Results 21 to 30 of about 2,608,139 (189)

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   +2 more sources

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   +2 more sources

Development of Rockburst Research: A Comprehensive Review

Applied Sciences, 2022
Rockburst is a difficult problem in underground resource development and infrastructure construction. With scientific and technological progress, more research technologies and methods to prevent rockburst have been proposed and applied. Research content
Meng Wu, Yicheng Ye, Qihu Wang, Nanyan Hu   +3 more
doaj   +1 more source

Probabilistic classification prediction of rockburst intensity in a deep buried high geo-stress rock tunnel during engineering investigation

Shuiwen dizhi gongcheng dizhi, 2022
Rockburst is a dynamic process of a sudden and rapid release of elastic strain energy stored in hard rock mass during underground excavation. The occurrence of rockburst disaster during tunnel construction will cause serious consequences such as ...
Weijun LIU, Junqi FAN, Tianbin LI, Peng GUO, Peng ZENG, Guanghong JU   +5 more
doaj   +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

Combined prediction of rockburst based on multiple factors and stacking ensemble algorithm

Underground Space, 2023
Rockburst is a kind of common geological disaster in deep tunnel engineering. It has the characteristics of causing great harm and occurring at random locations and times.
Hu Luo, Yong Fang, Jianfeng Wang, Yubo Wang, Hang Liao, Tao Yu, Zhigang Yao   +6 more
doaj   +1 more source

D-P-Transformer: A Distilling and Probsparse Self-Attention Rockburst Prediction Method

Energies, 2022
Rockburst may cause damage to engineering equipment, disrupt construction progress, and endanger human life. To this day, the occurrence of rockburst remains complex and difficult to predict.
Yu Zhang, Jitao Li, Dongqiao Liu, Guangshu Chen, Jiaming Dou   +4 more
doaj   +1 more source

Rockburst Intensity Classification Prediction Based on Multi-Model Ensemble Learning Algorithms

Mathematics, 2023
Rockburst is a common and huge hazard in underground engineering, and the scientific prediction of rockburst disasters can reduce the risks caused by rockburst.
Jiachuang Wang, Haoji Ma, Xianhang Yan
doaj   +1 more source

Study on Rockburst Tendency of Deep Underground Engineering based on Multi-Factor Influence

Electronic Journal of Structural Engineering, 2023
Rockburst disaster seriously threatens the construction schedule of underground tunnel engineering and the safety of construction workers. Rockburst prediction has become one of the critical methods for evaluation of surrounding rock stability and safe ...
Zihui Zhu, Feiyue Sun, Jiaqi Guo
doaj   +1 more source

Prediction and Evaluation of Rockburst Based on Depth Neural Network

Advances in Civil Engineering, 2021
The formation mechanism of rockburst is complex, and its prediction has always been a difficult problem in engineering. According to the tunnel engineering data, a three-dimensional discrete element numerical model is established to analyze the initial ...
Jin Zhang, Mengxue Wang, Chuanhao Xi
doaj   +1 more source