<div class="csl-bib-body">
<div class="csl-entry">Schwaighofer, M., Königsberger, M., Pech, S., Lukacevic, M., & Füssl, J. (2025, September). <i>Deep Eshelby Network: An AI Framework for Multiscale Mean-Field Homogenization with Arbitrary Inclusion Shapes</i> [Conference Presentation]. 10th ECCOMAS Thematic Conference on the Mechanical Response of Composites, Austria. http://hdl.handle.net/20.500.12708/219505</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/219505
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dc.description.abstract
Mean-field homogenization theory is a widely used approach for predicting the macroscopic properties of composites. This theory is primarily based on the Eshelby problem, which provides solutions for eigenstrain concentration in an ellipsoidal inclusion within an infinite matrix. However, real-world microstructures often contain inclusions with non-ellipsoidal shapes, for which no analytical Eshelby solutions exist [1]. To overcome this limitation, we propose the Deep Eshelby Network (DEN), a machine-learning-based framework that solves the Eshelby problem for arbitrary inclusion shapes by leveraging recently established deep material networks (DMNs) [2, 3, 4]. The DEN is structured as a tree-like neural network where each neuron performs stiffness homogenization and strain concentration based on laminate homogenization theory. The DEN is trained with strain concentration tensors derived from finite element (FE) simulations of superspherical inclusions (see Fig. 1) embedded in an infinite matrix. By parameterizing superspheres, the DEN accurately predicts strain concentration tensors for a broad range of physically relevant inclusion geometries. Once trained, the DEN seamlessly integrates with mean-field homogenization theories, allowing efficient homogenization of complex multi-scale microstructures without requiring additional microstructure-specific training. This approach surpasses the limitations of analytical methods while significantly reducing the computational cost compared to FE simulations, offering a practical and scalable solution for modeling composite materials.
en
dc.language.iso
en
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dc.subject
Mean-field homogenization theory
en
dc.subject
eigenstrain concentration
en
dc.subject
Eshelby Network
en
dc.title
Deep Eshelby Network: An AI Framework for Multiscale Mean-Field Homogenization with Arbitrary Inclusion Shapes
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.type.category
Conference Presentation
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tuw.researchTopic.id
C1
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tuw.researchTopic.name
Computational Materials Science
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E202-02 - Forschungsbereich Struktursimulation und Ingenieurholzbau
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tuw.author.orcid
0000-0003-1445-206X
-
tuw.author.orcid
0000-0002-8415-2823
-
tuw.author.orcid
0000-0002-6441-8698
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tuw.event.name
10th ECCOMAS Thematic Conference on the Mechanical Response of Composites
en
tuw.event.startdate
09-09-2025
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tuw.event.enddate
11-09-2025
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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.country
AT
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tuw.event.presenter
Schwaighofer, Michael
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wb.sciencebranch
Maschinenbau
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wb.sciencebranch
Bauingenieurwesen
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
2030
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wb.sciencebranch.oefos
2011
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.value
40
-
wb.sciencebranch.value
40
-
wb.sciencebranch.value
20
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item.languageiso639-1
en
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item.grantfulltext
restricted
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item.openairetype
conference paper not in proceedings
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item.openairecristype
http://purl.org/coar/resource_type/c_18cp
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item.cerifentitytype
Publications
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item.fulltext
no Fulltext
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crisitem.author.dept
E202-02 - Forschungsbereich Werkstoff- und Struktursimulation
-
crisitem.author.dept
E202-02 - Forschungsbereich Werkstoff- und Struktursimulation
-
crisitem.author.dept
E202-02 - Forschungsbereich Werkstoff- und Struktursimulation
-
crisitem.author.dept
E202-02 - Forschungsbereich Werkstoff- und Struktursimulation
-
crisitem.author.dept
E202-02 - Forschungsbereich Werkstoff- und Struktursimulation
-
crisitem.author.orcid
0000-0003-1445-206X
-
crisitem.author.orcid
0000-0002-8415-2823
-
crisitem.author.orcid
0000-0002-6441-8698
-
crisitem.author.parentorg
E202 - Institut für Mechanik der Werkstoffe und Strukturen
-
crisitem.author.parentorg
E202 - Institut für Mechanik der Werkstoffe und Strukturen
-
crisitem.author.parentorg
E202 - Institut für Mechanik der Werkstoffe und Strukturen
-
crisitem.author.parentorg
E202 - Institut für Mechanik der Werkstoffe und Strukturen
-
crisitem.author.parentorg
E202 - Institut für Mechanik der Werkstoffe und Strukturen
