Results 31 to 40 of about 422 (172)

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

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

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

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

Prediction of rockburst classification using Random Forest

Transactions of Nonferrous Metals Society of China, 2013
Abstract The method of Random Forest (RF) was used to classify whether rockburst will happen and the intensity of rockburst in the underground rock projects. Some main control factors of rockburst, such as the values of in-situ stresses, uniaxial compressive strength and tensile strength of rock, and the elastic energy index of rock, were selected in
Long-jun DONG, Xi-bing LI, Kang PENG
openaire   +1 more source

A rock brittleness index based on the postpeak energy release rate and damage surface characteristics for brittle hard rock

Deep Underground Science and Engineering, EarlyView.
This study examines energy evolution in rock rupture via triaxial direct shear tests, exploring the impact of confining pressure and temperature on fracture surface randomness. A novel energy‐based brittleness index is proposed, validated experimentally, and compared with existing methods for reliability and accuracy.
Biao Wang, Zaobao Liu, Jing Xue, Bo Lu, Wei Zeng, Dengke Zhang   +5 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