Slope plate of sticky soil granular slope instability based on complex network

TL;DR

This paper uses complex network theory and particle simulation to analyze slope instability, identifying early warning indicators and providing a new mathematical approach for studying slope failure mechanisms.

Contribution

It introduces a novel application of complex network analysis to slope stability, linking microscopic force chains with macroscopic failure prediction.

Findings

Average shortest path effectively predicts slope failure.

Complex network metrics reveal the evolution of force chains.

Method aligns well with experimental results.

Abstract

The particle discrete element simulation of the instability and failure process of the granular slope accumulator model when the metal plate continues downward is obtained, and the two-dimensional total velocity vector of soil particle velocity and slope slip during the instability and failure of the slope accumulator are obtained. Macro-response processes such as removing the angle of the crack surface and the average velocity in the y-direction of the slope top of the slope accumulation body. Construct a normal force chain undirected network model of the slope accumulation body particles under natural accumulation, and study the location of its slip surface, and The results are compared with the experimental results. Finally, the complex network method is used to analyze the topological characteristics of the contact force chain network of the particles on the slope top of the slope accumulation body, and the average degree, clustering coefficient and average shortest path are obtained during the slope instability of the slope accumulation body. The evolutionary rule of the method is used to verify its accuracy in combination with the strength reduction method. The research results show that the average shortest path can provide a more effective early warning of the instability and failure of slope deposits. A complex network theory is used to study the macro response of the slope deposits and its force chain. The interrelationship between the macroscopic structure of the network provides a new mathematical analysis method for the study of slope instability.