<div class="csl-bib-body">
<div class="csl-entry">Rahman, M. S., Ahmed, A. W., Erlingsson, S., & Waldemarson, A. (2025). Effect of particle size distributions on the performance of unbound granular materials. In L. Eberhardsteiner, B. Hofko, & R. Blab (Eds.), <i>Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria</i> (pp. 508–511). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10782</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/219291
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dc.identifier.uri
https://doi.org/10.34726/10782
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dc.description.abstract
Particle size distribution (PSD) is a crucial factor influencing the mechanical behavior of unbound granular materials (UGMs). It also governs the drainage properties, as well as moisture and frost susceptibility, of UGMs. Therefore, optimizing the PSD is essential to achieve the desired properties for use in pavement structures. In this study, seven different PSDs of a crushed rock aggregate were evaluated for mechanical per-formance using repeated load triaxial (RLT) tests. Three of the PSDs were designed based on the widely used Fuller-Thompson equation, employing different shape factors. The other three were open-graded, drainable types intended for permeable pavements. The final PSD was generated using an optimization method originally developed for asphalt concrete mixtures. The RLT tests were conducted at the optimal moisture content and at 95% of the maximum dry density for each PSD, determined through the modified Proctor method. The analysis focused on the resilient modulus and resistance to permanent deformation for each PSD. The results demon-strated that the well-graded PSD with grading coefficient, n = 0.45 exhibited the highest resilient modulus and the greatest resistance to permanent deformation. The amount of fines influenced performance significantly: an excess of fines, as well as their removal to create drainable materials, negatively impacted mechanical behavior. Additionally, the maximum particle size also showed some effect. The optimization method applied in this study did not perform well, highlighting the need for further refinement of the approach for implementation in UGMs.
en
dc.language.iso
en
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dc.relation.ispartofseries
Advances in Materials and Pavements Performance Prediction
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dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
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dc.subject
Particle size distrubution
en
dc.subject
unbound granular materials
en
dc.subject
resilient modulus
en
dc.subject
permanent deformation
en
dc.subject
optimization
en
dc.title
Effect of particle size distributions on the performance of unbound granular materials
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.identifier.doi
10.34726/10782
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dc.contributor.affiliation
Swedish National Road and Transport Research Institute, Sweden
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dc.contributor.affiliation
Swedish National Road and Transport Research Institute, Sweden
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dc.contributor.affiliation
University of Iceland, Iceland
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dc.contributor.affiliation
Swedish National Road and Transport Research Institute, Sweden
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dc.relation.isbn
978-3-901912-99-3
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dc.relation.doi
10.34726/9259
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dc.description.startpage
508
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dc.description.endpage
511
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dc.rights.holder
TU Wien, E230-03 Road Engineering
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria
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tuw.container.volume
IV
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tuw.peerreviewed
true
-
tuw.book.ispartofseries
Advances in Materials and Pavements Performance Prediction
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tuw.relation.publisher
TU Wien, E230-03 Road Engineering
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tuw.relation.publisherplace
Wien
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tuw.researchTopic.id
C6
-
tuw.researchTopic.id
M8
-
tuw.researchTopic.id
C3
-
tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.name
Structure-Property Relationsship
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tuw.researchTopic.name
Computational System Design
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tuw.researchTopic.value
35
-
tuw.researchTopic.value
30
-
tuw.researchTopic.value
35
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tuw.publication.orgunit
E000 - Technische Universität Wien
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dc.identifier.libraryid
AC17644055
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dc.description.numberOfPages
4
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tuw.author.orcid
0000-0002-6327-4709
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tuw.author.orcid
0000-0002-4256-3034
-
tuw.author.orcid
0000-0001-7024-9395
-
dc.rights.identifier
CC BY 4.0
en
dc.rights.identifier
CC BY 4.0
de
tuw.editor.orcid
0000-0003-2153-9315
-
tuw.editor.orcid
0000-0002-8329-8687
-
tuw.editor.orcid
0000-0003-4101-1964
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tuw.event.name
Advances in Materials and Pavement Performance Prediction 2025 (AM3P 2025)
en
tuw.event.startdate
07-05-2025
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tuw.event.enddate
09-05-2025
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Wien
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tuw.event.country
AT
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tuw.event.institution
TU Wien/E230-03
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tuw.event.presenter
Rahman, M.S.
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tuw.event.track
Multi Track
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wb.sciencebranch
Bauingenieurwesen
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wb.sciencebranch
Verkehrswesen
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wb.sciencebranch.oefos
2011
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wb.sciencebranch.oefos
2013
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wb.sciencebranch.value
30
-
wb.sciencebranch.value
70
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item.openaccessfulltext
Open Access
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.mimetype
application/pdf
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item.fulltext
with Fulltext
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item.cerifentitytype
Publications
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item.grantfulltext
open
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item.openairetype
conference paper
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item.languageiso639-1
en
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crisitem.author.dept
Swedish National Road and Transport Research Institute, Sweden
-
crisitem.author.dept
Swedish National Road and Transport Research Institute, Sweden
-
crisitem.author.dept
Swedish National Road and Transport Research Institute, Sweden
-
crisitem.author.dept
Swedish National Road and Transport Research Institute, Sweden