Results 41 to 50 of about 1,540,028 (185)

Prediction of rockburst intensity grade based on convolutional neural network

, 2023
Rockburst is one of the urgent problems to be addressed in the process of deep resource extraction. In order to predict the rockburst disasters safely and efficiently, a rockburst intensity grade prediction model (MICE-CNN) based on the Multiple ...
Feng, DU, Kangnan, LI, Xiang, ZHANG, Yaqin, WU, Yiqiao, WANG   +4 more
core   +1 more source

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

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

AN INSIGHT OF ROCKBURST INTENSITY PREDICTION USING MACHINE LEARNING

, 2022
Rockburst is a violent explosion of rock, which happens mostly in high geo-stress conditions in underground excavations. This phenomenon occurs due to of the sudden release of strain energy stored in rock mass.
Kulgatov, Amir
core   +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

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

Nanoscale fracture mechanisms in defective α‐quartz induced by compression: Insights from molecular dynamics simulation

Deep Underground Science and Engineering, EarlyView.
Rock fracture can ultimately be traced to atomic bond breakage. Taking quartz as a representative mineral, this paper employs molecular dynamics to identify the crack initiation and propagation mechanisms for single‐hole cases, as well as crack coalescence modes between double holes under compression, providing a physical basis for multiscale modeling ...
Sheng Li, Hongchang Zhou, Yuhao Wu, Suifeng Wang, Jikai Sun   +4 more
wiley   +1 more source

Improved matter-element extension model and its application to prediction of rockburst intensity

, 2013
Based on the improved matter-element extension theory, an improved matter-element extension model used to predict the rockburst intensity was established.
Hu, J.-H., Zhou, K.-P., Shang, J.-L.
core   +7 more sources