Results 91 to 100 of about 1,572 (209)

Analysis of rock burst in critical section of second part of Karaj-Tehran Water Supply Tunnel [PDF]

, 2011
Practical Applications and Case ...
Ghaderi-Meybodi, R., Khanlari, Gholamreza   +1 more
core  

Experimental investigation on rockburst characteristics of highly stressed D-shape tunnel subjected to impact load [PDF]

Rockburst has always been a challenge for the safe construction of deep underground engineering. This study investigated the rockburst characteristics in highly-stressed D-shape tunnels under impact loads from rock blasting and other mining-related ...
Gong, Fengqiang, Wu, Wuxing, Zhang, Zongxian   +2 more
core   +1 more source

Novel stacking models based on SMOTE for the prediction of rockburst grades at four deep gold mines

Underground Space
Rockburst is a frequently encountered hazard during the production of deep gold mines. Accurate prediction of rockburst is an important measure to prevent rockburst in gold mines.
Peng Xiao, Zida Liu, Guoyan Zhao, Pengzhi Pan   +3 more
doaj   +1 more source

Rockbursts [PDF]

, 1950
This paper does not pretend to originality; it is an attempt to bring to light the causes and the mechanism of rockbursts, as exposed in the literature. Furthermore, an endeavor has been made to give a comprehensive picture of the prediction, prevention,
Colson, Christian Maurice
core   +1 more source

Prediction of TBM tunneling parameters and rockburst grade based on CNN-LSTM model

Meitan kexue jishu
In order to improve the intelligent construction and disaster prediction capabilities of TBM in traffic water conservancy and deep coal mine engineering, the CNN-LSTM model combining the advantages of convolutional neural network (CNN) and long short ...
Ke MAN, Liwen WU, Xiaoli LIU, Zhifei SONG, Kena LI   +4 more
doaj   +1 more source

Deep Learning in Rockburst Intensity Level Prediction: Performance Evaluation and Comparison of the NGO-CNN-BiGRU-Attention Model

Applied Sciences
Rockburst is an extremely hazardous geological disaster. In order to accurately predict the hazardous degree of rockbursts, this paper proposes eight new classification models for predicting the intensity level of rockbursts based on intelligent ...
Hengyu Liu, Tianxing Ma, Yun Lin, Kang Peng, Xiangqi Hu, Shijie Xie, Kun Luo   +6 more
doaj   +1 more source

Barrett v. Hecla Min. Co. Clerk\u27s Record v. 5 Dckt. 43639 [PDF]

, 2015
https://digitalcommons.law.uidaho.edu/idaho_supreme_court_record_briefs/7118/thumbnail ...

core   +1 more source

Rockburst prediction and early warning for a highway tunnel excavated by TBM based on microseismic monitoring

Frontiers in Earth Science
A newly developed microseismic (MS) monitoring system was employed in the Tianshan-Shengli tunnel to detect MS activities and then predict and provide early warning of rockburst disasters.
Jian Zhao, Dan Huang, Yongshun Cai, Dengxia Huang, Xiaolong Zhou, Fei Wang, Yuxiang Pan   +6 more
doaj   +1 more source

Distriformer: Research on a Distributed Training Rockburst Prediction Method

Processes
The precise forecasting of rockburst is fundamental for safeguarding human lives and property, upholding national energy security, and protecting social welfare. Traditional methods for predicting rockburst suffer from poor accuracy and extended model training durations.
Yu Zhang, Kongyi Fang, Zhengjia Guo
openaire   +1 more source

The Law and Mechanism of Rockburst Occurring in Huize Lead—Zinc Mine [PDF]

, 2004
Rockburst is a geological disaster of dynamic equilibrium loss. According to the rock core disking and the schistose scaling on the sidewalls of cross-cut drift found in the drilling exploration of engineering geology and the site investigation in the ...
Chen, Jin, Hui, Tang Shao
core   +1 more source