<div class="csl-bib-body">
<div class="csl-entry">Habassi, K., Coulon, L., Ayadi, A., Samet, A., & Chazallon, C. (2025). Prediction of Bitumen Ageing States Using the Kernel Ridge Regression. 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. 555–558). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/11000</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/219653
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dc.identifier.uri
https://doi.org/10.34726/11000
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dc.description.abstract
The study presents the first results of a supervised machine learning model used to predict the complex modulus of both neat and aged binders recovered from asphalt concrete. Trained on data combining complex modulus measurements and chemical properties, the model captures the intricate relationships between bitumen composition and mechanical behaviour. The model successfully predicts both known and unknown ageing states.
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
http://creativecommons.org/licenses/by/4.0/
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dc.subject
bitumen ageing
en
dc.subject
Kernel Ridge Regression
en
dc.subject
Machine Learning
en
dc.title
Prediction of Bitumen Ageing States Using the Kernel Ridge Regression
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.identifier.doi
10.34726/11000
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dc.contributor.affiliation
ENI Tunis
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dc.contributor.affiliation
Institut National des Sciences Appliquées de Strasbourg, France
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dc.contributor.affiliation
Université de Strasbourg, France
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dc.contributor.affiliation
Institut National des Sciences Appliquées de Strasbourg, France
-
dc.contributor.affiliation
Institut National des Sciences Appliquées de Strasbourg, France
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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
555
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dc.description.endpage
558
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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.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
M2
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tuw.researchTopic.id
C6
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tuw.researchTopic.name
Materials Characterization
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.value
50
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tuw.researchTopic.value
50
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tuw.publication.orgunit
E000 - Technische Universität Wien
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dc.description.numberOfPages
4
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tuw.author.orcid
0009-0009-0652-8790
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tuw.author.orcid
0000-0003-1660-4100
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tuw.author.orcid
0000-0002-1612-3465
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tuw.author.orcid
0000-0002-0993-5019
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
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)
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
Habassi, K.
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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
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wb.sciencebranch.value
70
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item.languageiso639-1
en
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item.grantfulltext
open
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item.openairetype
conference paper
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item.openaccessfulltext
Open Access
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item.mimetype
application/pdf
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.cerifentitytype
Publications
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item.fulltext
with Fulltext
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crisitem.author.dept
ENI Tunis
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crisitem.author.dept
Institut National des Sciences Appliquées de Strasbourg, France
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crisitem.author.dept
Université de Strasbourg, France
-
crisitem.author.dept
Institut National des Sciences Appliquées de Strasbourg, France
-
crisitem.author.dept
Institut National des Sciences Appliquées de Strasbourg, France
