基于复杂网络的黏性土颗粒边坡堆积体失稳研究
摘要
The bonded-particle discrete element simulation of the instability and failure process of granular slope piles was conducted under lasting downward loading by metal plates, and the 2D total velocity vectors of soil particles and the slope sliding surface angles during the instability and failure were obtained. Macro-response processes such as the average velocity in the y-direction of the slope pile top were also considered. The normal force chain undirected network model for the granular slope pile under natural accumulation was constructed, and the position of the sliding surface was studied in comparison with experimental results. Finally, the complex network method was used to analyze the topological characteristics of the contact force chain network of the particles on the slope pile top, and the evolutionary rules of the average degree, the clustering coefficient and the average shortest path were obtained during the slope pile instability process, of which the correctness was verified with the strength reduction method. The research results show that, the average shortest path provides a more effective early warning of the instability and failure of slope piles. The complex network theory used to study the relationship between macro responses of the slope pile and its force chain mesoscopic structure, makes a new mathematical method for the study of slope instability.