Study on the Sprayed Concrete with Iron Tailings

2011 ◽  
Vol 347-353 ◽  
pp. 1939-1943 ◽  
Author(s):  
Wen Yong Liu ◽  
Xiao Liang Xu ◽  
Yong Ye An

This essay is the subject of national eleventh five support schemes: The analysis of key technology on emission reduction and comprehension utilization of solid waste from large iron ore mine (Number:2008BAB32B14). The purpose of this test is to replace natural sand with the same amount of iron tailings and find a new technology method to utilize iron tailings. Based on theory of the preparation of sprayed concrete, this experiment made ratio test with 20%, 40%, 60%, 80% and 100% iron tailings content, and finally achieved the result which met the engineering required, after multiple batches of laboratory tests. By studying mechanical properties of sprayed concrete mixing different proportions of iron tailings, the optimal ratio of iron tailings to replace nature sand have been gotten. The result indicates that with 20% iron tailings to replace nature sand, the performance of sprayed concrete is the best.

2011 ◽  
Vol 21 (6) ◽  
pp. 781-786 ◽  
Author(s):  
Maowei Ji ◽  
Xiaojing Li ◽  
Shunchuan Wu ◽  
Yongtao Gao ◽  
Linlin Ge

2019 ◽  
pp. 20-23
Author(s):  
Serhii TKACHENKO ◽  
Olena POTYSHNIAK ◽  
Yevheniia POLIAKOVA

One of the reasons that at present in research and production associations and industrial enterprises, according to the degree of implementation, analysis is almost the most backward management function, in our opinion, is still insufficient attention on the part of economic services of these production links to issues of formation of analytical information processing. Having overcome, in principle, the psychological barrier of misunderstanding the advantages of using modern computer technology in production management, the economic services of enterprises in a number of cases have not yet realized that they should be both initiators of the functional development of the management system and direct participants in the new technology for the implementation of management functions, including and analysis function. The use of electronic digital machines in economic analysis is one of the indispensable conditions for achieving its efficiency and complexity. The problem of improving the function of economic analysis is becoming the subject of increasing attention, both from a large number of specialists, and from higher education institutions and various research organizations. The increasing attention to the problem of improving integrated economic analysis is evidenced by the fact that it is the subject of consideration at International, All-Ukrainian, Regional scientific and practical conferences, seminars and is significantly reflected in the recommendations of these forums. At the same time, it should be noted that the methodology of the approach, the breadth of coverage in solving the problem, the focus and depth of development in many cases by different authors are far from the same and not equivalent. Therefore, when conducting an analytical review of scientific publications, in our opinion, it is advisable to evaluate existing developments in a certain order, namely: firstly, works that emphasize the importance and need to improve the function of economic analysis without indicating specific ways to solve this problem; secondly, works examining specific forms of organizing economic analysis in management systems. The latter, in particular, include: works in which the dispersal and implementation of individual analysis tasks are proposed as part of various functional subsystems of the control system; works whose authors consider it possible to combine the tasks of economic analysis with the tasks of other management functions in one of the generally accepted subsystems of the management system; works in which the allocation of analysis tasks to an independent functional subsystem of the control system is justified.


2021 ◽  
Vol 4 ◽  
pp. 1-8
Author(s):  
R.A. Adebimpe ◽  
A.O. Fatoye

Knowledge of tailings characteristics is required for utilisation and management purposes in the mining and construction industry. Tailings from the mine waste dumps at Itakpe iron ore mine were collected and analysed in the laboratory to determine their chemical and physical characteristics and these include; permeability, porosity, specific gravity, particle size distribution, chemical composition and bioavailability factor of element. Geochemical speciation with quantitative X-ray powder diffraction was used to evaluate the chemical and mineral composition of Itakpe iron ore tailings. The aim is to offer base line data necessary to assess metal mobility and bioavailability. The distribution of heavy metals such as Cu, Ni, Cd, Cr, Zn and Fe was determined using multi- step sequential extraction. The results obtained indicate that the permeability is 6.24 x 10-3 cm/sec; porosity is 35%; and specific gravity is 3.58. The tailings is well graded and is sand gravel. Nickel and Zinc was found to be considerably high in exchangeable and bound to carbonates fraction which are mobile region and is bound to Fe – Mn oxides which is slightly mobile region but the higher concentration of Ni found in residual fraction. The implication of this result is that Nickel and Zinc partially enter into the food chain. Chromium and Cadmium concentration result indicated that these metals can easily enter into the food chain because of their presence in the mobile region and their higher mobility percentage.


2021 ◽  
Vol 18 (1) ◽  
pp. 32-44
Author(s):  
Abdolhakim Batajrobeh Rudi ◽  
Mohsen Mohammadnia Ahmadi ◽  
Mehdi Mogharnasi ◽  
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...  

Author(s):  
Amirhossein Najafabadipour ◽  
Gholamreza Kamali ◽  
Hossein Nezamabadi-pour

The Forecasting of Groundwater Fluctuations is a useful tool for managing groundwater resources in the mining area. Water resources management requires identifying potential periods for groundwater drainage to prevent groundwater from entering the mine pit and imposing high costs. In this research, Auto-Regressive Integrated Moving Average (ARIMA) and Holt-Winters Exponential Smoothing (HWES) data-driven models were used for short-term modeling of the groundwater fluctuations in a piezometer around the Gohar Zamin Iron Ore Mine. For this purpose, 250 non-seasonal groundwater fluctuations data in the period 22-Nov-2018 to 29-Jul-2019, 200 data for modeling, and 50 data for prediction were used. To take advantage of all the features of the two developed models, the predictions are combined with different methods and specific weights. The results show better accuracy for the ARIMA method between the two short-term forecasts, while the HWES method requires less time for modeling. Also, among all the predictions made, the highest accuracy for the combined least-squares method is for forecasting the groundwater fluctuations in the short-term. All the forecasts show a decrease in the groundwater fluctuations, indicating pumping wells around the Gohar Zamin Iron Ore Mine area.


2008 ◽  
Vol 52 (1) ◽  
pp. S43-S50 ◽  
Author(s):  
Malcolm Ross ◽  
Robert P. Nolan ◽  
Gordon L. Nord

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