Results 11 to 20 of about 2,276 (212)

Decision Tree Model for Rockburst Prediction Based on Microseismic Monitoring

Advances in Civil Engineering, 2021
Rockburst is an extremely complex dynamic instability phenomenon for rock underground excavation. It is difficult to predict and evaluate the rank level of rockburst in practice.
Hongbo Zhao, Bingrui Chen, Changxing Zhu
doaj   +2 more sources

Definition and classification of rockburst

Rock Mechanics Bulletin
The rockburst is a violent failure in rock during mining and tunneling operations. Since tunnel constructions for hydropower and transportation purposes and mining operations in deep rock masses have been increasing recently, more frequent rockburst cases have been reported.
Manchao He, Ismet Canbulat, Fidelis T. Suorineni, Murat Karakus, Wen Nie, Dongqiao Liu, Chengguo Zhang, Alexey Nagibin, Bauyrzhan Rustembek   +8 more
openaire   +3 more sources

Experimental Investigation of the Formation of Rockburst Pits in Circular Tunnel Based on CT Scanning

Advances in Civil Engineering, 2020
The rockburst simulation experiments of granite samples with a circular hole under biaxial loading were conducted, and the samples were scanned by computed tomography (CT) at the end of experiment.
Peng Liang, Yanbo Zhang, Xulong Yao, Lin Sun, Baozhu Tian   +4 more
doaj   +2 more sources

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   +2 more sources

Study on Catastrophe Information Characteristics of Strain-Structural Plane Slip Rockburst in Deep Tunnels

Applied Sciences, 2023
Rigid structural planes encountered during construction have an obvious influence on rockburst intensity and occurrence mechanism. The high-intensity rockburst induced by the structural plane poses a great threat to the safety construction of the tunnel.
Jiaqi Guo, Zihui Zhu, Hengyuan Zhang, Feiyue Sun, Benguo He   +4 more
doaj   +2 more sources

Experimental Simulation Investigation on Slab Buckling Rockburst in Deep Tunnel

Applied Sciences
The relationship between slabbing failure and rockburst has become a hot issue in rockburst research. In this paper, the experimental system of impact rockburst is used to conduct a simulation experiment of rockburst induced by slab failure on ...
Chao Ren, Xiaoming Sun, Manchao He, Dongqiao Liu   +3 more
doaj   +2 more sources

A Study of Rockburst Hazard Evaluation Method in Coal Mine [PDF]

Shock and Vibration, 2016
With the increasing of coal mining depth, the mining conditions are deteriorating, and dynamic hazard is becoming more likely to happen. This paper analyzes the relations and differences between rockburst in the coal mine and rockburst in the metal mine.
Zhijie Wen, Xiao Wang, Yunliang Tan, Hualei Zhang, Wanpeng Huang, Qinghai Li   +5 more
doaj   +2 more sources

Rockburst Intensity Level Prediction Method Based on FA-SSA-PNN Model

Energies, 2022
To accurately and reliably predict the occurrence of rockburst disasters, a rockburst intensity level prediction model based on FA-SSA-PNN is proposed. Crding to the internal and external factors of rockburst occurrence, six rockburst influencing factors
Gang Xu, Kegang Li, Mingliang Li, Qingci Qin, Rui Yue   +4 more
doaj   +2 more sources

Optimization of Rockburst Risk Control Measures for Deeply Buried TBM Tunnels: A Case Study

Buildings, 2023
Choosing reasonable control measures for different intensity rockburst risks not only effectively prevents and mitigates rockburst risks but also reduces time and engineering investment costs.
Pengxiang Li, Jinshuai Zhao, Wankui Bu, Wenjing Niu, Pinpin Liu, Minghong Sun   +5 more
doaj   +2 more sources

Application research of DHNN model in prediction of classification of rockburst intensity

Gong-kuang zidonghua, 2018
In view of problems of randomness and subjectivity in determining weight of existing rockburst prediction methods，a discrete Hopfield neural network (DHNN) model for prediction of classification of rockburst intensity was proposed。The model selects ...
XU Jia, CHEN Junzhi, LIU Chenyu, WANG Jiaxin, LONG Gang, LI Chunyi   +5 more
doaj   +2 more sources