Chaotic Prediction Method of Autogenous Volume Deformation of RCC Added with MgO Based on Lyapunov Exponent

摘要

For the measured deformation time series of concrete engineering, linear and nonlinear chaotic prediction methods are represented for the autogenously volume deformation of concrete on basis of phase space reconstruction. Thus, the chaotic analytic method is set up for the prediction of the measured deformation time series of concrete engineering. At first, the autogenous volume deformation of RCC mixed with MgO are simply presented. Then, for the measured convergent deformation time series of RCC mixed with MgO, the interpolation method is adopted and an equal interval deformation time series is obtained. The results show that the largest Lyapunov exponent is 0. 02 based on phase space reconstruction. Finally, it is separately predicted by the method of equidistance in near neighbor and that' of the largest Lyapunov exponent prediction, and the predicted deformation values are ideal compared with the measured deformation values.