2016
DOI: 10.1016/j.ijrmms.2016.04.021
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Discriminant models of blasts and seismic events in mine seismology

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Cited by 132 publications
(46 citation statements)
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“…Deep mining faces the problem of high in situ stress, in order to maintain the stability of surrounding rock of roadway and working face, drilling and blasting technology is needed for pressure relief [3,4]. Blasting will lead to the occurrence of large microseismic events, so the energy accumulated in the rock mass can be released [5][6][7].…”
Section: Introductionmentioning
confidence: 99%
“…Deep mining faces the problem of high in situ stress, in order to maintain the stability of surrounding rock of roadway and working face, drilling and blasting technology is needed for pressure relief [3,4]. Blasting will lead to the occurrence of large microseismic events, so the energy accumulated in the rock mass can be released [5][6][7].…”
Section: Introductionmentioning
confidence: 99%
“…Many researchers have made great efforts to theoretically understand the propagation characteristics of such vibrations [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Based on the dimensional analysis of variables related to the blasting phenomenon, they presented that the vibration velocity of the ground, which is a measure of the damage 2 Shock and Vibration of the surface structure, can be represented in an empirical relationship by using the maximum charge per delay and the distance from the explosives as parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Through the introduction and intersection of some new disciplines and theories, some new methods of slope stability analysis, such as reliability analysis based on the probability theory and mathematical statistics [1,2], the comprehensive evaluation method based on the fuzzy/statistical mathematics [3][4][5][6], the gray system evaluation method based on the gray system theory [7][8][9][10][11], and the neural network evaluation method based on the neural network theory [12][13][14][15][16], are gradually formed. These evaluation methods have achieved good application in slope stability analysis and evaluation and promoted the development of slope stability research.…”
Section: Introductionmentioning
confidence: 99%