Results 41 to 50 of about 412 (171)

Characteristics of rockburst and early warning of microseismic monitoring at qinling water tunnel

Geomatics, Natural Hazards & Risk, 2022
In-depth records of the geological and rockburst data during the construction of the Qinling Water Tunnel of the Han to the Wei River project, analysis of the initial stress field distribution rules of the rock mass within a buried depth of 700 m ...
Tianhui Ma, Daoyuan Lin, Liexian Tang, Limin Li, Chun’an Tang, Kedar Prasad Yadav, Wendong Jin   +6 more
doaj   +1 more source

Rockburst prediction based on optimization of unascertained measure theory with normal cloud

Complex & Intelligent Systems, 2023
Rockburst is one of the common geological disasters in deep underground areas with high stress. Rockburst prediction is an important measure to know in advance the risk of rockburst hazards to take a scientific approach to the response.
Xingmiao Hu, Linqi Huang, Jiangzhan Chen, Xibing Li, Hongzhong Zhang   +4 more
doaj   +1 more source

Research on rockburst proneness evaluation method of deep underground engineering based on multi-parameter criterion

Electronic Journal of Structural Engineering, 2023
The study of rockburst criterion is the key to predict the occurrence of rockburst. Based on the energy principle, a new multi-parameter rockburst criterion (RPC) were established.
Feiyue Sun, Wenlong Wu, Zhijia Wang, Zhihai Liu, Zhuang Shao   +4 more
doaj   +1 more source

A prediction model on rockburst intensity grade based on variable weight and matter-element extension.

PLoS ONE, 2019
Rockburst is a common dynamic disaster in deep underground engineering. To accurately predict rockburst intensity grade, this study proposes a novel rockburst prediction model based on variable weight and matter-element extension theory.
Jianhong Chen, Yi Chen, Shan Yang, Xudong Zhong, Xu Han   +4 more
doaj   +1 more source

Multivariate Early Warning Method for Rockburst Monitoring Based on Microseismic Activity Characteristics

Frontiers in Earth Science, 2022
The monitoring of rockburst is one of the worldwide problems in underground engineering and how to effectively predict and early warn the occurrence of rockburst disasters has become an urgent problem to be solved.
Qun Yu, Danchen Zhao, Yingjie Xia, Shengji Jin, Jian Zheng, Qingkun Meng, Chaoqian Mu, Jingchi Zhao   +7 more
doaj   +1 more source

An Attempt to Use Machine Learning Algorithms to Estimate the Rockburst Hazard in Underground Excavations of Hard Coal Mine

Energies, 2021
Rockburst is a dynamic rock mass failure occurring during underground mining under unfavorable stress conditions. The rockburst phenomenon concerns openings in different rocks and is generally correlated with high stress in the rock mass.
Łukasz Wojtecki, Sebastian Iwaszenko, Derek B. Apel, Tomasz Cichy   +3 more
doaj   +1 more source

Predictive Modeling of Short-Term Rockburst for the Stability of Subsurface Structures Using Machine Learning Approaches: t-SNE, K-Means Clustering and XGBoost

Mathematics, 2022
Accurate prediction of short-term rockburst has a significant role in improving the safety of workers in mining and geotechnical projects. The rockburst occurrence is nonlinearly correlated with its influencing factors that guarantee imprecise predicting
Barkat Ullah, Muhammad Kamran, Yichao Rui   +2 more
doaj   +1 more source

Failure characteristics and the energy criterion of rock with a through‐going joint under true‐triaxial unloading conditions: Insights from the DEM model

Deep Underground Science and Engineering, EarlyView.
The rock failure mode is significantly influenced by the contributing factors, such as the joint inclination, the initial confining pressure, and the unloading point. We found six typical rock failure modes after a large number of numerical tests. Abstract Excavation unloading damages rock masses, with preferential failure along geological defects in ...
Fei Liu, Changhui Liang, Sijia Liu, Yongjun Zhang, Luo Wang   +4 more
wiley   +1 more source

Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design

Deep Underground Science and Engineering, EarlyView.
The Great Dyke of Zimbabwe is notable for its rich platinum group metal deposits but poses significant geological and geotechnical challenges due to its complex rock types and structural features. Traditional pillar design methods are insufficient for addressing these complexities; the study suggests incorporating advanced techniques such as machine ...
Tawanda Zvarivadza, Hendrik Grobler, Moshood Onifade, Manoj Khandelwal   +3 more
wiley   +1 more source

A prototype-based rockburst types and risk prediction algorithm considering intra-class variance and inter-class distance of microseismic data

Frontiers in Earth Science
The prediction and classification of rockburst risk based on microseismic data is the premise of preventing rockbursts during deep mine excavation. By reviewing previous studies, this paper finds two problems that hinder the rockburst prediction: 1 ...
Xiufeng Zhang, Guoying Li, Yang Chen, Hao Wang, Haikuan Zhang, Haitao Li, Weisheng Du, Xiao Li, Xuewei Xu, Yuze He   +9 more
doaj   +1 more source