Application of Fuzzy Information Optimization Technology on Analysis of Loess Landslide Stability
Shu Jun Peng, Yan Ma, Jia Ding Wang, Wan Li Xie · Applied Mechanics and Materials · 2013
The fuzzy information optimization method is applied to the loess landslide stability analysis. Based on the laboratory tests and field investigation, considering the influence of the five main factors such as cohesive force, internal friction angle, the landslide slope landslide, height and earthquake ground motion parameters of the loess landslide, the fuzzy information optimization method like information distribution, information focus and other methods were used to evaluate the stability of loess landslide. The results show that the result of assessment was in accord with the actual condition. The evaluation method is applicable to the loess region. Compared to the limit equilibrium method, it improves engineering economic benefits.