Nonlinear Dynamic Model of Rock Mass and Its Application to Stability Analysis

Landslides constitute a critical component of hazard in mountainous regions. With the help of related research results of modern artificial intelligence, the nonlinear dynamic model based on support vector machine is proposed. In order to reflect the displacement evolution rule of rock mass and judge its stability, the nonlinear dynamic model is combined with the nonlinear catastrophe theory. Lyapunov index, as one reliability index of short-term prediction, is calculated by small data volume method involved phase space reconstruction. Then the sufficient and necessary criterion of instability of rock mass system is given, the expression of mutation characteristic value, which expresses the distance between rock mass evolution state and critical state, is provided at the same time. The example shows that the method is high precision and has important practical significance for the monitoring and early warning system of rock mass engineering