Rockburst prediction based on submicron particle emission in rocks under deformation and failure

Trubetskoy, K. N.; Viktorov, S. D.; Osokin, A. A.; Shlyapin, A.V.

doi:10.17580/gzh.2017.06.03

Cited by 3 publications

(2 citation statements)

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“…In 2017, W. H. Zhu et al performed a large-scale rock burst model test under different stress gradients by using a self-developed gas-liquid composite rock burst model test device [14]. A new method for recording the stress state changes of submicron particles formed on the surface of the specimen under uniaxial compression is proposed by K. N. Trubetskoy et al [10] A. Manouchehrian and M. Cai analyzed the rockburst of tunnels under static and dynamic loads [1]. B. G. He and R. Zelig studied rockburst in discontinuous rock masses using theoretical and numerical methods [5].…”

Section: Research Statusmentioning

confidence: 99%

Automated Collaborative Analysis System of Rockburst Mechanism based on Big Data

Zhang

2018

IJPE

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In recent years, with the increase of the resource exploitation, mining depth is getting deeper and deeper. Meanwhile, the lives of mining workers have been threatened strongly. In order to reduce the probability of rockburst, researchers have carried out in-depth research on rockburst. He Manchao, the academician of the State Key Laboratory for GeoMechanics and Deep Underground Engineering, has initially simulated the occurrence of rockburst in the laboratory as well as studied the mechanism of rockburst. Because the amount of data accumulated in the experiment is as large as 1000T, using these valuable experimental data becomes a difficult problem. Therefore, we have introduced big data technology into the field of rockburst. We have designed and realized the automated collaborative analysis system of the rockburst mechanism based on big data. We have used acoustic emission sensors as data collection methods and selected the multi-task online learning algorithm for data processing and analyzing. We have achieved the selection of the inflection point in the process of force changes using Matlab. In addition, the inflection point to be checked in the system can obtain the corresponding part of analysis diagrams. The theoretical analyses and experimental studies show that the automated collaborative analysis system can have an obvious influence on rockburst data processing, which provides a good foundation for the study of the rockburst mechanism.

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Section: Research Statusmentioning

confidence: 99%

Automated Collaborative Analysis System of Rockburst Mechanism based on Big Data

Zhang

2018

IJPE

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“…The generation of electromagnetic radiation from the rock mass has been studied and analyzed by many researchers in accordance with various mining technical conditions and tasks, such as Pikarenia D.S., Orlinskaia O.V, Vorobyev O.A., Salnikov V.N., Bespalko A.A., Yavorovych L.V., Salomatyn V.N., Trubetsky K.N., Viktorov S.D., Osokin A.A., Shlyapin A.V., Eremenko A.A., Shtyrts V.A., Zang A. etc. [1][2][3][4][5][6][7][8][9][10][11][12][13][14] Possibilities of using the NPEMFE method for monitoring the geodynamic activity of the rock massif of deposits of the Kryvyi Rih iron ore basin were considered in the works of Y. L. Ahkozov, V. I. Chepurnyі, S. I. Lіash, O. Hrytsai and other authors [15].…”

Section: Introductionmentioning

confidence: 99%

Improvement of the device’s design for increasing the efficiency of geophysical research using the Earth’s natural pulsed electromagnetic field method

Chepurnyi,

Liash,

Hrytsai

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Long-term field studies have shown the high efficiency of the geophysical method of the earth’s natural pulsed electromagnetic field (NPEMFE). It is a modern and experimentally substantiated tool for studying geodynamic processes in the geological environment. Disadvantages of the known device are the low efficiency of recording the intensity level of the NPEMFE, low productivity and high costs of manual labor when performing complex registration. The application of the proposed improvements will make it possible to increase the efficiency of registration of the intensity level of the NPEMFE with an increase in productivity and a decrease in costs and the level of manual labor. The technical result is achieved due to the mobility of the structure and the provision of the possibility of simultaneous registration of the intensity level of the NPEMFE both in the frequency band and in its spatial position.

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Registration of the Emission of Submicron Particles of Rocks to Predict the Destruction of Underground Mine Workings at Rockburst-Hazardous Deposits

et al. 2019

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The results of studies of the conditions for the formation of submicron particles from the surface of the rock formation under the influence of external factors are presented. The deformation and destruction of the mass of rock formations under the conditions of anthropogenic activity under the influence of rock pressure and blasting are characterized by the origin and development of structural defects at various scale levels. A method for recording the emission of submicron particles is proposed to carry out experimental work forstudies of the process of disintegration and the formation of free particles. The results of laboratory studies of the stress-strain state of rock formation samples with a through cylindrical cavity under uniaxial compression, made on the basis of a physical model for the formation of submicron particles from the surface of the samples under study, are presented. The sizes and nature of changes in stress concentration zones and fracture under quasi-static uniaxial loading of specimens are determined. The loading limits have been established to ensure the transfer of rock formation samples to the pre-fracture state. The obtained results are necessary for the development of a fundamentally new method and hardware-technical base for recording dynamic forms of manifestation of rock pressure and prediction of rockbursts in the conduct of underground mining. The results of experimental-industrial tests of the method for determining the stress-strain state of a specific section of a rock formation massif based on the phenomenon of submicron particle emission are presented.

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Rockburst prediction based on submicron particle emission in rocks under deformation and failure

Cited by 3 publications

References 0 publications

Automated Collaborative Analysis System of Rockburst Mechanism based on Big Data

Automated Collaborative Analysis System of Rockburst Mechanism based on Big Data

Improvement of the device’s design for increasing the efficiency of geophysical research using the Earth’s natural pulsed electromagnetic field method

Registration of the Emission of Submicron Particles of Rocks to Predict the Destruction of Underground Mine Workings at Rockburst-Hazardous Deposits

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