基于模糊聚类理论的公路边坡稳定性分区研究

Study on Highway Slope Stability Zoning Based on Fuzzy Clustering Theory

根据地形地貌、地质环境、水文气象特征等公路边坡稳定性影响因素将湖南省公路边坡大致分成9个区域,并利用模糊聚类分析方法对这9个区域的公路边坡稳定性进行模糊分类。把模糊聚类理论与模糊模式识别结合起来,建立了公路边坡稳定性模糊聚类迭代评价模型,并用该模型计算出湖南省公路边坡9个区域相对应的公路边坡稳定性状态,从而将湖南省公路边坡进行合理的稳定性区域划分。然后对具有代表性的边坡稳定区域中的公路边坡实例进行模糊综合评价,进一步验证模糊聚类分析方法的有效性与可靠性。研究表明:模糊聚类分析方法应用于公路边坡稳定性分区是可行的,且该方法对公路边坡稳定性评价有一定的可靠性。

According to the slope stability influence factors such as characteristics of landform, environment, hydrology and meteorology characteristics, the highway slopes in Hunan Province are into 9 regions, and the highway slope stability of the 9 areas are fuzzy classified by fuzzy clustering method. Combining the fuzzy clustering theory with the fuzzy pattern recognition, the fuzzy clustering geologic divided analysis iteration evaluation model of highway slope stability is established, the corresponding states of highway slope stability in the 9 areas is calculated by the model, and the rationally zoning for the highway slope stability is performed. Then, the fuzzy comprehensive evaluation of the highway slope in the representative stable region is performed to verify the effectiveness and the reliability of fuzzy clustering analysis method. The research result shows that the fuzzy clustering analysis method is applicable to highway slope stability zoning, it has certain reliability for evaluating highway slope stability.