A data‐driven approach for the structural analysis of hybrid metal‐plastic composites

The manufacturing of hybrid composites has an important impact on the final structural properties. Manufacturing induced defects influence the mechanical performance and thus need to be considered for the structural design. In this contribution, we present a data‐driven approach for the structural a...

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Bibliographic Details
Published in:Proceedings in applied mathematics and mechanics 2021-12, Vol.21 (1), p.n/a
Main Authors: Hürkamp, André, Rothe, Felix, Dröder, Klaus
Format: Article
Language:English
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Summary:The manufacturing of hybrid composites has an important impact on the final structural properties. Manufacturing induced defects influence the mechanical performance and thus need to be considered for the structural design. In this contribution, we present a data‐driven approach for the structural analysis of hybrid metal‐plastic composites. Based on numerical analyses, a surrogate model based on Proper Orthogonal Decomposition and Machine Learning is derived that can be implemented in early design optimizations.
ISSN:1617-7061
1617-7061
DOI:10.1002/pamm.202100247