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.

关键词： roller compacted concrete autogenous volume deformation measured deformation time series chaos the largest Lyapunov exponent forecast

作者: Song Junwei Fang Kunhe Tu Shengjing Wang Haifeng

作者单位: State Key Laboratory of Water Resource and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China

会议类型: 国际会议

会议名称: 第五届碾压混凝土坝国际研讨会(The Fifth International Symposium on Roller Compacted Concrete(RCC))

会议地点: 贵阳

会议语种:英文

页码: 657-662

在线出版日期: 2007-11-02（万方平台首次上网日期，不代表论文的发表时间）