Landslide, slip prediction method based on automatic cell machine

Abstract

A predicting method of landslide based on cellular automaton includes selecting landslide to be predicted and applying normal presentation of cellular automaton, dividing cell space corresponding to landslide to be predicted to be MXN lattice, using each lattice to represent one cell, selecting one cell to judge its neighbor state, comparing energy current value of each neighbor cell with their energy limit valve if neighbor condition is satisfied, making comparison cyclically and representing that landslide is stable structure when cells with state value of zero can be connected to be a though line within two parallel borders.

Description

technical field [0001] The invention relates to a landslide slip prediction method based on an automatic cell machine. Background technique [0002] my country is a mountainous country, and landslide disasters are widely distributed, occur frequently, and cause serious damage. In recent years, with economic development, changes in land use patterns and the expansion of the breadth and intensity of engineering economic activities, coupled with the implementation of my country's "Western Development" strategy, the construction of the Three Gorges Project and other human engineering activities, the intensity and frequency of landslides is increasing year by year. [0003] At present, the slip prediction of landslides is mainly carried out in the aspects of time, space and strength based on stability analysis, mainly including limit equilibrium method, slip field method, limit analysis method and in recent years with the development of computer technology. Numerical analysis me...

AI Technical Summary

Problems solved by technology

[0003] At present, the slip prediction of landslides is mainly carried out in the aspects of time, space and strength based on stability analysis, mainly including limit equilibrium method, slip field method, limit analysis method and in recent years with the development of computer technology. Numerical analysis methods, especially finite element analysis methods, have been popularized and applied in geotechnical engineering; in terms of forecasting, there are methods such as Saito Ditaka's method that use mathematical and physical methods to conduct precise analysis and rigorous reasoning to obtain clear judgments. Deterministic models and non-deterministic models whose relationship cannot be expressed by functions such as gray forecasting, growth curve forecasting, and linear regression; however, the above methods can only predict the distribution of landslide spatial entities at a certain moment and the relationship between them. relationship, which does not take into account the spatiotemporal variation of the landslide entity, is stationary and inherently atemporal

Therefore, traditional prediction methods are difficult to solve problems such as when and where the landslide may be unstable, the type and rate of deformation and instability, and the instability cycle.

Images