Reliability analysis of an open pit coal mine slope

Author(s):  
Jiachen Wang ◽  
Wenhui Tan ◽  
Shiwei Feng ◽  
Rudi Zhou
2013 ◽  
Vol 353-356 ◽  
pp. 751-755 ◽  
Author(s):  
Yong Cheng Yan ◽  
Xian Zhang Ling ◽  
Feng Zhang ◽  
Jia Hui Wang

Taking section W400 of Fushun west open-pit coal mine for the research, the interface model of fracture zone and surrounding rock was established. FLAC3D is used to analysis the influence of excavation and backfill of open-fit coal mine to the slope stability and deformation. The numerical results and analysis show that: (1) when the open-pit coal mine slope is excavated to final production line, the safety coefficient is 2.98, with the excavation, the deformation of the Fushun No.1 Refinery Factory area increases. (2) With the increase of backfilling, the slope coefficient increases to 3.32, this will reduce the deformation of the Fushun No.1 Refinery Factory area. Furthermore, the positions of the dangerous slip surface and serious deformation part of factory area should be regards as key areas. These conclusions could provide technical basis for the stability analysis of Fushun west open-pit coal mine.


2013 ◽  
Vol 807-809 ◽  
pp. 2371-2377
Author(s):  
Guang Yi Sun ◽  
Xiao Luo

This paper analysis open-pit coal mine slope stability in the first mining with FLAC3D, reveal the mechanism of slope deformation, through analysis the stress and strain nephogram of model ZK8 of the first mining slope, and calculation safety stability coefficient, finally concluding stope slope of the first mining occur slip as circular form under their own gravity. The safety factor of model ZK8 is more than stope slope safety coefficient 1.20, slope is in steady state, obtained the accurate and reliable analysis results of stability.


2014 ◽  
Vol 687-691 ◽  
pp. 900-905
Author(s):  
Feng Tian ◽  
Xiao Lei Lu

This document explains a system of open pit slope deformation monitoring. After calculating data by software of GPS Solution and the system which bases on the signal of GPS receiver obtain information of every GPS receiver. So it can get GIS information of whole coal mine. If there is any abnormal data, it will report to the police timely, and directly control the running of coal miningmachines through PLC. Compared with the technology before, the system has higher automation integration, higher positioning accuracy, gets more responsive and provides more reliable data. It’s the best choice for long-term spatial structure monitoring and condition assessment.


2011 ◽  
Vol 383-390 ◽  
pp. 7697-7701
Author(s):  
Zhi Qiang Kang ◽  
Ying Chun Wang ◽  
Feng Nan ◽  
Shi Lin Yuan ◽  
Jiu Lin Yang

This article according to the ShengLi Open-pit Coal Mine landslide and the slope project special details, used the FLAC numerical calculus analysis software to conduct the research to the landslide cataclysm mechanism, has carried on the optimized analysis to the reinforcement plan.Has obtained the pre-stressed anchor rope frame beam + high pressure splitting grouting reinforcement plan government landslide most superior processing plan through the numerical calculus, thus active control ShengLi Open-pit Coal Mine slope distortion destruction.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1148
Author(s):  
Hua Zhang ◽  
Pengjie Tao ◽  
Xiaoliang Meng ◽  
Mengbiao Liu ◽  
Xinxia Liu

With the growth in demand for mineral resources and the increase in open-pit mine safety and production accidents, the intelligent monitoring of open-pit mine safety and production is becoming more and more important. In this paper, we elaborate on the idea of combining the technologies of photogrammetry and camera sensor networks to make full use of open-pit mine video camera resources. We propose the Optimum Camera Deployment algorithm for open-pit mine slope monitoring (OCD4M) to meet the requirements of a high overlap of photogrammetry and full coverage of monitoring. The OCD4M algorithm is validated and analyzed with the simulated conditions of quantity, view angle, and focal length of cameras, at different monitoring distances. To demonstrate the availability and effectiveness of the algorithm, we conducted field tests and developed the mine safety monitoring prototype system which can alert people to slope collapse risks. The simulation’s experimental results show that the algorithm can effectively calculate the optimum quantity of cameras and corresponding coordinates with an accuracy of 30 cm at 500 m (for a given camera). Additionally, the field tests show that the algorithm can effectively guide the deployment of mine cameras and carry out 3D inspection tasks.


2012 ◽  
Vol 599 ◽  
pp. 272-277 ◽  
Author(s):  
Zhi Bin Liu ◽  
Xiao Wei Yang

This paper used RBF artificial neural network to evaluate the underground water contaminated by the leachate of waste dump of open pit coal mine of Xinqiu in Fuxin. Firstly, with the advantages of neural network method in dealing with nonlinear problem, the RBF neural network model was built. Then, the normalized standard matrix was taken as training sample and the MATLAB software was used to train the training sample. Finally, the monitoring data were taken as test samples and were inputted in the RBF neural network model to evaluate the groundwater quality of study area. At the same time, the concept of degree of membership was adopted in the result making it more objective and accurate. The result shows that the ground water of this mining is seriously polluted, class of its pollution is Ⅳ-Ⅴ.The method with strong classification function and reliable evaluation results is simple and effective, and can be widely applied in all kinds of water resources comprehensive evaluation.


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