岩体变形的替代数据混沌判定方法研究

 观测位移时间序列是岩体变形和破坏过程的综合体现，已广泛用于边坡、隧道和地下硐室等岩石工程的稳定性判断及其预测。根据岩体的观测位移时间序列，通过Fourier变换来生成替代数据，提出其混沌随机性的检验方法，可避免根据最大Lyapunov指数是否为负数以及关联维数是否为非整数来进行混沌判断所引起的不足；分别对玲珑矿巷道及枣林滑坡位移序列进行非线性混沌判定，获得理想的检验结果。

STUDY OF SURROGATE DATA METHOD FOR CHAOS IDENTIFICATION OF ROCK MASS DEFORMATION

Measured displacement time series is a combination of rock mass deformation and failure,and it has been used widely in stability analysis and predict of these rock engineering,such as slope,tunnel and underground opening etc.. Based on the measured displacement time series of rock mass,a random checking method is put forward using the substitute data produced by Fourier transformation. By this way,the limitations caused by judging whether the largest Lyapunov exponent is a negative and whether correlation dimension is an integer for chaos identification can be avoided. The application of the method of nonlinear chaos identification to the measured displacement time series of the roadway of Linglong mine and Zaolin landslide has acquired ideal results.