文献类型：期刊文献

中文题名：黄土微结构的谱系聚类分析

英文题名：Pedigree clustering analysis of the microstructure of loess

作者：王杏杏[1];潘林[2];高凌霞[3];夏锦红[2];李顺群[1]

第一作者：王杏杏

机构：[1]天津城建大学土木工程学院;[2]新乡学院土木工程与建筑学院;[3]大连民族大学土木建筑工程学院

第一机构：天津城建大学土木工程学院,天津300384

年份：2016

卷号：33

期号：4

起止页码：394-400

中文期刊名：深圳大学学报：理工版

收录：CSTPCD;;Scopus;北大核心:【北大核心2014】；CSCD:【CSCD_E2015_2016】；

基金：国家自然科学基金资助项目(51178290;41472253);中央高校基本科研业务费专项资金资助项目(201502040402)~~

语种：中文

中文关键词：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

外文关键词：geotechnical engineering ; pedigree clustering analysis ; inter-class distance ; loess ; microstructure ;collapsible ; geometric properties

摘要：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 microstrueture 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 region.