长江科学院院报2019，Vol.36Issue(1)：111-116,6.DOI:10.11988/ckyyb.20170669
基于FAHP和K-Means聚类的边坡稳定性模型
Slope Stability Model Based on Fuzzy Analytic Hierarchy Process and K-means Clustering Method
张向东 1白仁钰 1黄建国2
作者信息
- 1. 辽宁工程技术大学 土木工程学院,辽宁 阜新 123000
- 2. 中交隧道局第二工程有限公司,西安 710000
- 折叠
摘要
Abstract
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 clus-tering 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 sta-bility 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.关键词
边坡稳定性/ FAHP法/安全系数/K-Means聚类原理/归一化函数Key words
slope stability/FAHP method/safety factor/K-means cluster/normalized function分类
建筑与水利引用本文复制引用
张向东,白仁钰,黄建国..基于FAHP和K-Means聚类的边坡稳定性模型[J].长江科学院院报,2019,36(1):111-116,6.
