Results 41 to 50 of about 1,572 (209)

The extreme mobility of debris avalanches: A new model of transport mechanism [PDF]

, 2015
International audienceLarge rockslide-debris avalanches, resulting from flank collapses that shape volcanoes and mountains on Earth and other object of the solar system, are rapid and dangerous gravity-driven granular flows that travel abnormal distances.
Davies T. R. H., Davies T. R. H., Heim A., Hsü K. J., Irme B., Johnson B., Orford J. D., Rasband W. S., Rochet L., Shaller P. J., Turcotte D. L., Watson R. A.   +11 more
core   +2 more sources

Multivariate Early Warning Method for Rockburst Monitoring Based on Microseismic Activity Characteristics

Frontiers in Earth Science, 2022
The monitoring of rockburst is one of the worldwide problems in underground engineering and how to effectively predict and early warn the occurrence of rockburst disasters has become an urgent problem to be solved.
Qun Yu, Danchen Zhao, Yingjie Xia, Shengji Jin, Jian Zheng, Qingkun Meng, Chaoqian Mu, Jingchi Zhao   +7 more
doaj   +1 more source

Application of an Integrated and Self-contained Electromagnetic Acoustic Recorder for Monitoring the Rock Mass Structure and Development of Geodynamic Processes in Ore Mines [PDF]

, 2016
The paper presents a block diagram of the recorder of electromagnetic and acoustic signals. The recorder provides monitoring of electromagnetic and acoustic signals under changing stress-strain state of heterogeneous materials and rocks.
Bespalko (Bespal'ko), Anatoly Alekseevich, Fedotov, Pavel Ivanovich, Pomishin, Evgeny Karlovich, Vedyashkin, Maxim Viktorovich, Yavorovich, Ludmila Vasilievna   +4 more
core   +1 more source

A prediction model on rockburst intensity grade based on variable weight and matter-element extension.

PLoS ONE, 2019
Rockburst is a common dynamic disaster in deep underground engineering. To accurately predict rockburst intensity grade, this study proposes a novel rockburst prediction model based on variable weight and matter-element extension theory.
Jianhong Chen, Yi Chen, Shan Yang, Xudong Zhong, Xu Han   +4 more
doaj   +1 more source

An Attempt to Use Machine Learning Algorithms to Estimate the Rockburst Hazard in Underground Excavations of Hard Coal Mine

Energies, 2021
Rockburst is a dynamic rock mass failure occurring during underground mining under unfavorable stress conditions. The rockburst phenomenon concerns openings in different rocks and is generally correlated with high stress in the rock mass.
Łukasz Wojtecki, Sebastian Iwaszenko, Derek B. Apel, Tomasz Cichy   +3 more
doaj   +1 more source

Proposing a novel comprehensive evaluation model for the coal burst liability in underground coal mines considering uncertainty factors [PDF]

, 2021
Coal burst is a severe hazard that can result in fatalities and damage of facilities in underground coal mines. To address this issue, a robust unascertained combination model is proposed to study the coal burst hazard based on an updated database.
Chen, Chao, Khandelwal, Manoj, Wang, Mingzheng, Zhou, Jian   +3 more
core   +2 more sources

Predictive Modeling of Short-Term Rockburst for the Stability of Subsurface Structures Using Machine Learning Approaches: t-SNE, K-Means Clustering and XGBoost

Mathematics, 2022
Accurate prediction of short-term rockburst has a significant role in improving the safety of workers in mining and geotechnical projects. The rockburst occurrence is nonlinearly correlated with its influencing factors that guarantee imprecise predicting
Barkat Ullah, Muhammad Kamran, Yichao Rui   +2 more
doaj   +1 more source

(Finite) statistical size effects on compressive strength [PDF]

, 2014
The larger structures are, the lower their mechanical strength. Already discussed by Leonardo da Vinci and Edmé Mariotte several centuries ago, size effects on strength remain of crucial importance in modern engineering for the elaboration of safety ...
Amitrano, David, Gimbert, Florent, Girard, Luca, Vandembroucq, Damien, Weiss, Jérôme   +4 more
core   +5 more sources

Evaluation of rockburst energy capacity for the design of rock support systems for different tunnel geometries at El Teniente copper mine [PDF]

, 2022
Rockburst events have been a serious problem for many years in many mines worldwide, and in particular at El Teniente mine in Chile. El Teniente is the largest copper mine in the world, located in the Andes Cordillera where high stress levels are present
Aguilera, L., Dr. Villalobos-Jara, Felipe, Villalobos, S.   +2 more
core   +3 more sources

Intelligent rockburst prediction model with sample category balance using feedforward neural network and Bayesian optimization

Underground Space, 2022
The rockburst prediction becomes more and more challenging due to the development of deep underground projects and constructions. Increasing numbers of intelligent algorithms are used to predict and prevent rockburst.
Diyuan Li, Zida Liu, Peng Xiao, Jian Zhou, Danial Jahed Armaghani   +4 more
doaj   +1 more source