A data‐driven approach for the structural analysis of hybrid metal‐plastic composites. Issue 1 (14th December 2021)

• Record Type: Journal Article
• Authors: Hürkamp, André; Rothe, Felix; Dröder, Klaus
• Editors: Kaliske, M.
• Is Part Of: Proceedings in applied mathematics and mechanics. Volume 21:Issue 1(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-12-14
• Subjects: Applied mathematics -- Periodicals; Engineering mathematics -- Periodicals; Mathematical physics -- Periodicals; 519
• DOI: 10.1002/pamm.202100247
• Languages: English
• ISSNs: 1617-7061

Abstract

Abstract: 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.