[1]王杏杏,潘林,高凌霞,等.黄土微结构的谱系聚类分析[J].深圳大学学报理工版,2016,33(No.4(331-440)):394-400.[doi:10.3724/SP.J.1249.2016.04394]
 Wang Xingxing,Pan Lin,Gao Lingxia,et al.Pedigree clustering analysis of the microstructure of loess[J].Journal of Shenzhen University Science and Engineering,2016,33(No.4(331-440)):394-400.[doi:10.3724/SP.J.1249.2016.04394]
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黄土微结构的谱系聚类分析()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第33卷
期数:
2016年No.4(331-440)
页码:
394-400
栏目:
土木建筑工程
出版日期:
2016-07-12

文章信息/Info

Title:
Pedigree clustering analysis of the microstructure of loess
文章编号:
201604008
作者:
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
Author(s):
Wang Xingxing1 Pan Lin2 Gao Lingxia3 Xia Jinhong2 and Li Shunqun1
1) School of Civil Engineering, Tianjin Chengjian University, Tianjin 300384, P.R.China
2) School of Civil Engineering and Architecture, Xinxiang University, Xinxiang 453003, Henan Province, P.R.China
3) School of Civil and Architecture Engineering, Dalian Nationalities University, Dalian 116600, Liaoning Province, P.R.China
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
Keywords:
geotechnical engineering pedigree clustering analysis inter-class distance loess microstructure collapsible geometric properties
分类号:
TU 411.92
DOI:
10.3724/SP.J.1249.2016.04394
文献标志码:
A
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.
Abstract:
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.

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备注/Memo

备注/Memo:
Received:2015-12-02;Accepted:2016-05-27
Foundation:National Natural Science Foundation of China (51178290, 41472253); Fundamental Research Funds for the Central Universities (201502040402)
Corresponding author:Professor Li Shunqun. E-mail: lishunqun@yeah.net
Citation:Wang Xingxing, Pan Lin, Gao Lingxia, et al. Pedigree clustering analysis of the microstructure of loess[J]. Journal of Shenzhen University Science and Engineering, 2016, 33(4): 394-400.(in Chinese)
基金项目: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)
作者简介:王杏杏(1992—),女,天津城建大学硕士研究生.研究方向:土的本构关系.E-mail:964479377@qq.com
引文:王杏杏,潘林,高凌霞,等.黄土微结构的谱系聚类分析[J]. 深圳大学学报理工版,2016,33(4):394-400.
更新日期/Last Update: 2016-06-23