The application of fuzzy comprehensive evaluation and Topsis approach to selection of optimum underground mining method

Author(s):  
Zou Guoliang ◽  
Cai Sijing
2011 ◽  
Vol 402 ◽  
pp. 631-635 ◽  
Author(s):  
Hai Wang Ye ◽  
Fang Liu

It is well known that mining method is the core of an underground mine. In order to select mining methods scientifically and reasonably, after summarizing the underground mining methods, an underground mining methods selecting system based on fuzzy theory is established, which includes primary selecting based on fuzzy clustering and final selecting based on multi-objective decision-making and fuzzy comprehensive evaluation. And the application shows that the mining method selected by the system is the same as the method used in practice, which proves that the selecting system is feasible and reliable.


Author(s):  
Shuai Li ◽  
Yulin Zhang ◽  
Ru Feng ◽  
Haoxuan Yu ◽  
Jilong Pan ◽  
...  

As one of the main industrial solid wastes, there are a large number of free alkaloids, chemically bound alkaloids, fluoride, and heavy metal ions in Bayer process red mud (BRM), which are difficult to remove and easily pollute groundwater as a result of open storage. In order to realize the large-scale industrial application of BRM as a backfilling aggregate for underground mining and simultaneously avoid polluting groundwater, the material characteristics of BRM were analyzed through physical, mechanical, and chemical composition tests. The optimum cement–sand ratio and solid mass concentration of the backfilling were obtained based on several mixture proportion tests. According to the results of bleeding, soaking, and toxic leaching experiments, the fuzzy comprehensive evaluation method was used to evaluate the environmental impact of BRM on groundwater. The results show that chemically bound alkaloids that remained in BRM reacted with Ca2+ in PO 42.5 cement, slowed down the solidification speed, and reduced the early strength of red mud-based cemented backfill (RMCB). The hydration products in RMCB, such as AFT and C-S-H gel, had significant encapsulation, solidification, and precipitation inhibition effects on contaminants, which could reduce the contents of inorganic contaminants in soaking water by 26.8% to 93.8% and the leaching of toxic heavy metal ions by 57.1% to 73.3%. As shown by the results of the fuzzy comprehensive evaluation, the degree of pollution of the RMCB in bleeding water belonged to a medium grade Ⅲ, while that in the soaking water belonged to a low grade II. The bleeding water was diluted by 50–100 times to reach grade I after flowing into the water sump and could be totally recycled for drilling and backfilling, thus causing negligible effects on the groundwater environment.


2013 ◽  
Vol 368-370 ◽  
pp. 1361-1365
Author(s):  
Lei Bi ◽  
Bing Yu Ren ◽  
Deng Hua Zhong ◽  
Lian Xing Hu

Traditional project evaluation and optimal selection based on multi-objective programming and Delphi is highly dependent on subjective cognition, difficult to define weighted coefficient and without considering the uncertainty of the indexes. To solve these problems, this paper builds a multi-level fuzzy comprehensive evaluation model for the evaluation and optimal selection of diversion tunnels construction simulation schemes, and unites entropy weight and analytic hierarchy process (AHP) to calculate composite index weights. Through the comprehensive evaluation in a real-life diversion tunnels, this method is proved advanced and intuitive for giving objective evaluations and providing optimization suggestions for program development.


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