep underground engineering, and accurate short-term risk prediction can mitigate safety risks to personnel and equipment.
Zibin Li, Dengpan Qiao, Tianyu Yang, Jun Wang, Hao Chen   +4 more
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Data-Driven Model for Rockburst Prediction [PDF]

Mathematical Problems in Engineering, 2020
Rockburst is an extremely complex dynamic instability phenomenon for rock engineering. Due to the complex and unclear mechanism of rockburst, it is difficult to predict precisely and evaluate reasonably the potential of rockburst. With the development of data science and increasing of case history from rock engineering, the data-driven method provides ...
Hongbo Zhao, Bingrui Chen
openaire   +1 more source

A Decision Tree for Rockburst Conditions Prediction

Applied Sciences, 2023
This paper presents an alternative approach to predict rockburst using Machine Learning (ML) algorithms. The study used the Decision Tree (DT) algorithm and implemented two approaches: (1) using DT model for each rock type (DT-RT), and (2) developing a single DT model (Unique-DT) for all rock types.
Dominic Owusu-Ansah, Joaquim Tinoco, Faramarzi Lohrasb, Francisco Martins, José Matos   +4 more
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Rockburst Intensity Level Prediction Method Based on FA-SSA-PNN Model

Energies, 2022
To accurately and reliably predict the occurrence of rockburst disasters, a rockburst intensity level prediction model based on FA-SSA-PNN is proposed. Crding to the internal and external factors of rockburst occurrence, six rockburst influencing factors
Gang Xu, Kegang Li, Mingliang Li, Qingci Qin, Rui Yue   +4 more
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Regional prediction and prevention analysis of rockburst hazard based on the Gaussian process for binary classification

Frontiers in Earth Science, 2022
Rockburst is a complex dynamic disaster in coal mining and affected by many factors. To accurately predict the rockburst hazard among complex influencing factors, a prediction model of rockburst hazard based on the Gaussian process for binary ...
Tianwei Lan, Zhijia Zhang, Jiawei Sun, Wenqi Zhao, Mancang Zhang, Weidong Jia, Mingwei Liu, Xutao Guo   +7 more
doaj   +1 more source