Application Research Of Dynamic Prediction Method Of Slope Deformation Based On Chaos Theor

Recently,many scholars had kept on applying the Fractal Theory and the Chaos Theory into the various researching fields.The Fractal Theory and the Chaos Theory are two effective tools to describe the nonlinear dynamics system and give the dynamics information of the inside of the system.In the field of the slope deformation forecast,this article brings the advantages of the Fractal Theory and the Chaos Theory together,comes up with a dynamic forecast model of slope deformation Preprocessing with Fractal and Forecast with Chaos.This model uses fractal interpolation method to preprocess the monitoring data and the chaotic phase-space reconstruction to spatiotemporal forecasting.(1)Based on the research of the pretreatment method,fractal interpolation method is chosen to be the main method of data pretreatment.After contrasting the effects of three modes of fractal interpolation,the way of using fractal interpolation method is clear.(2)With the research of the phase-space reconstruction methods,C-C method is chosen.With and,reconstructing a phase-space reasonably,the dynamic system is reproduced well.With the research of chaotic forecasts,the forecast method based on the largest Lyapunov is used,small-data method calculate the largest Lyapunov.(3)After researched the application method of this model,the time series must be on the same growing trend and have the chaotic characteristic for getting the results with high accuracy.The model can give the slope deformation a short-term forecast.(4)Most of algorithms of this model are realized by the software MATLAB.The forecast results of a project proved the feasibility and reliability of this method.Some improvements in using this method were given.