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Development of Rockburst Research: A Comprehensive Review
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 +3 more
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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 +5 more
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Rockburst is a complex dynamic disaster in coal mining and affected by many factors. To accurately predict the rockburst hazard among complex influencing factors, a prediction model of rockburst hazard based on the Gaussian process for binary ...
Tianwei Lan +7 more
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Research on Rockburst Risk Level Prediction Method Based on LightGBM−TCN−RF
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 +3 more
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Combined prediction of rockburst based on multiple factors and stacking ensemble algorithm
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 +6 more
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D-P-Transformer: A Distilling and Probsparse Self-Attention Rockburst Prediction Method
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 +4 more
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Rockburst Intensity Classification Prediction Based on Multi-Model Ensemble Learning Algorithms
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
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Study on Rockburst Tendency of Deep Underground Engineering based on Multi-Factor Influence
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
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Advances in mining safety theory, technology, and equipment [PDF]
Mineral resources are an important pillar of human social development. With the gradual depletion of shallow resources, deep mining is an inevitable choice for ensuring energy security in various countries in the future. The complex and harsh environment
He, Shengquan +6 more
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Application research of DHNN model in prediction of classification of rockburst intensity
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 +5 more
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