Prediction and classification technology of rockburst hazard in deep buried and high in-situ stress tunnel. [PDF]
Sci RepLi H, Yang Y, Zhang Z, Tang L.
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Theoretical study and application of energy extreme value discrimination method of softening zone for bursting hazard. [PDF]
Sci Prog, 2022 Zhu X, Qi Q, Xiao Y.
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AdaBoost model for rockburst intensity prediction considering class differences and quantitative characterization of misclassification difference. [PDF]
Sci RepZhang Y, Zhang G, Huang T, Liu Y, Hu N.
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Study on the phenomenon of the ultra-large drilling cuttings quantity in rockburst coal seam. [PDF]
Sci RepZheng W, Pan Y, Shi T.
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Comparative study of unbalanced mining disaster risk level prediction based on artificial intelligence algorithms. [PDF]
Sci RepBin Z +7 more
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Prediction of Rockburst at Mufulira Mine, Copperbelt, Zambia
Prediction of Rockburst at Mufulira Mine, Copperbelt, ZambiaThe overall aim of this study is to provide methods for prediction of rockburst in deep underground mines, using Mufulira mine in Zambia's Copperbelt as a case study. For over 40 years, Mufulira underground copper mine has been recording incidents of rockburst.
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Unified failure model for landslides, rockbursts, glaciers, and volcanoes. [PDF]
Commun Earth EnvironLei Q, Sornette D.
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Disaster treatment and multisource monitoring of rockbursts in isolated island coal face under hard roof conditions. [PDF]
Sci RepYun M, Ren J, Zhang L, Guo F, Chen X.
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A prediction model for microseismic signals based on kernel extreme learning machine optimized by Harris Hawks algorithm. [PDF]
Sci RepZhu W +5 more
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Long-term prediction modeling of shallow rockburst with small dataset based on machine learning. [PDF]
Sci RepRao G +8 more
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