<div class="csl-bib-body">
<div class="csl-entry">Bolz, P. G. (2025). RAPToRS – Rapid Analysis and Processing Tool for Random Granular Structures. 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. 121–124). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10547</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/218921
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dc.identifier.uri
https://doi.org/10.34726/10547
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dc.description.abstract
The RAPToRS tool (Rapid Analysis and Processing Tool for Random Granular Structures) is a Python-based application designed for efficient generation, analysis, and processing of granular structures with specified grain parameters. It supports the serial calculation of mechanical properties for composite granular materials, such as concrete and asphalt, enabling applications such as AI-driven property prediction and statistical material analysis. RAPToRS leverages Python's parallelisation capabilities for enhanced computational performance. In test calculations, it generated and analysed 100 random models in about 64 s per model on a single processor. Integrating with OpenSeesPy’s extensive library of 73 material models, RAPToRS also facilitates advanced analyses of complex material behaviours of multiphase materials with varied properties.
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
finite element method
en
dc.subject
granular material
en
dc.subject
Python
en
dc.subject
data generation
en
dc.title
RAPToRS – Rapid Analysis and Processing Tool for Random Granular Structures
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
10.34726/10547
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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
121
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dc.description.endpage
124
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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
-
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
AC17636700
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dc.description.numberOfPages
4
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tuw.author.orcid
0009-0006-5528-7725
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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)
