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Gold Science and Technology ›› 2018, Vol. 26 ›› Issue (2): 179-186.doi: 10.11872/j.issn.1005-2518.2018.02.179

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Analysis of Sensitivity Factors of Open-pit Mine Slope Stability and Impact Based on FlAC3D

YANG Mingcai,SHENG Jianlong,YE Zuyang,DONG Shu   

  1. School of Resource and Environmental Engineering,Wuhan University of Science and Technology,Wuhan 430081,Hubei,China
  • Received:2017-05-24 Revised:2017-11-24 Online:2018-04-30 Published:2018-05-19

Abstract:

According to the actual situation of open-pit mine slope,3D numerical simulation analysis of open-pit slope is carried out by using FLAC3D numerical simulation software,and the safety factor of slope stability is calculated by finite element strength reduction method.In order to study the influence of various factors on slope stability,six typical slope influence factors(internal friction angle,cohesive force,tensile strength,severe,elastic modulus and Poisson’s ratio) are selected to design orthogonal experiments.The orthogonal experiment scheme is simulated by using FLAC3D numerical software,and the calculation results are analyzed by multi-factor grey correlation analysis method,and compared with single factor analysis.The results showed that according to the criterion of calculating non-converge,the process of solving safety coefficient is simple,the safety coefficient of slope is 1.96 under the condition that the precision is met.The sensitivity of each factor calculated by two analysis methods is basically consistent,that is the internal friction angle has the greatest influence on the stability of slope,followed by cohesion force,and the effect of Poisson’s ratio is minimum.In the process of multi-factor analysis,orthogonal experiment of grey theory coupled analysis considers the interaction between various factors,through calculating the correlation degree of each factor,we get the sensitivity of various factors,and the results are more reliable.

Key words: open-pit mine, slope stability, sensitivity analysis, strength reduction method, orthogonal experi-ment, gray theory, numerical simulation

CLC Number: 

  • TD854

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