%0 Journal Article
%A ZHANG Xiang-dong
%A BAI Ren-yu
%A HUANG Jian-guo
%T Slope Stability Model Based on Fuzzy Analytic Hierarchy Process and K-means Clustering Method
%D 2019
%R 10.11988/ckyyb.20170669
%J Journal of Yangtze River Scientific Research Institute
%P 111-116
%V 36
%N 1
%X In practical engineering, the safety factor of slope could not describe the slope state precisely. In view of this, a slope stability model is established based on FAHP (Fuzzy Analytic Hierarchy Process) and K-means clustering which integrates qualitative and quantitative analyses. The key factors of slope samples are evaluated and clustered, and the vectors of connection numbers are constructed. According to the key slope factors, the slope stability model based on FAHP and K-Means clustering is used to predict the unknown slope samples. The model is applied to analyze the Nanchang-Ganzhou high-speed railway project and the results are in line with actual situation. The proposed slope stability model based on FAHP and K-means clustering could offer reference for the design, construction, and monitoring of slopes as it reveals the nonlinear relationship between some key factors (height, slope angle, and pore water pressure) and slope stability.
%U http://ckyyb.crsri.cn/EN/10.11988/ckyyb.20170669