Results 131 to 140 of about 2,608,139 (189)

Deformation theory and energy mechanism of cyclic dynamic mechanical damage for granite in the diversion tunnel under cyclic loading-unloading. [PDF]

iScience
Yang R, Xu Y.
europepmc   +1 more source

Coal and gas outburst prediction based on data augmentation and neuroevolution. [PDF]

PLoS One
Shi W, Huang J, Yang G, Su S, Jiang S.
europepmc   +1 more source

Study on the energy characteristics of rocks under cyclic loading and unloading. [PDF]

Sci Rep
Niu S, Wu J, Zhao J.
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Identification of anomalous geological structures for iron mines using a multi-geophysical prospecting method: a case study of Songhu iron mine. [PDF]

Sci Rep
Ma J, Gao Z, Zhang P, Shi L, Qu J, Gao W, Shi S, Ma C.   +7 more
europepmc   +1 more source

Study on the influence of fracture geometric characteristics on the microscopic crack propagation and energy release mechanism in granite. [PDF]

Sci Rep
Qin T, Li L, Nie C, Zhou J, Liu Q, Cheng L.   +5 more
europepmc   +1 more source

Rockburst conditions prediction based on a decision tree algorithm

D. Owusu-Ansah, J. Tinoco, J. Matos, F. Lohrasb   +3 more
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Long range rockburst prediction: A seismological approach

International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1994
Abstract Rockbursts are one of the most dreadful operational hazards of mining. While it is not possible to eliminate them from deeper level mining, the risk of their occurrence and consequential losses can be minimized if the spatio-temporal occurrence of the impending rockburst can be predicted.
P.C. Jha, R.K.S. Chouhan
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Rockburst Prediction via Multiscale Graph Convolutional Neural Network

Rock Mechanics and Rock Engineering
Shuzhi Su, Tianxiang Gao, Yanmin Zhu, Xianjin Fang, Tengyue Fan   +4 more
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Revisiting Rockburst Predictive Models for Seismically Active Mines

56th U.S. Rock Mechanics/Geomechanics Symposium, 2022
ABSTRACT: Rockburst is a mining-induced seismic event characterized by a sudden explosion of rock due to the release of strain energy stored in rock mass, often occurring in high geo-stress and other unfavorable geological conditions.
A. Kulgatov, A. C. Adoko
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Combining machine learning and numerical modelling for rockburst prediction

Geomechanics and Geoengineering, 2023
The application of machine learning in geotechnical problems has grown rapidly. However, an issue in phenomena, such as rockburst, is the limited and imbalanced datasets, which deteriorate the reliability of machine learning algorithms.
Dimitrios Papadopoulos, Andreas Benardos
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