Seismological method for prediction of areal rockbursts in deep mine with seismic source mechanism and unstable failure theory

Lizhong, Tang; Xia, Kaiwen

doi:10.1007/s11771-010-0582-5

Cited by 37 publications

(11 citation statements)

References 15 publications

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“…The SSIM index values between the current and the future bursting strain energy maps are between 0.7814 and 0.8462, which once again demonstrates the feasibility of rock burst hazard assessment through the bursting strain energy index. Moreover, the conclusion that the density nephogram of microseismic events Tang and Xia 2010) and the contour map of apparent stress (Tang et al 2011) could be employed to predict rock burst seems to be verified. 4.…”

Section: Resultsmentioning

confidence: 85%

Quantitative analysis of seismic velocity tomography in rock burst hazard assessment

Cai

Gong

et al. 2014

Nat Hazards

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In order to quantitatively evaluate the relationship between the tomographic images of P wave velocity and rock burst hazard, the seismic velocity tomography was used to generate the P wave velocity tomograms during the retreat of a longwall panel in a coal mine. Subsequently, a novel index (bursting strain energy) was proposed to characterize the mining seismic hazard map. Finally, the structural similarity (SSIM) index in the discipline of image quality assessment was introduced to quantitatively assess the relation between the bursting strain energy index images and the tomographic images of P wave velocity. The results show that the bursting strain energy index is appropriate for quantitative analysis and seems to be better for expressing the mining seismic hazard than the conventional map. The SSIM values of the future bursting strain energy compared with the P wave velocity and the current bursting strain energy reach up to 0.8908 and 0.8462, respectively, which illustrate that the P wave velocity and the bursting strain energy both are able to detect the rock burst hazard region. Specifically, seismic velocity tomography is superior to the bursting strain energy index in the detection range and the precision and accuracy of detection results.

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Section: Resultsmentioning

confidence: 85%

Quantitative analysis of seismic velocity tomography in rock burst hazard assessment

Cai

Gong

et al. 2014

Nat Hazards

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“…The time clustering is based on the recording of the seismic events and its association as groups with respect to the time of the underground workings. The spatial clustering is based on the location of the recorded microseismic events within the surrounding rock mass in the mining district (Tang and Xia, 2010). The microseismic system is able to record the different spatial association of the seismic events based on the intensity of vibrations during different time periods.…”

Section: Monitoring the Slope Stability From The Spatial Distributionmentioning

confidence: 99%

Slope stability monitoring by quantification and behavior of microseismic events in an opencast coal mine

Vinoth

Kumar

2015

J Geol Soc India

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The application of a routine high resolution microseismic monitoring system installed in an opencast coal mine for monitoring highwall slope failures is discussed. A PC based microseismic network consisting of geophones, data loggers, GPS synchronization and Ethernet antennas for wireless communication is employed to study the impact of induced seismicity on the slope failures in real time. The study aimed to understand the rock mass response to mining induced seismicity from the behavior of seismic events within rock mass. The level of induced seismicity due to underground excavation is determined from the seismic source parameters such as locations, magnitude, and seismic energy. The status of the slope is assessed by the quantification of the microseismic events. The understanding of spatial and temporal distribution of the seismic events within the mining district correlated well with the existing geological structures and the excavation sequence. The application of microseismic system in the opencast mine has not only yielded confident results, but also marked as an effective tool for continuous monitoring of seismicity on the deep opencast slopes for mitigating the seismic risks and hazard management.

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“…Liu and Wang [17] studied the characteristics of EMR signals induced from fractures of rock samples to predict rock burst. Tang and Xia [18] proposed a seismological method for prediction of areal rock bursts in deep mine based on the seismic source mechanism and unstable failure theory.…”

Section: Introductionmentioning

confidence: 99%

Combined Early Warning Method for Rock Burst and Its Engineering Application

Qin

Chen

et al. 2019

Advances in Civil Engineering

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Rock burst is a common mine disaster often accompanied with casualties and property damage. In order to effectively predict and prevent the rock burst occurrence, an effective and accurate method for predicting rock burst is necessary. This paper first establishes the relationship between the drilling cuttings and the releasable elastic deformation energy. However, the traditional drilling cutting method has the defect that the drilling depth cannot reach the stress concentration area and the drilling cuttings cannot accurately reflect the internal stress variation in the deep part of coal body. So, an improved drill cutting method is presented to make up for these defects. Finally, the combined monitoring method based on the improved drilling cutting method and the microseismic monitoring method is established. It not only overcomes the limitations of a single prediction method but also effectively utilizes the advantages of improved drilling cutting method and the microseismic monitoring method. And this combined monitoring method is applied to the No. 3302 coalface of Xingcun Coal Mine. The obtained results indicate that the combined monitoring method can improve the prediction capabilities of the rock burst and provide novel insights for preventing the rock burst occurrence.

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Seismological method for prediction of areal rockbursts in deep mine with seismic source mechanism and unstable failure theory

Cited by 37 publications

References 15 publications

Quantitative analysis of seismic velocity tomography in rock burst hazard assessment

Quantitative analysis of seismic velocity tomography in rock burst hazard assessment

Slope stability monitoring by quantification and behavior of microseismic events in an opencast coal mine

Combined Early Warning Method for Rock Burst and Its Engineering Application

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