2013
DOI: 10.1016/j.ijrmms.2013.01.015
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Empirical investigation and characterization of surface subsidence related to block cave mining

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Cited by 60 publications
(36 citation statements)
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“…As shown in Table 3, the compressive strength (f c ) of the mixed granite is 55.3 MPa and the elastic modulus (E) is 3.5 GPa. The calculation inputs for the compressive strength and elastic modulus are calculated according to formulas (9) and (10); the values are 68.9 MPa and 11.3 GPa, respectively. Subsequently, the uniaxial compression numerical simulation of the model is carried out, and we observe the peak intensity of the model.…”
Section: Determination Of Mechanical Parameters In Numericalmentioning
confidence: 99%
See 1 more Smart Citation
“…As shown in Table 3, the compressive strength (f c ) of the mixed granite is 55.3 MPa and the elastic modulus (E) is 3.5 GPa. The calculation inputs for the compressive strength and elastic modulus are calculated according to formulas (9) and (10); the values are 68.9 MPa and 11.3 GPa, respectively. Subsequently, the uniaxial compression numerical simulation of the model is carried out, and we observe the peak intensity of the model.…”
Section: Determination Of Mechanical Parameters In Numericalmentioning
confidence: 99%
“…The caving process propagates upwards to the surface; thus significant surface subsidence appears and even large-scale collapse pits are formed [9]. As a result, this poses a serious threat to buildings, haulage roads, rivers, industrial facilities, and farmland [10][11][12]. To control the dangerous situation, it is of great importance to study the mechanism of the rock mass caving and associated surface subsidence.…”
Section: Introductionmentioning
confidence: 99%
“…However, Woo et al (2013), in their study of a comprehensive database of cave mining operations and caving-induced ground deformations, concluded that it is not enough to use empirical data to predict the characteristics and geometry of the caved zone. By using numerical analysis it was shown that in fact the caved zone extents increase with respect to small displacements and that subsidence angles increase with increasing mining depth.…”
Section: Influence Of Mining Depthmentioning
confidence: 99%
“…Wu et al [2], through image algorithms and so on, analyzed the mining landscape changes before and after subsidence with the support of GIS technology. According to the characteristics of mining subsidence, Jung et al studied the comprehensive prediction and calculation methods related to mining subsidence, and so on [3][4][5][6][7][8][9]. In view of the subsidence characteristics of the surface steps caused by the mining of the shallow and extra thick coal seam, Ju and Xu [10] put forward three possible control methods for surface stepped subsidence.…”
Section: Introductionmentioning
confidence: 99%