Results 41 to 50 of about 1,288 (184)

Quantitative Calculation of Critical Depth in Typical Rockburst Mine

Advances in Civil Engineering, 2020
In order to calculate the critical depth of a typical rockburst coal mine quantitatively, which is helpful in rockburst prevention and control, in this paper, the concept of typical rockburst coal mine and atypical rockburst coal mine is put forward ...
Hai Rong, Shiqi Yu, Hongwei Zhang, Bing Liang   +3 more
doaj   +1 more source

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

Energy Science &Engineering, Volume 14, Issue 8, Page 3726-3740, August 2026.
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

Research on the Critical Mechanical Criterion for Stick‐Slip Instability of Mining‐Affected Normal Faults Based on the Rate‐and‐State Friction Law

Energy Science &Engineering, Volume 14, Issue 8, Page 3935-3947, August 2026.
Mining disturbance tends to trigger fault stick‐slip instability and induce disasters. This paper establishes a mechanical model to propose a critical criterion, which is verified to be reliable via FLAC3D, providing a theoretical basis for early warning of fault slip disasters.
Bowen Wu, Yanhui Li
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

Seismic Insights Into the Role of Rockfall in Rockslide Destruction Processes

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract The dynamic link between rockslide failure and rockfall activity remains elusive, primarily due to the challenge of detecting weak signals amidst high noise. We propose a seismic attribute guided deep learning framework that formulates rockfall detection as a time‐series segmentation task, facilitating the precise extraction of rockfall events
Yaojun Wang, Yuxi Chen, Tuo Zhang, Hai Huang, Qi Zhou   +4 more
wiley   +1 more source

Coupled CFD-FEM analysis of the damage causes of the retention bunker: a case study at hard coal mine

Scientific Reports
Underground coal storage bunkers serve as crucial infrastructural components in the coal mining industry, providing secure and accessible locations for the storage of mined coal.
Tomasz Janoszek, Marek Rotkegel
doaj   +1 more source

Rockburst failure characteristics of sandstone under true triaxial double-sided rapid unloading conditions under high pressure

Geohazard Mechanics
To explore the evolution process and failure characteristics of rockburst in rock masses with a double free surface structure, we conducted a comparative study between true triaxial double-face rapid unloading rockburst tests and single-face rapid ...
Jieyu Li, Pengfei Shan, Jianning Liu, Yunpeng Guo, Xiaomin Wang, Zihan Feng, Chenguang Liu, Chaochao Tian, Yuting Mao   +8 more
doaj   +1 more source

Effect of the Initial Support of the Tunnel on the Characteristics of Rockburst: Case Study and Mechanism Analysis

Advances in Civil Engineering, 2022
Rockburst is still a stubborn disease in the field of engineering geology. The present research pays more attention to the influence of geological conditions on rockburst and less to the influence of type and stiffness of engineering support on rockburst.
Chunchi Ma, Junqi Fan, Xiang Ji, Xiaoyan Shi, Jun Zeng   +4 more
doaj   +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