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Article: Meso-structure character of soil-rock mixtures based on digital image
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TitleMeso-structure character of soil-rock mixtures based on digital image
 
AuthorsXu, W2
Hu, R2
Yue, Z1
 
KeywordsDigital Image Processing (Dip)
Fraction
Meso-Structure
Shape Factor
Soil-Rock Mixtures (S-Rm)
 
Issue Date2008
 
CitationLiaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban)/Journal Of Liaoning Technical University (Natural Science Edition), 2008, v. 27 n. 1, p. 51-53 [How to Cite?]
 
AbstractFor studying the meso-structure character of soil-rock mixture, the digital image processing is used in this paper. So the abundant information of the each soil-rock mixture sample's photograph was gained and the "conception model" of each sample was also built. Based on the information, the granularity characters, the fraction of the roughness of the rock blocks' surface, the directional dimension of rock blocks and the configuration characters were analyzed. The results indicate that confusion is only the external performance of the soil-rock mixtures. In fact, soil-rock mixtures have a good character of self-comparability in statistics.
 
ISSN1008-0562
2013 SCImago Journal Rankings: 0.233
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorXu, W
 
dc.contributor.authorHu, R
 
dc.contributor.authorYue, Z
 
dc.date.accessioned2012-06-26T06:04:51Z
 
dc.date.available2012-06-26T06:04:51Z
 
dc.date.issued2008
 
dc.description.abstractFor studying the meso-structure character of soil-rock mixture, the digital image processing is used in this paper. So the abundant information of the each soil-rock mixture sample's photograph was gained and the "conception model" of each sample was also built. Based on the information, the granularity characters, the fraction of the roughness of the rock blocks' surface, the directional dimension of rock blocks and the configuration characters were analyzed. The results indicate that confusion is only the external performance of the soil-rock mixtures. In fact, soil-rock mixtures have a good character of self-comparability in statistics.
 
dc.description.naturelink_to_subscribed_fulltext
 
dc.identifier.citationLiaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban)/Journal Of Liaoning Technical University (Natural Science Edition), 2008, v. 27 n. 1, p. 51-53 [How to Cite?]
 
dc.identifier.epage53
 
dc.identifier.hkuros165877
 
dc.identifier.issn1008-0562
2013 SCImago Journal Rankings: 0.233
 
dc.identifier.issue1
 
dc.identifier.scopuseid_2-s2.0-42549142572
 
dc.identifier.spage51
 
dc.identifier.urihttp://hdl.handle.net/10722/150449
 
dc.identifier.volume27
 
dc.languageeng
 
dc.relation.ispartofLiaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban)/Journal of Liaoning Technical University (Natural Science Edition)
 
dc.relation.referencesReferences in Scopus
 
dc.subjectDigital Image Processing (Dip)
 
dc.subjectFraction
 
dc.subjectMeso-Structure
 
dc.subjectShape Factor
 
dc.subjectSoil-Rock Mixtures (S-Rm)
 
dc.titleMeso-structure character of soil-rock mixtures based on digital image
 
dc.typeArticle
 
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Author Affiliations
  1. The University of Hong Kong
  2. Chinese Academy of Sciences