<div class="csl-bib-body">
<div class="csl-entry">Crampen, D., Becker, R., Wollny, I., Kaliske, M., & Blankenbach, J. (2025). Scan2FEM – Automatic mesh generation of highway pavements from reality capture data. 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. 592–595). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10888</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/219482
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dc.identifier.uri
https://doi.org/10.34726/10888
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dc.description.abstract
An important use case for Digital Twins of roads is pavement distress prediction. One requirement for accurate simulations is a detailed pavement model as a foundation for finite element analysis. This model has to represent the as-is state of the road as closely as possible. This work presents a novel approach for 3D point cloud-to-pavement mesh generation for structural analysis applications. We evaluate our method on point clouds from different reality capture sources with varying densities and accuracies to showcase its robustness and provide insight into the maximum feasible resolution of a mesh generated using aerial platforms. Our approach can yield both structured and unstructured meshes for use in finite element simulations of the pavement.
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
Digital Twin
en
dc.subject
Automation
en
dc.subject
Point Clouds
en
dc.subject
Surface Meshing
en
dc.subject
Pavement Modeling
en
dc.title
Scan2FEM – Automatic mesh generation of highway pavements from reality capture data
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
10.34726/10888
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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
RWTH Aachen University, Germany
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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.relation.isbn
978-3-901912-99-3
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dc.relation.doi
10.34726/9259
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dc.description.startpage
592
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dc.description.endpage
595
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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
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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
AC17651400
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dc.description.numberOfPages
4
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tuw.author.orcid
0000-0003-3912-9699
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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
-
tuw.editor.orcid
0000-0003-4101-1964
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tuw.event.name
Advances in Materials and Pavement Performance Prediction 2025 (AM3P 2025)