Results 61 to 70 of about 1,540,028 (185)
Deep Underground Science and Engineering, Volume 5, Issue 2, Page 465-481, June 2026.The rock failure mode is significantly influenced by the contributing factors, such as the joint inclination, the initial confining pressure, and the unloading point. We found six typical rock failure modes after a large number of numerical tests. Abstract Excavation unloading damages rock masses, with preferential failure along geological defects in ...
Fei Liu +4 more
wiley +1 more source
Knowledge-based and data-driven fuzzy modeling for rockburst prediction
, 2013 Since rockburst is a violent expulsion of rock in high geostress condition, this causes considerable damages to underground structures, equipments and most importantly presents serious menaces to workers' safety.
Adoko, Amoussou Coffi +3 more
core +1 more source
Study on the fractal characteristics of rock in the prediction of rockburst
RSC Advances, 2017 Rockburst proneness was greater when the change of correlation dimensions exceeded 40%.
Li Mo-xiao, Song Ying-hua, Zhang Guang
openaire +2 more sources
Deep Underground Science and Engineering, Volume 5, Issue 2, Page 506-538, June 2026.The Great Dyke of Zimbabwe is notable for its rich platinum group metal deposits but poses significant geological and geotechnical challenges due to its complex rock types and structural features. Traditional pillar design methods are insufficient for addressing these complexities; the study suggests incorporating advanced techniques such as machine ...
Tawanda Zvarivadza +3 more
wiley +1 more source
, 2021 Rockburst prediction is of vital significance to the design and construction of underground hard rock mines. A rockburst database consisting of 102 case histories, i.e., 1998-2011 period data from 14 hard rock mines was examined for rockburst prediction ...
Mitri, Hani S. +5 more
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Deep Underground Science and Engineering, Volume 5, Issue 2, Page 331-349, June 2026.A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan +6 more
wiley +1 more source
Rockburst prediction in kimberlite using decision tree with incomplete data [PDF]
, 2018 A rockburst is a common engineering geological hazard. In order to predict rockburst potential in kimberlite at an underground diamond mine, a decision tree method was employed.
Derek B. Apel +5 more
core +1 more source
Predicting Model of Rockburst Based on Nondeterministic Theory [PDF]
, 2017 Predicting is the basis of prevention and controlling of rockburst hazards. Duo to the characteristic of sudden, disruptive, and complex, the accurate prediction of rockbursts is difficult and an urgent problem need to be solved. Rockburst tendency is an important metric to quantify the risk and potential intensity of occurrences and grade the hazard ...
openaire +1 more source
Distriformer: Research on a Distributed Training Rockburst Prediction Method
The precise forecasting of rockburst is fundamental for safeguarding human lives and property, upholding national energy security, and protecting social welfare.
Yu Zhang, Kongyi Fang, Zhengjia Guo
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Decision Tree Model for Rockburst Prediction Based on Microseismic Monitoring
, 2021 Rockburst is an extremely complex dynamic instability phenomenon for rock underground excavation. It is difficult to predict and evaluate the rank level of rockburst in practice.
Changxing Zhu, Bingrui Chen, Hongbo Zhao
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