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Short-term rockburst risk prediction using ensemble learning methods

Natural Hazards, 2020
Short-term rockburst risk prediction plays a crucial role in ensuring the safety of workers. However, it is a challenging task in deep rock engineering as it depends on many factors. More recently, machine learning approaches have started to be used to predict rockbursts.
Weizhang Liang   +4 more
openaire   +1 more source

Predicting rockburst tendency based on fuzzy matter–element model

International Journal of Rock Mechanics and Mining Sciences, 2015
Rockburst is a dynamic phenomenon caused by multiple factors associated with mining excavations and activities. It is very hard to make predictions accurately. In this study, a multi-index model, based on fuzzy matter–element theory, information entropy theory and closeness degree rules, are established to predict rockburst tendency.
Chunlai Wang   +4 more
openaire   +1 more source

Studies for rockburst prediction in the Carrara Marble (Italy)

2010
The exploitation of Carrara Marble dates back to Roman times. Throughout these twenty centuries, quarrying activity was mostly developed in the Carrara district in open pit quarries. In the last decades many quarries have been moved into underground. In some areas the mining stopes are subjected to rock burst. In order to overcome this hazard, detailed
COLI, MASSIMO   +4 more
openaire   +4 more sources

Prediction of rockbursts by analysis of induced seismicity data

International Journal of Rock Mechanics and Mining Sciences, 2001
Abstract This paper describes a technique for predicting the occurrence of strong rockbursts in mines. Both the kinetic theory of solid strength and the “rigid inclusion” model form the basis of this technique. The proposed precursor characteristics of the strong rockburst preparation process, when applied in retrospect to the North Ural Bauxite ...
openaire   +1 more source

Application of KM-SMOTE for rockburst intelligent prediction

Tunnelling and Underground Space Technology, 2023
Qiushi Liu   +6 more
openaire   +1 more source

Prediction of Rockburst Using Supervised Machine Learning

2022
Tharun Balaj Kishore, Manoj Khandelwal
openaire   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

Rockburst prediction

International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1987
openaire   +1 more source

Rockbursts: prediction and control

International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1984
openaire   +1 more source

Rockburst prediction — art or science

International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1987
openaire   +1 more source

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