Results 51 to 60 of about 2,276 (212)

A scientometric review of structure rockburst research: current trends and future directions

Frontiers in Earth Science, 2023
Based on practical construction experience, it is observed that a significant number of rockburst-prone regions exhibit structural surfaces of varying scales that exert a controlling influence on rockburst. Therefore, it is crucial to review the progress
Yuanhang Zhang, Yuanyou Xia, Jian Huang
doaj   +1 more source

Investigation on the failure evolution characteristics of surrounding rock in deep cross‐fault roadway: Based on physical model test and numerical simulation

Deep Underground Science and Engineering, EarlyView.
This study reveals the failure evolution characteristics of deep cross‐fault roadway surrounding rock under excavation support and periodic weighting. Periodic weighting readily induces fault activation, with the spatial distribution of failed rock masses being controlled by the fault strike and dip.
Tiezhu Li, Suping Peng, Jing Zheng, Zhanhua Yang, Qijun Tian   +4 more
wiley   +1 more source

Architecture research of digitalized source governance system for rock burst prevention: A case study of Xinjie Taigemiao Mining Area

Meitan kexue jishu
Surrounding mines of the Xinjie Taigemiao Mining Area are all typical rock burst-prone collieries. Based on the principle of engineering analogy, it can be conclusively determined that future rock burst events will significantly jeopardize the safe and ...
Xudong WANG, Jianwei ZHENG, Haitao LI, Qingxin QI, Junliang DONG, Mou LYU, Liang ZHANG, Yiqin LIU, Haikuan ZHANG, Shanshan XUE, Huaguang LIU, Weisheng DU, Fucheng GUO   +12 more
doaj   +1 more source

Mining-induced seismicity of a seam located in rock mass made of thick sandstone layers with very low strength and deformation parameters

Journal of Sustainable Mining, 2018
The paper presents the results of calculations and analyses aimed at explaining the cause and mechanism of strong seismic events E ≥ 105 J (local magnitude, Ml ≥ 1.7).
Jan Drzewiecki, Jacek Myszkowski
doaj   +1 more source

Energy Evolution and AE Failure Precursory Characteristics of Rocks with Different Rockburst Proneness

Advances in Civil Engineering, 2020
Mastering the precursory information of rock failure is the basis of scientifically predicting rockburst, and AE technology is an effective means to solve this problem.
Feng Pei, Hongguang Ji, Jiwei Zhao, Jingming Geng   +3 more
doaj   +1 more source

Intelligent Detection of Small Faults Using a Support Vector Machine

Energies, 2021
The small fault with a vertical displacement (or drop) of 2–5 m has now become an important factor affecting the production efficiency and safety of coal mines.
Aiping Zeng, Lei Yan, Yaping Huang, Enming Ren, Tao Liu, Hui Zhang   +5 more
doaj   +1 more source

Analysis and Optimization of Early‐Warning Indicators for Impact Critical Stress in Deep Soft Coal Seams

Energy Science &Engineering, EarlyView.
This study determines the impact critical stress early‐warning indicators for deep soft coal seams: 18 MPa (shallow holes), 20 MPa (deep holes), and 3 MPa/d daily stress change rate, via theoretical, experimental and simulation methods. ABSTRACT The accurate determination of early‐warning indicators for critical impact stress in deep soft coal seams is
Haichen Yin, Xiufeng Zhang, Atao Li, Yanliang Wang, Long Yuan, Chaohong Shi, Yang Chen, Caiping Lu, Liangjin Jiang   +8 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, Volume 5, Issue 2, Page 446-464, June 2026.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Ensemble stacking rockburst prediction model based on Yeo–Johnson, K-means SMOTE, and optimal rockburst feature dimension determination

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
doaj   +1 more source

Application of KNN-based isometric mapping and fuzzy c-means algorithm to predict short-term rockburst risk in deep underground projects

Frontiers in Public Health, 2022
The rockburst phenomenon is the major source of the high number of casualties and fatalities during the construction of deep underground projects. Rockburst poses a severe hazard to the safety of employees and equipment in subsurface mining operations ...
Muhammad Kamran, Barkat Ullah, Mahmood Ahmad, Mohanad Muayad Sabri Sabri   +3 more
doaj   +1 more source