Abstract
A new model is established to analyze mining stope stability, using variable weight theory to calculate the index weight for each factor in different stopes and unascertained measure evaluation technique to predict the risk grade of stope stability. In this model, an evaluation index system by virtue of the 7 most important factors is established, including rock saturated uniaxial compressive strength, rock quality designation, rock joint and fissure, stope span, condition of pillar, groundwater seepage volume, and rate of supporting pit roof. And each index is divided into 5 grades by assignment value and the classification method of standardization. Accordingly, the analysis result is also classified into 5 risk grades. This model is used for the 6 main stopes from the -270 m section in Xin-Qiao Mine, China. The results, giving risk grade for each stope and guiding the use of corresponding measures, avoided the problem of state out of balance caused by conventional invariable weight theory models and have ensured no accident occurred in mining production in recent years. This model can be used in other mines widely, by assigning values for the 7 factors on basis of current in situ cases.
Highlights
During recent decades, underground space stability problems in both mining industry and underground shelter of civil defense projects have drawn enormous attention [1,2,3]; it has been studied by many researchers globally
Underground mining stope stability analysis is the focus of this paper, which can be extended to the applications of tunneling and other underground projects
The main conclusions can be drawn as follows: (1) The evaluation index system is crucial in this work; the 7 most important factors mentioned above are taken into consideration in Xin-Qiao Mine, being suitable for others
Summary
Underground space stability problems in both mining industry and underground shelter of civil defense projects have drawn enormous attention [1,2,3]; it has been studied by many researchers globally. Stope stability is, to a large extent, affected by geological conditions, mining method, ore structure, and many other ambiguous factors. The fatal problems lead to the analysis results far from the reality with estimation value approaching to the borderline state, especially when a factor with low index weight plays an important role This phenomenon affects the treatment measures dramatically and was outstanding in Xin-Qiao Mine. A model combining variable weight theory [12] and unascertained measure evaluation is developed to analyze underground mining stope stability based on previous research. Compared to the invariable weight theory, this model can avoid the out of balance problem effectively according to the application in XinQiao Mine and provides a new approach for stope stability analysis
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
