Results 41 to 50 of about 562 (174)

Mechanism of “seesaw‐type” rock burst in coal seam mining beneath mountainous areas

Deep Underground Science and Engineering, EarlyView.
This study reveals the mechanism of “seesaw‐type” rock bursts during coal mining beneath mountainous areas. The advancing working face induces nonuniform fracturing of the overburden. The detached mountain mass then undergoes a seesaw‐type rotational movement around a shifting pivot, driving the primary fracture through a characteristic “open‐close ...
Chao Zhou, Xueqiu He, Zhenlei Li, Ping Wang, Dazhao Song, Fuxing Jiang, Shan Yin, Anliang Lü, Menghan Wei, Taoping Zhong   +9 more
wiley   +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

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
doaj   +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

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

Rockburst multi-factor coupling prediction and quantitative analysis of influencing Factors’ SHAP values based on TPE-FDM-XGBoost model

Ain Shams Engineering Journal
Accurately predicting rockburst and clarifying its influencing factors is a crucial support for ensuring the safe and efficient construction of underground projects, deepening the theory of geological disasters, and promoting engineering technology ...
Chao Peng, Wanrong Liu, Miao Liu, Xiao Wang, Xiaotong Du   +4 more
doaj   +1 more source

A New Theoretical View of Rockburst and Its Engineering Application

Advances in Civil Engineering, 2018
Traditionally, rockburst is considered as a dynamic phenomenon of sudden destruction of coal/rock mass. In this study, rockburst is treated as an event process rather than a phenomenon. This paper introduces typical rockburst process, its classification,
Junfeng Pan, Shaohong Liu, Shuwen Wang, Yongxue Xia   +3 more
doaj   +1 more source

Experimental Research on Brittleness and Rockburst Proneness of Three Kinds of Hard Rocks under Uniaxial Compression

Advances in Civil Engineering, 2021
Rockburst is a highly destructive geological disaster caused by excavation and unloading of hard and brittle rock mass under high geostress environment. Quantitative evaluation of rock brittleness and rockburst proneness is one of the important tasks in ...
Rongchao Xu, Yiding Jin, Yumin Zhang
doaj   +1 more source

Experimental study on revealing the mechanism of rockburst prevention by drilling pressure relief: status-of-the-art and prospects

Geomatics, Natural Hazards & Risk, 2022
High stress caused by excavation is an inevitable part of deep underground rock mass engineering or mining process, which is the key to induce disasters such as rockbursts.
Fengqiang Gong, Zhichao He, Xuefeng Si
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