2020
DOI: 10.3390/en13071729
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A Modified Bursting Energy Index for Evaluating Coal Burst Proneness and Its Application in Ordos Coalfield, China

Abstract: Coal burst is a type of dynamic geological hazard in coal mine. In this study, a modified bursting energy index, which is defined as the ratio of elastic strain energy at the peak strength to the released strain energy density at the post-peak stage, was proposed to evaluate the coal burst proneness. The calculation method for this index was also introduced. Two coal mines (PJ and TJH coal mines) located in Ordos coalfield were used to verify the validity of the proposed method. The tests results indicate that… Show more

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Cited by 12 publications
(4 citation statements)
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“…Unload the weights when loading reaches 240 kg and the unloading path is consistent with the loading process. 3 Repeat step 2 three times so that each sensing unit has three loading and unloading cycles. 4 Repeat steps 1 -3 until all sensing units are calibrated.…”
Section: Calibration Testmentioning
confidence: 99%
“…Unload the weights when loading reaches 240 kg and the unloading path is consistent with the loading process. 3 Repeat step 2 three times so that each sensing unit has three loading and unloading cycles. 4 Repeat steps 1 -3 until all sensing units are calibrated.…”
Section: Calibration Testmentioning
confidence: 99%
“…Cai et al 16 defined the seismic energy generated during strain energy transfer and proposed the bump strain energy index, calibrated by numerical simulation and applied to coal seam bump prediction. Liu et al 17 proposed the blast energy indicator, defined as the density ratio of the elastic strain energy at peak strength to the strain energy released after the peak. Luo and Gong et al 18 introduced the bending energy storage and bending energy dissipation coefficients.…”
Section: Introductionmentioning
confidence: 99%
“…Microseismic monitoring is a technology used to monitor the subsurface fracturing of rocks due to human activities [1][2][3][4]. This is the first step in recognizing microseismic event signals for microseismic monitoring.…”
Section: Introductionmentioning
confidence: 99%