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Research on Forecast of Slope Stability in Sheng Li Open-pit Coal Mine
Author: ZhangHongChao
Tutor: LiChangCun;ZhangYanBo
School: Hebei University of Technology
Course: Geological Engineering
Keywords: Shengli Open Grey Theory Catastrophe theory Stability Prediction
CLC: TD824.7
Type: Master's thesis
Year: 2009
Downloads: 48
Quote: 0
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Abstract
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Victory surface mine is located in the the 6km of XILINHOT northern suburb . Geographic coordinates : longitude 115 ° 30 '~~ 116 ° 26' north latitude and 43 ° 57 ' to 44 ° 14 '. Put into production in December 1979 and April 2004 , the completion of the preliminary design of the mine . 5 seam has formed 50 ~ 60m high slope of help , slope height will reach 150m 6 coal seam outcrop dump ultimately the abandoned height of 60m . Since 2005 , the non-working to help the Central , North and the northern end of help has been frequent landslides, collapsed . According to the nature of the slope deformation , developmental characteristics , physical forms , the landslide is divided into the landslide two types of loose landslide and along the bedrock contact surface . Natural factors affecting slope stability : geological structure , weak interlayer water ; major predisposing factor in the precipitation and blasting vibration . The main the weak layers lithology mudstone or carbonaceous mudstone , sliding surface slope instability . According to the different types of landslides , the eastern part of non-working to help Central (DH2) for the study area , in the form of a grid-like arrangement of the 14 monitoring points , pull cracks near the trailing edge and the top of the hill and the leading edge of the curved bulge site monitoring points as the focus of monitoring . According to the characteristics of slope deformation , the landslide displacement - time curve can be considered is a quadratic curve and exponential curve combination , construct a new gray prediction model to predict the slope deformation . Forecasting process to improve the prediction accuracy of the model calculations improved background value is calculated using data metabolism . New gray prediction model cusp catastrophe model , gray - mutation model is constructed to predict the stability of the slope instability discriminant .
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CLC: > Industrial Technology > Mining Engineering > Mining > Coal mining > Surface Mining > Slope stability
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