<div class="csl-bib-body">
<div class="csl-entry">Ferreira, W. L. G., Vasconcelos, K., Bessa, I. S., & Castelo Branco, V. T. F. (2025). Evaluation RAP cluster dissociation under different breakdown modes. 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. 386–389). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10567</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/218943
-
dc.identifier.uri
https://doi.org/10.34726/10567
-
dc.description.abstract
The presence of RAP clusters (particles that are agglomerated as a single aggregate) is one of the main factors to increase RAP heterogeneity. During hot mixture asphalt (HMA) production, only part of the RAP binder might be activated, and part of the RAP clusters might be dissociated. The objective of this study is to evaluate the RAP cluster dissociation under two different breakdown modes. First, stages of binder extraction were performed to simulate different levels of cluster dissociation. Second, the Micro-Deval (MD) was used to induce cluster dissociation by combining temperature and mixing time. The RAP particles gradation and shape properties were analyzed. The results indicated that there was a significant impact of the partial cluster dissociation on the RAP aggregate characteristics (gradation and shape properties). Besides, the abrasion time was more relevant than the mixing temperature to breakdown RAP clusters.
en
dc.language.iso
en
-
dc.relation.ispartofseries
Advances in Materials and Pavements Performance Prediction
-
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
-
dc.subject
RAP
en
dc.subject
Micro-Deval
en
dc.subject
temperature
en
dc.subject
aggregates' shape properties
en
dc.subject
binder activation
en
dc.title
Evaluation RAP cluster dissociation under different breakdown modes
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
10.34726/10567
-
dc.contributor.affiliation
Universidade Federal Rural do Semi-Árido, Brazil
-
dc.contributor.affiliation
Universidade de São Paulo, Brazil
-
dc.contributor.affiliation
Universidade Federal do Ceará, Brazil
-
dc.contributor.affiliation
Universidade Federal do Ceará, Brazil
-
dc.relation.isbn
978-3-901912-99-3
-
dc.relation.doi
10.34726/9259
-
dc.description.startpage
386
-
dc.description.endpage
389
-
dc.rights.holder
TU Wien, E230-03 Road-Engineering
-
dc.type.category
Full-Paper Contribution
-
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
-
tuw.container.volume
IV
-
tuw.peerreviewed
true
-
tuw.book.ispartofseries
Advances in Materials and Pavements Performance Prediction
-
tuw.relation.publisher
TU Wien, E230-03 Road Engineering
-
tuw.relation.publisherplace
Wien
-
tuw.researchTopic.id
C6
-
tuw.researchTopic.id
M8
-
tuw.researchTopic.id
C3
-
tuw.researchTopic.name
Modeling and Simulation
-
tuw.researchTopic.name
Structure-Property Relationsship
-
tuw.researchTopic.name
Computational System Design
-
tuw.researchTopic.value
35
-
tuw.researchTopic.value
30
-
tuw.researchTopic.value
35
-
tuw.publication.orgunit
E000 - Technische Universität Wien
-
dc.identifier.libraryid
AC17636699
-
dc.description.numberOfPages
4
-
tuw.author.orcid
0000-0001-6404-2013
-
tuw.author.orcid
0000-0003-4305-4829
-
tuw.author.orcid
0000-0002-4711-0552
-
tuw.author.orcid
0000-0002-1459-1740
-
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
-
tuw.event.name
Advances in Materials and Pavement Performance Prediction 2025 (AM3P 2025)