<div class="csl-bib-body">
<div class="csl-entry">Kehls, J., Brepols, T., Reese, S., Anantheswar, A., Wollny, I., & Kaliske, M. (2025). Towards real-time structural simulations for the digital twin of the road. 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. 596–599). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10889</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/219483
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dc.identifier.uri
https://doi.org/10.34726/10889
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dc.description.abstract
In the context of digital twins, fast simulations are essential to obtain meaningful information about a system in near real-time. To achieve this goal in the context of a digital twin of a road system, a combination of the Arbitrary Lagrangian Eulerian (ALE) method and proper orthogonal decomposition (POD)-based model order reduction is proposed. In a numerical example, the combination of the two methods is shown to reduce the computation time of a simulation significantly, introducing only a small approximation error. Furthermore, it is demonstrated that the framework can predict unseen structural behavior without a vast amount of data.
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
Model Order Reduction
en
dc.subject
Arbitrary Lagrangian Eulerian
en
dc.subject
Digital Twin
en
dc.subject
Computational Mechanics
en
dc.subject
Proper Orthogonal Decomposition
en
dc.title
Towards real-time structural simulations for the digital twin of the road
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
10.34726/10889
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dc.contributor.affiliation
RWTH Aachen University, Germany
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dc.contributor.affiliation
RWTH Aachen University, Germany
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dc.contributor.affiliation
University of Siegen, Germany
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dc.contributor.affiliation
Technische Universität Dresden, Germany
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dc.contributor.affiliation
Technische Universität Dresden, Germany
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dc.contributor.affiliation
Technische Universität Dresden, Germany
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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
596
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dc.description.endpage
599
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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
-
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
AC17651402
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dc.description.numberOfPages
4
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tuw.author.orcid
0009-0007-8254-9900
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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
-
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)
