Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Moisture Distribution Model to Predict Matric Suction in Unbound Granular Materials as a Function of Fines Content
KTH, School of Architecture and the Built Environment (ABE), Transport Science.
KTH, School of Engineering Sciences (SCI), Solid Mechanics (Dept.), Solid Mechanics (Div.). KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Building Materials.ORCID iD: 0000-0002-0596-228X
KTH, School of Architecture and the Built Environment (ABE), Transport Science.ORCID iD: 0000-0003-0889-6078
2016 (English)In: TRB 95th Annual Meeting Compendium of Papers, 2016Conference paper, Published paper (Refereed)
Abstract [en]

The existence of water in the layers of unbound road aggregates significantly influences the performance of pavement structure. Thus, the ability to estimate volumetric water content and its capillary effect is very important. Several models have been suggested to link the matric suction of unbound materials to their water retention properties. In this paper, an analytical moisture distribution model is proposed by using packing theory-based framework for unbound granular materials. The framework was previously developed by the authors of this paper and identifies two basic components of unbound granular materials skeleton: primary structure (PS) - a range of interactive coarse grain sizes that forms the main load-carrying network in granular materials and secondary structure (SS) - a range of grain sizes smaller than the PS providing stability to the aggregate skeleton. In the new moisture model, water was considered to be stored as both menisci water between SS particles and water that fully filled in very small voids. In order to validate the model, predicted results are compared with measured matric suction of a granite material with different gradations. The results showed that the model is capable of predicting the experimentally measured matric suction values for a range of gradations.

Place, publisher, year, edition, pages
2016.
Keywords [en]
Aggregate gradation; Fines (Materials); Granular materials; Mathematical models; Moisture content; Validation
National Category
Infrastructure Engineering
Research subject
Civil and Architectural Engineering
Identifiers
URN: urn:nbn:se:kth:diva-248687OAI: oai:DiVA.org:kth-248687DiVA, id: diva2:1303480
Conference
Transportation Research Board 95th Annual Meeting, Washington DC, United States
Note

This paper was sponsored by TRB committee AFP60 Standing Committee on Engineering Behavior of Unsaturated Soils.

QC 20190522

Available from: 2019-04-09 Created: 2019-04-09 Last updated: 2019-05-22Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Reference

Authority records BETA

Jelagin, DenisBirgisson, Björn

Search in DiVA

By author/editor
Yideti, TatekJelagin, DenisBirgisson, Björn
By organisation
Transport ScienceSolid Mechanics (Div.)Building Materials
Infrastructure Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 15 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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