Stability Analysis Of Rock Slope Based On Fuzzy Vector Method

Currently the strip mining is one of the important ways of mining of nonferrous metal mines in our country. with open mining scale expanded, mining time extended, the original stable slope instability and failure risk increase, resulting in mine rock easily deformation and landlide, coupled with the impact of external factors in the storm, causing a landslide, collapse subsidence, other geological disasters, serious casualties and economic losses, so the stability of scientific assessment is urgent, mine slope stability evaluation of the basic work is to obtain the correct and reasonable mechanical parameters of rock mass.In order to get the rock slope stability analysis of rock mechanical parameters, this paper is on the basis of fuzzy support vector machine to investigate the acquiring rock slope stability analysis of rock mechanical parameters applicability and superiority. The research object of the paper is the method of determining rock rock mechanical parameters and slope stability, the rock mechanical parameters based on fuzzy support vector machine and normative acts are used in numerical simulation method and limit equilibrium method under different conditions of rock slope stability analysi to compare FSVM and normative acts. Fuzzy support vector machine and standard method?s difference and applicability are explored by multiple angles to determine FSVM and normative acts, for example the principle of analysis, the typical slope of Mount copper is used to prove the applicability as a special case. The main conclusion and results are as follows:(1) Through situ sampling and laboratory test, fuzzy support vector machine method and the standard method can obtain the mechanical parameters of rock mass respectively, then the parameters obtained by the two methods are compared. The fuzzy support vector machine method obtain internal friction angle and cohesion of the standard deviation, coefficient of variation is less than the standard method and correlation coefficient is bigger than the standard method. Fuzzy support vector machine method than the standard method is more suitable for the distribution characteristics of the overall sample data from the regression equation, by obtaining shear strength parameters of rock mass of more accurate and reliable.(2) On account of the finite difference software FLAC3 D, rock mass shear parameters that Fuzzy support vector machine method and standard method obtain are used to analyze slope stability with natural and heavy rain conditions. From the maximum principal stress, distribution of plastic zone, north-south direction displacement contours and shear strain increment cloud picture for the typical slope, the risk of standard method of slope deformation and failure area is greater than fuzzy support vector machine method, the slope instability trend is serious is conservative compared with the actual situation, and fuzzy support vector machine method is closer to the actual, its strengthening cost is more economic.(3) Rock shear parameters by fuzzy support vector machine and standard method are used in plane sliding method to analyze slope stability with natural and heavy rain conditions the natural slope by fuzzy support vector machine is stable, stable basically, less stable, unstable under heavy rain, the natural slope by standard method is stable, stable basically, less stable, unstable under heavy rain, the stability factor sloved by fuzzy support vector machine is greater than standard method, standard method is too conservative, resulting in waste of resources.(4) On the distribution of rock parameters characteristic principles, standard method ignore fuzziness, fuzzy support vector machine method take into account the randomness and fuzziness; in similar rock slope deformation analysis, the standard method for solving is relatively big, fuzzy support vector machine method for solving is reliable; on the maximum principal sress distribution and characteristics, the two methods are similar; in rock slope failure mode trends, fuzzy support vector machine method trends to pull type landslide, standard method occur through landslides.