scholarly journals Back-analysis of in-pit dump slope failure and remediation results at Bara Anugrah Sejahtera open pit coal mine, Indonesia

Author(s):  
Lufi Rachmad ◽  
Salam Aryanda ◽  
Muhammad Daroji
2013 ◽  
Vol 807-809 ◽  
pp. 2436-2439
Author(s):  
He Xing Wen ◽  
Yan Xu ◽  
Xiang Tian Meng

This paper research on the failure mode of a coal mine dump slope in Inner Mongolia. Firstly, there are some brief introductions of the surface mine dump slope failure mode and the basic principles of Lagrangian; Secondly, the collected geological data is shown. We established the dump slope model by FLAC3D program and than draw conclusions. This method can provide an useful safety information for the opencast coal mine.


Author(s):  
A.H. Onur ◽  
G. Konak ◽  
H. Köse ◽  
Y. Koca ◽  
H. Yenice ◽  
...  

Author(s):  
A.F. Silva ◽  
J.M.G. Sotomayor ◽  
V.F.N. Torres

Geotechnical monitoring plays an important role in the detection of operational safety issues in the slopes of open pits. Currently, monitoring companies offer several solutions involving robust technologies that boast highly reliable data and the ability to control risky conditions. The monitoring data must be processed and analysed so as to allow the results to be used for several purposes, thereby providing information that can be used to manage operational actions and optimize mining plans or engineering projects. In this work we analysed monitoring data (pore pressure and displacement) and its correlation with the tension and displacement of the mass of an established failure slope calculated using the finite element method. To optimize the back-analysis, a Python language routine was developed using input data (point coordinates, parameter matrix, and critical section) to use software with the rock mass parameters (cohesion, friction angle, Young's modulus, and Poisson's ratio). For the back-analysis, the Mohr-Coulomb criterion was applied with the shear strength reduction technique to obtain the strength reduction factor. The results were consistent with both the measured displacements and the maximum deformation contours, revealing the possible failure mechanism, allowing the strength parameters to be calibrated according to the slope failure conditions, and providing information about the contribution of each variable (parameter) to the slope failure in the study area.


2012 ◽  
Vol 229-231 ◽  
pp. 2716-2720 ◽  
Author(s):  
Yi Yang ◽  
Guo Hua Wang ◽  
Di Liu ◽  
Shi Wen Wang

With the gradual escalation of mining depth, the problems of deformation and destabilization of high and steep slopes became increasingly severe. The long-term repetitive blasting vibration had long-term cumulative damage effect on the slope stability of Xiaolongtan Open-pit Coal Mine, because it adopted blasting as the principal instrument to exploit rocks. Based on the long-term blasting vibration tests in Xiaolongtan Open-pit Coal Mine, this paper analyses the deformation rules of the creeping slope there under the action of long-term blasting seismic fluctuating load. It analyzes and demonstrates the existence of the cumulative effect of blasting vibration. In addition, it puts forwards that the deep will form sliding surfaces, the superficial place will form different sliding bodies and different regions of the slope will appear deformation under the cumulative effect of the long-term blasting vibration, namely, the damage effect and accelerative effect. The acceleration of the transition process from slowdown creeping flow to stable creeping flow will eventually lead to the formation of accelerative creeping flow, thus resulting in the damage of the slope.


2001 ◽  
Vol 38 (4) ◽  
pp. 828-849 ◽  
Author(s):  
Ergün Tuncay ◽  
Resat Ulusay

This paper describes the investigation of a large and progressive slope failure in the south sidewall of the Himmetoglu coal mine in northwest Turkey. A number of slope instabilities leading to interruptions in mining have been experienced at the mine. Geotechnical investigations consisted of structural mapping, observations of instabilities, review of detailed groundwater information, long-term monitoring of slope movement, and back-analysis of the various failure modes. Deterministic and probabilistic approaches based on the limiting-equilibrium method were employed to examine various slope profiles and excavation sequences for achieving better stability conditions. Analysis of the movement monitoring records and geotechnical information indicated that the failure of the south sidewall slope developed by a combination of sliding along the bedding planes in the hanging wall and faults in the mode of multiplanar sliding. The movement history and the results from the back-analysis of the failures revealed that the stability of the slope was highly sensitive to changes in the length of the lower part of the sliding surface, and the shear strength reduced to residual values along the discontinuity surfaces 8-10 m above the coal seam at the time of failure. The results of the analysis both from deterministic and probabilistic approaches suggest that an excavation sequence consisting of a number of stripping stages from the uppermost benches and advancing to the toe of the slope may provide the resistance to stabilize the overall slope. Simple and preliminary economic assessments based on the overburden costs in conjunction with the deterministic and probabilistic approaches are briefly discussed.Key words: back-analysis, deterministic approach, Himmetoglu coalfield, monitoring, multiplanar failure, probabilistic approach, shear strength, slope stability.


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.


Author(s):  
Jiachen Wang ◽  
Wenhui Tan ◽  
Shiwei Feng ◽  
Rudi Zhou

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