Review of Studies of Mechanoelectrical Transformations in Rocks in Russia and Abroad [PDF]
, 2016 The problem of monitoring and forecast of dynamic manifestations of rock masses becomes immediate in the mining industry because of the growth of mining work intensity and changeover to the mining operations in deeper levels. The article presents a short
Pomishin, E. +1 more
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Use of Rock Mass Rating (RMR) values for support designs of tunnels excavated in soft rocks without squeezing problem [PDF]
, 2019 Effect of the rock material strength on the RMR value and tunnel support designs were investigated within this study including site works, analytical and numerical analyses.
Demir, Serhat, Komurlu, Eren
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Advances in Civil Engineering, 2020 The rockburst simulation experiments of granite samples with a circular hole under biaxial loading were conducted, and the samples were scanned by computed tomography (CT) at the end of experiment.
Peng Liang +4 more
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Extension of Gutenberg-Richter Distribution to Mw -1.3, No Lower Limit in Sight [PDF]
, 2009 With twelve years of seismic data from TauTona Gold Mine, South Africa, we show that mining-induced earthquakes follow the Gutenberg-Richter relation with no scale break down to the completeness level of the catalog, at moment magnitude MW −1.3.
Boettcher, Margaret S +2 more
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Optimization of Rockburst Risk Control Measures for Deeply Buried TBM Tunnels: A Case Study
Buildings, 2023 Choosing reasonable control measures for different intensity rockburst risks not only effectively prevents and mitigates rockburst risks but also reduces time and engineering investment costs.
Pengxiang Li +5 more
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Application research of DHNN model in prediction of classification of rockburst intensity
Gong-kuang zidonghua, 2018 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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A Decision Tree for Rockburst Conditions Prediction
Applied Sciences, 2023 This paper presents an alternative approach to predict rockburst using Machine Learning (ML) algorithms. The study used the Decision Tree (DT) algorithm and implemented two approaches: (1) using DT model for each rock type (DT-RT), and (2) developing a single DT model (Unique-DT) for all rock types.
Dominic Owusu-Ansah +4 more
openaire +3 more sources
Digital rock mechanics solutions for underground engineering problems such as coal mining
Meitan kexue jishuThe observability of underground engineering, such as coal mining, is extremely limited, which makes it difficult to obtain reliable pre-analysis basis for many complex engineering problems. Especially in face of new engineering environment brought about
Haitao LI +12 more
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Human-triggered earthquakes and their impacts on human security [PDF]
, 2010 A comprehensive understanding of earthquake risks in urbanized regions requires an accurate assessment of both urban vulnerabilities and earthquake hazards.
Christian Klose, Christian Klose
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Mechanism of Vibration Energy Action on Dynamic Instability of Shock-Type Rockburst Carrier System
Shock and Vibration, 2020 In coal mining, the rockburst intensity triggered by the mine earthquake is often greater in the mining area, and the precursor information is more difficult to capture.
Lyu Pengfei, Cui Xuekai
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