Improvement Of Grey Model And Its Application In Prediction Of Locally Loaded Slope Stability

The main research object of the grey system theory is that the system or event is fuzzy,uncertain,or "partially known and partially unknown",and there are many uncertain factors in the slope stability problem,so the slope stability analysis accords with the grey system research category.In this paper,the improved grey model is used to study the stability of the loaded slope.Firstly,the shortcomings of the traditional prediction model and the grey relational analysis model are analyzed.In order to improve the prediction precision of the grey prediction model and reduce the volatility of the data sequence in the grey relational analysis,the corresponding modified model is put forward,and then the improved grey model is used.The prediction model is used to analyze the bearing margin of the rock mass of tunnel anchorage slope,and the improved grey Euclidean correlation analysis model is used to predict the stability of the local loaded slope.The concrete results are as follows:(1)the factors affecting the prediction accuracy of the grey prediction model include the smoothness of the original data sequence,the background value and the initial value.Based on these three factors,the argument of improving the smoothness of the initial sequence by using the logarithmic function transformation method is proposed,and the background value of the model after the logarithmic function change is rededuced.(2)the defects of the traditional grey relational degree model are analyzed.The most obvious defect is that the existing model fails to consider the volatility of the correlation coefficients in the calculation of the correlation degree.Therefore,the effect of the Euclidean fitting degree is proposed to improve the grey German correlation analysis model to reduce the influence of the fluctuation of the relational number.(3)Using the improved grey prediction to predict the rock mass deformation of the tunnel anchor slope of the Dadu River in Luding,the grey prediction model of load(P)and deformation(S)is established,and the more accurate P-S curve is obtained.According to the P-S curve,the bearing margin of the rock mass of the anchor side slope of the Dadu River Tunnel in LuDing is obtained,which is a slope rock mass.The evaluation of local stability provides a basis.(4)The stability of the gravity anchor side slope of Jinsha River Tiger Leaping Gorge bridge is analyzed by the improved grey Euclidean correlation degree model.The model takes into account the fluctuation of the correlation coefficient,and calculates the degree of correlation to judge the stability of the slope more in accordance with the stability of the slope.Situation.In conclusion,the improved grey model is an efficient nonlinear modeling tool for the analysis of the stability of the loaded slope.This method solves the defects of the traditional method and further increases the prediction accuracy of the slope stability.It can provide an intuitive and effective method for the evaluation of the stability of the loaded slope.