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—In general, the present China's safety production situation takes a turn for the better continually, but the situation remains harsh; it is considered that one of the important measures for preventing accidents is intensifying safety education, safety training and improving the quality of laborers. In this paper, the famous statistical software—SPSS is(More)
Taking industrial field test at Kelatongke Copper-Nickel Mine in Sinkiang, which uses the back-filling mining method based on environment reconstructed deep-hole introducing caving, as an engineering background, the three-dimensional mesh model of ore body excavation was constructed by using the MIDAS/GTS software, and then the model data were transformed(More)
Accurate three-dimensional geological and numerical computing model were established by the mining engineering software 3DMINE and finite element analysis code MIDAS/GTS, and the excavation process was simulated completely according to the pre-designed mining sequence of panel stope. The results showed that the stability of stope structure with the size(More)
Because of the complex influencing factors, it is very difficulty to resolve the problem of large scale pillar extraction and goaf disposal in underground mine. Fortunately, with the rapid development of computational mechanics, numerical methods and computer technology, the feasibility of numerical simulation has become an important feature of the current(More)
Based on underground continuous mining technologies, it is one of the developing directions of modern underground metal mines to implement induction roof instability caving, which is used to handle mined-out area. And this mechanical instability process is a typical slow-speed time-varying boundary mechanical problem, of which the main characteristic is(More)
Taking the fragment ore section of orebody No. 105 with the high value in Gaofeng mine in Guangxi province for example, three representative kinds of goafs in all scales were selected on the basis of the differences of goaf scale, surrounding rock conditions and situ stress field, and their stability were calculated by the universal distinct element code(More)
—The instability disaster prediction model of tailings dam had been established, based on system analysis of the factors that caused the instability disaster of tailings dam, by selecting 6 prediction index, medium unit weight, cohesion, internal friction angle, slope angle, slope height and pore pressure ratio and combining with using theory of the rough(More)
For better predicting and optimizing the blasting parameters in underground deep-hole mining, 16 groups of deep-hole blasting parameters are collected and collated, combining rough set and artificial neuron network theory, an optimized model for basting parameters in underground mines’ long-hole caving based on rough set and artificial neural(More)