2019
DOI: 10.1007/s00603-019-01861-1
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Quantitative Energy-Based Evaluation of the Intensity of Mining-Induced Seismic Activity in a Fractured Rock Mass

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Cited by 22 publications
(10 citation statements)
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“…Based on a large number of engineering practices, different numerical analysis models (Zhang et al, 2017;Zeng et al, 2022), mechanical theoretical models (Ning et al, 2020;Zhu et al, 2020;Yang et al, 2021;Tan et al, 2022) and monitoring methods (Wang et al, 2016;Mondal et al, 2020) have been successively introduced into the prediction and exploration of the height of water-conducting fracture zones. In addition, some researchers have effectively observed the development of water-conducting fracture zones from the perspective of strain energy (Swift, 2013;Qi et al, 2019;Sainoki et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Based on a large number of engineering practices, different numerical analysis models (Zhang et al, 2017;Zeng et al, 2022), mechanical theoretical models (Ning et al, 2020;Zhu et al, 2020;Yang et al, 2021;Tan et al, 2022) and monitoring methods (Wang et al, 2016;Mondal et al, 2020) have been successively introduced into the prediction and exploration of the height of water-conducting fracture zones. In addition, some researchers have effectively observed the development of water-conducting fracture zones from the perspective of strain energy (Swift, 2013;Qi et al, 2019;Sainoki et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…This is attributed to the methodology adopted such that the isotropic, homogenous mechanical properties are applied to the near‐fault rock mass, thereby being impossible to replicate the complex mechanical behavior and stress state of the rock mass containing densely distributed fractures. Recently, several studies demonstrated, based on a numerical modeling approach with the discrete element method (DEM) that a fracture network in a local shear zone away from active mining areas contributes to the generation of abnormal stress state and intense seismic activity whilst quantifying strain energy accumulated and resultant burst‐prone potential (Sainoki et al., 2019; Sainoki, Tabata, et al., 2017). Such studies provided insight into the influence of densely fractured local region on the heterogeneous characteristic of in‐situ stress state with highly stressed regions, emphasizing the importance of considering a fracture network in simulating pre‐mining stress state and evaluating the risk for severe seismic activity.…”
Section: Introductionmentioning
confidence: 99%
“…For example, at Garson Mine located in Sudbury, Canada, source locations of seismic events with strong ground motions detected in 2012 are predominantly concentrated within a major shear zone obliquely passing across the orebodies (Sainoki & Mitri, 2014c). At the Copper Cliff Mine, Sudbury, Canada, regions with comparatively high cumulative radiated energy correspond to those of geological structures, such as a shear zone and a dyke (Sainoki et al, 2016(Sainoki et al, , 2019. It has been then demonstrated by performing numerical simulations with a discrete element method that a fracture network in such geological structures significantly contributes to the generation of the burst-prone stress condition.…”
mentioning
confidence: 99%
“…e releasable strain energy is the driving force for the failure of coal or rock mass structure, and the crushing energy is related to the damage degree of coal or rock mass structure in the plastic zone [25][26][27]. e effects of water contents and incident energy levels on coal dynamic behavior were studied.…”
Section: Introductionmentioning
confidence: 99%