<div class="csl-bib-body">
<div class="csl-entry">Fricke, C. D., Mitrovic, L., & Pettermann, H. (2024, May 29). <i>Elastic-plastic lattice materials - machine learning based constitutive modeling</i> [Conference Presentation]. EMMC19: 19th European Mechanics of Materials Conference 2024, Madrid, Spain.</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/198617
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dc.description.abstract
The prediction of the structural response requires the constitutive description of the material from which the structure is built. For complex elastic-plastic anisotropic materials, analytical closed form constitutive models with sufficient accuracy may not exist. Concurrent modeling (i.e. FE^2) is extremely costly, in particular for larger three-dimensional structures.
Alternatively, data driven approaches based on machine learning gains increasing attention. In this contribution such an approach will be presented for a periodic lattice material with cubic material symmetry and elastic-plastic parent material. Not only the elastic anisotropy is very pronounced, but also the initial yield surface and the hardening response is highly direction dependent.
A periodic unit cell model is set up in the framework of the Finite Element Method to predict the non-linear stress response to strain controlled monotonic proportional loading. The resulting data base is used for training, testing, and validation of an artificial neural network. Additionally, energy considerations are included in terms of elastic recoverable and plastic dissipative contributions to distinguish between loading and unloading. Moreover, the predictive capabilities for (mildly) non-proportional strain histories is assessed.
The AI-based constitutive model is implemented as VUMAT into ABAQUS/Explicit to run structural analyses. As example a cantilever beam formed by ten times hundred unit cells is studied under various loading conditions and the performance of the developed constitutive model is evaluated. Since the example beam is small enough to fully discretize the all lattice members, detailed comparison to the reference model is possible.
en
dc.language.iso
en
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dc.subject
constitutive modeling
en
dc.subject
machine learning
en
dc.subject
elasto-plasticity
en
dc.subject
anisotropy
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dc.subject
lattice material
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dc.subject
structural analysis
en
dc.subject
Finite Element Method
en
dc.title
Elastic-plastic lattice materials - machine learning based constitutive modeling
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.type.category
Conference Presentation
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tuw.researchTopic.id
M7
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tuw.researchTopic.id
C6
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tuw.researchTopic.id
C1
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tuw.researchTopic.name
Special and Engineering Materials
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.name
Computational Materials Science
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tuw.researchTopic.value
20
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tuw.researchTopic.value
40
-
tuw.researchTopic.value
40
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tuw.publication.orgunit
E317-01 - Forschungsbereich Leichtbau
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tuw.author.orcid
0000-0002-9495-2285
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tuw.author.orcid
0000-0001-7162-5989
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tuw.event.name
EMMC19: 19th European Mechanics of Materials Conference 2024
en
tuw.event.startdate
29-05-2024
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tuw.event.enddate
31-05-2024
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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
Madrid
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tuw.event.country
ES
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tuw.event.presenter
Pettermann, Heinz
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tuw.event.track
Multi Track
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wb.sciencebranch
Maschinenbau
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wb.sciencebranch
Informatik
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wb.sciencebranch
Sonstige Technische Wissenschaften
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wb.sciencebranch.oefos
2030
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
2119
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wb.sciencebranch.value
40
-
wb.sciencebranch.value
30
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wb.sciencebranch.value
30
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item.languageiso639-1
en
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item.openairetype
conference paper not in proceedings
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item.grantfulltext
none
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_18cp
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crisitem.author.dept
E317-01-2 - Forschungsgruppe Struktur- und Werkstoffsimulation
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crisitem.author.dept
E317-01 - Forschungsbereich Leichtbau
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crisitem.author.dept
E317-01-2 - Forschungsgruppe Struktur- und Werkstoffsimulation
-
crisitem.author.orcid
0000-0002-9495-2285
-
crisitem.author.orcid
0000-0001-7162-5989
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crisitem.author.parentorg
E317-01 - Forschungsbereich Leichtbau
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crisitem.author.parentorg
E317 - Institut für Leichtbau und Struktur-Biomechanik