黄土微结构的谱系聚类分析
王杏杏1,潘 林2,高凌霞3,夏锦红2,李顺群1

1)天津城建大学土木工程学院, 天津 300384; 2)新乡学院土木工程与建筑学院, 河南新乡 453003; 3)大连民族大学土木建筑工程学院, 辽宁大连 116600

岩土工程; 谱系聚类分析; 类间距离; 黄土; 微结构; 湿陷; 几何属性

Pedigree clustering analysis of the microstructure of loess
Wang Xingxing1, Pan Lin2, Gao Lingxia3, Xia Jinhong2, and Li Shunqun1

Wang Xingxing1, Pan Lin2, Gao Lingxia3, Xia Jinhong2, and Li Shunqun11)School of Civil Engineering, Tianjin Chengjian University, Tianjin 300384, P.R.China2)School of Civil Engineering and Architecture, Xinxiang University, Xinxiang 453003, Henan Province, P.R.China3)School of Civil and Architecture Engineering, Dalian Nationalities University, Dalian 116600, Liaoning Province, P.R.China

geotechnical engineering; pedigree clustering analysis; inter-class distance; loess; microstructure; collapsible; geometric properties

DOI: 10.3724/SP.J.1249.2016.04394

备注

为表述黄土湿陷前后的微结构特征,引入谱系聚类分析法,对采集的21张黄土扫描电镜图像的微结构参数进行研究.根据聚类原理,定义了最长距离法、最短距离法以及Ward法的类间距离,给出了参数间具体的聚类过程.研究表明,对黄土湿陷前后微结构进行评估时,最长距离法和Ward法具有较好的稳定性和可重复性,最短距离法无法客观评价其特征.采用的谱系聚类法,可以综合评估域内颗粒体几何属性方面的差别.

In order to visually describe the microstructure characteristics of loess wet depression, the microstructure parameters of the twenty-one SEM images of loess were studied by clustering analysis method. According to the clustering principle, the three types of inter-class distance in the longest distance method, the shortest distance method and the Ward method were defined respectively, and the specific clustering process was given. The research shows that, when the microstructure characteristics of loess wet depression were evaluated, the longest distance method and the Ward method have good stability and repeatability, but the shortest distance method cannot objectively evaluate its characteristics. The pedigree clustering method can be used to evaluate the difference of the geometrical properties of the particles in the region.