Results 41 to 50 of about 4,340 (216)

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
semanticscholar   +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

Research on Rockburst Risk Level Prediction Method Based on LightGBM−TCN−RF

Applied Sciences, 2022
Rockburst hazards pose a severe threat to mine safety. To accurately predict the risk level of rockburst, a LightGBM−TCN−RF prediction model is proposed in this paper.
Li Ma, Jiajun Cai, Xinguan Dai, Ronghao Jia   +3 more
doaj   +1 more source

Occurrence mechanism and prevention technology of rockburst, coal bump and mine earthquake in deep mining

Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Rockburst, coal bump, and mine earthquake are the most important dynamic disaster phenomena in deep mining. This paper summarizes the differences and connections between rockburst, coal bumps and mine earthquakes in terms of definition, mechanism ...
Kun Du, Ruiyang Bi, Manoj Khandelwal, Gui-chen Li, Jian Zhou   +4 more
semanticscholar   +1 more source

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

Deep Underground Science and Engineering, EarlyView.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan, Haijiang Li, Hongqiang Xie, Mingli Xiao, Jianliang Pei, Huaizhong Liu, Jiangda He   +6 more
wiley   +1 more source

Energy Evolution and AE Failure Precursory Characteristics of Rocks with Different Rockburst Proneness

Advances in Civil Engineering, 2020
Mastering the precursory information of rock failure is the basis of scientifically predicting rockburst, and AE technology is an effective means to solve this problem.
Feng Pei, Hongguang Ji, Jiwei Zhao, Jingming Geng   +3 more
doaj   +1 more source

A new empirical chart for rockburst analysis in tunnelling: Tunnel rockburst classification (TRC)

International Journal of Mining Science and Technology, 2021
Rockburst is defined as a phenomenon with immediate dynamic instability under excavation unloading conditions of deep or high geostress areas. Inadequate knowledge and lack of characterizing information prevent engineers and experts from achieving appropriate prediction results related to the rockburst behaviour. In this study, a data set including 220
openaire   +2 more sources

The damage and failure mechanism of prestatically loaded rock during medium‐strain rate cyclic impact loading

Deep Underground Science and Engineering, EarlyView.
Based on experimental results and theoretical analysis, an established rock damage accumulation model that comprehensively considers the preapplied static load, impact peak value, impact frequency, and impact times. Abstract To study the rock damage mechanism under high static loading and superimposed medium strain rate cyclic impact loading, a series ...
Wei Wang, Hanpeng Wang, Zicheng Wang, Xinyuan Xie, Yunhao Wu, Jinhou Zhang, Dekang Sun   +6 more
wiley   +1 more source

A Study of Rockburst Hazard Evaluation Method in Coal Mine

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   +1 more source

Monitoring, Warning, and Control of Rockburst in Deep Metal Mines

Engineering, 2017
This paper reviews the recent achievements made by our team in the mitigation of rockburst risk. It includes the development of neural network modeling on rockburst risk assessment for deep gold mines in South Africa, an intelligent microseismicity ...
Xia-Ting Feng, Jianpo Liu, Bingrui Chen, Yaxun Xiao, Guangliang Feng, Fengpeng Zhang   +5 more
doaj   +1 more source