Classification of Rock Bursts

Shemyakin, E. I.; Kurlenya, M. V.; Кулаков, Г. И.

doi:10.1007/bf02504138

Cited by 19 publications

(4 citation statements)

References 1 publication

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“…In the 1980s, I. Shemyakin and other researchers found zonal disintegration by using resistivity instruments in the work field, and proved that this phenomenon was truly existed [2]. E. J.…”

Section: Introductionmentioning

confidence: 88%

Numerical Simulation of Factors on Zonal Disintegration in Surrounding Rocks of Deep Roadways

Ning

Liu

2012

AMR

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At the background of geological and mining conditions of typical roadways in Xinwen mining area, using numerical simulation software FLAC-3D, the effects of mining depth, weak structure and rock strength on the characteristics of zonal disintegration in Deep Roadway was studied. Results show that high stress is the premise to form the phenomenon of zonal disintegration; weak structure in surrounding rocks is the key and surrounding rock strength is the determinants of damage degree and scope of rupture zone in deep surrounding rocks. There are important theoretical and practical significances to explore the formation mechanism of zonal disintegration in surrounding rocks of deep roadways, and to ensure safe mining of deep resources.

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Section: Introductionmentioning

confidence: 88%

Numerical Simulation of Factors on Zonal Disintegration in Surrounding Rocks of Deep Roadways

Ning

Liu

2012

AMR

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“…Rock bursts have been classified earlier by various characteristics [9]. A classification based on instrumentally recorded source emission characteristics is suggested by us for the first time.…”

Section: Two T~es Of Rock Bursts Identified By ~M~sslon Patternmentioning

confidence: 94%

Determining the direction of fracturing from rock burst recordings

Gorbunova¹,

Kal'met'eva²,

Voinov³

1988

Soviet Mining Science

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Rock burst recordings have been processed with a method developed for studies of the development of a rupcure in the source of a weak earchquake.The fracturing directions thac were determ/ned matched the accepted regional geologic and tectonic interpretations.The source area size and the rupture spread velocities were determined on the basis of azimuthal traveltime curves of Pmax waves. The data were compared with the volumes of ruptures in mines caused by rock bursts.A possible definition of an earthquake source as a. seismic energy emitter including a ruptured area has been suggested.In underground mining, such as in North Ural Bauxite mines, technical factors change the stressed state of rocks in situ quite rapidly. One can observe here, as in a natural laboratory, the processes of stress accumulation and relaxation, evaluate the time intervals between relaxation events (rock bursts), and try to forecast them. Our first objective was to apply a method of seismogram analysis developed for an elongate source of seismic wave emission [i, 2] in a study of the directions of propagation of faults caused by rock bursts, with a view of using it in the future as a tool for identifying burst-hazardous zones.The method allows the investigator not only to determine the direction of a fault propagation, but also to estimate the length of the source region and the duration of source actlvity; we measured chase two quantities as well. In the discussion of our results, mainly the sizes of the sources, we also made use of the findings of surveys of destructive rock bursts. METHODConventional seismologlc studies interpret the focus of a weak earthquake as a point source.Catalogs specify a slngle dynamic source parameter: its energy class. However, theoretical and model studies of sources make it possible now co analyze a seismic emission as a dy-am~c event on the basis of instrumental recordings. The method suggested in this paper is based on the following results.In a theoretlcal study, Kostrov [3] has modeled an earthquake focus by a shear crack. If the micrononu~formlties of the environment are considered, the propagation of a rupture and the slippage of its sides appear as a discrete jumplike process. Close to the beginning of the rupture process, there should be relatively few pulses representing the discrete fracturing events. As the rupture propagates, the number of pulses grows and they become longer because of the growth of the fault area and the length of ice edge; the pulses begin co interfere with each other. This is seen as an increase in the apparent period on the seismogram. Pulses emitted by discrete rupture events associated with Jumplike changes of the slippage velocity can be expected to be of the largest amplitude near the rupture edge [3].Experiments with specimen fracturing also indicate that fracturing is a discrete process which begins with weak displacements, recorded as small-amplltude vibrations in seismograms. The main shear occurs not 4~,~diately but after a C~mm interval r; at chat instant, the b...

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“…The occurrence of rockburst is related to various factors, such as complex geological conditions, cavern layout, and excavation disturbance. Previous studies on rockburst phenomena [17][18][19][20][21][22] have led to a relatively deep understanding of the diversity of rockburst, the mechanism of occurrence, and the relationship between rockburst occurrence and the physical and mechanical properties of surrounding rock. Many effective methods for controlling rockburst have been proposed by summarizing the mechanism and evaluation methods of rockburst.…”

Section: Mechanism and Control Measures Of Rockburstmentioning

confidence: 99%

Numerical Simulation Analysis Method for Rockburst Control in Deeply Buried Caverns

Zhan,

Liu,

Xiao

et al. 2023

Applied Sciences

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Investigating the mechanism and measures of controlling rockburst in deeply buried underground caverns is a prerequisite for ensuring the safety of personnel, reducing the damage to construction equipment caused by the rockburst, and making the project economical and efficient. Efficient analysis methods for evaluating rockburst control in underground caverns are crucial for qualitatively selecting rockburst control methods and quantifying the effectiveness of rockburst measures. Based on the mechanism of energy accumulation in rock mass and the occurrence of rockburst as well as the active methods for controlling rockburst, we propose a mathematical model for simulating borehole stress relief using implicit borehole elements. In this modeling approach, we combine vector superposition in different borehole directions to analyze the effect of borehole stress relief on improving the external environment of the rock mass. Based on the interaction between the anchor support and the surrounding rock as well as the implementation of passive rockburst control measures, we propose a mathematical model that utilizes the implicit anchor column elements to simulate the reinforcement of the surrounding rock with anchors. By combining system anchors into arches and suspending anchors to reinforce the caverns, the overall stiffness of the surrounding rock can be improved and the stress accumulation can be alleviated. The coordinated deformation between the surrounding rock and the anchor provides support to prevent the rockburst. The effects of two rockburst control measures, borehole releasement and anchor reinforcement, are analyzed using both the strength theory and the energy theory. Engineering examples are provided to illustrate that the use of borehole elements to simulate local stress relief can effectively improve the external environment of the rock mass to control the occurrence of rockburst. Additionally, the mechanism of using anchor column elements in combination with the surrounding rock elements to enhance the overall stiffness of the rock mass and prevent rockburst is explored.

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Classification of Rock Bursts

Cited by 19 publications

References 1 publication

Numerical Simulation of Factors on Zonal Disintegration in Surrounding Rocks of Deep Roadways

Numerical Simulation of Factors on Zonal Disintegration in Surrounding Rocks of Deep Roadways

Determining the direction of fracturing from rock burst recordings

Numerical Simulation Analysis Method for Rockburst Control in Deeply Buried Caverns

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