<div class="csl-bib-body">
<div class="csl-entry">Wu, R., Li, Y., Liu, X., Erkens, S., & Thijssen, A. (2025). Identification on blending zone and qualitative analysis of blending degree in Recycled Asphalt based on ESEM-EDX analysis. 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. 197–200). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10661</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/219054
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dc.identifier.uri
https://doi.org/10.34726/10661
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dc.description.abstract
Recycled Asphalt (RA) offers economic and environmental benefits in pavement construction in Netherlands, but also faces a high potential for premature cracking, especially when it is used in porous asphalt. The RA production process, due to the incorporation of Reclaimed Asphalt Pavement (RAP), exhibits a higher tendency to form heterogeneous blending zones, which are often regarded as weak areas susceptible to cracking. However, preliminary research was not systematically describing blending zones at the microscale. To develop a reliable method for characterizing the blending degree in RA, this research employed the ESEM-EDX microscopic testing method to analyze its internal structure, with a particular focus on the distribution of different components. Based on the varying Ti tracer content in fresh and aged mastic, an identification method was developed and validated for its feasibility in distinguishing four RA components: aggregate, fresh mastic, blended mastic, and aged mastic. By appling this identification method, qualitative analysis of the blending degree revealed that fresh aggregates achieve a more thorough blending state than RAP aggregates. This research advances the understanding of RA's internal structure and blending behavior, providing another characterization choice for quantitative analysis of blending degrees in RA.
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
Recycled Asphalt
en
dc.subject
Microstructure
en
dc.subject
ESEM-EDX
en
dc.subject
Blending Zone
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dc.title
Identification on blending zone and qualitative analysis of blending degree in Recycled Asphalt based on ESEM-EDX analysis
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
10.34726/10661
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dc.contributor.affiliation
Delft University of Technology, Netherlands (the)
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dc.contributor.affiliation
Delft University of Technology, Netherlands (the)
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dc.contributor.affiliation
Delft University of Technology, Netherlands (the)
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dc.contributor.affiliation
Delft University of Technology, Netherlands (the)
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dc.contributor.affiliation
Delft University of Technology, Netherlands (the)
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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
197
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dc.description.endpage
200
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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
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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
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tuw.researchTopic.id
M8
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tuw.researchTopic.id
C3
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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
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tuw.researchTopic.value
30
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tuw.researchTopic.value
35
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tuw.publication.orgunit
E000 - Technische Universität Wien
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dc.identifier.libraryid
AC17637684
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dc.description.numberOfPages
4
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tuw.author.orcid
0000-0002-2465-7643
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dc.rights.identifier
CC BY 4.0
en
dc.rights.identifier
CC BY 4.0
de
tuw.editor.orcid
0000-0003-2153-9315
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tuw.editor.orcid
0000-0002-8329-8687
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tuw.editor.orcid
0000-0003-4101-1964
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tuw.event.name
Advances in Materials and Pavement Performance Prediction 2025 (AM3P 2025)