Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Particle shape determination by two-dimensional image analysis in geotechnical engineering
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0002-6451-7506
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.
2012 (English)In: Proceedings of Nordic Conference on Soil Mechanics and Geotechnical NGM, Copenhagen: Danish Geotechnical Society , 2012, 207-218 p.Conference paper, Published paper (Refereed)
Abstract [en]

Particle shape of soil aggregates is known to influence several engineering properties; such as the internal friction angle, the permeability etc. Previously shape classification of aggregates has mainly been performed by ocular inspection and e.g. by sequential sieving. In geotechnical analysis has been a lack of an objective and rational methodology to classify shape properties by quantitative measures.Recent development in image analysis processing has opened up for classification of particles by shape. In this study 2D-image analysis has been adapted to classify particle shape for coarse grained materials. This study covers a review of soil classification methods for particle shape and geometrical shape descriptors. The image analysis methodology is tested and it is investigated how the results are affected by resolution, magnification level and type of shape describing quantity. Evaluation is carried out on as well idealized geometries as on soil samples. The interpreted results show that image analysis is a promising methodology for particle shape classification. But since the results are affected by the image acquisition procedure, the image processing, and the choice of quantity, there is a need to establish a methodology to ensure the objectivity in the particle shape classification.

Place, publisher, year, edition, pages
Copenhagen: Danish Geotechnical Society , 2012. 207-218 p.
Series
DGF Bulletin, ISSN 0904-7697 ; 27
National Category
Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-35059Local ID: 970ed8ce-b38b-43dc-a64c-ade40e496b0cISBN: 978-87-89833-27-9 (print)OAI: oai:DiVA.org:ltu-35059DiVA: diva2:1008311
Conference
Nordic Geotechnical Meeting : 09/05/2012 - 12/05/2012
Note
Validerad; 2012; 20120516 (juarod)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

Open Access in DiVA

fulltext(684 kB)54 downloads
File information
File name FULLTEXT01.pdfFile size 684 kBChecksum SHA-512
4ec9d96f307f028f6f831c91f9fae97a21667847379decce324f196e89fc80ff481fd0af8a10a419e9deb0d3dcde8c1eccff2f6d108cc94ac3e22e90ca6d3a3e
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Rodriguez, JuanJohansson, JensEdeskär, Tommy
By organisation
Mining and Geotechnical Engineering
Geotechnical Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 54 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 166 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf