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Buckling design optimization of tow-steered composite panels and cylindrical shells considering aleatory and epistemic uncertainties

Fina, Marc ORCID iD icon 1; Bisagni, Chiara
1 Institut für Baustatik (IBS), Karlsruher Institut für Technologie (KIT)

Abstract:

Aerospace structures are thin-walled shell structures whose load-bearing capacity is often limited by buckling phenomena. The application of variable angle tow (VAT) composites allows to increase the buckling resistance by tailoring the fiber paths. Fiber placement technologies such as automated fiber placement and continuous tow shearing for VAT composites have been improved enormously in recent years. However, induced material and geometric uncertainties from the manufacturing process have a major influence on the structural performance. The paper focuses on appropriate uncertainty quantification for VAT composites, selecting various uncertainty models based on available data. Different uncertainty models are introduced to quantify the natural variability (aleatory uncertainty) and lack of knowledge (epistemic uncertainty). An uncertain fiber path definition with fuzzy variables is presented to model fiber path deviations. In addition, geometric imperfections are modeled as random fields and as Fourier series to analyze the imperfection sensitivity. Based on this, a design optimization of VAT
composites is performed in presence of uncertainties. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000179045
Veröffentlicht am 13.02.2025
Originalveröffentlichung
DOI: 10.1007/s00466-024-02589-8
Scopus
Zitationen: 4
Web of Science
Zitationen: 3
Dimensions
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Baustatik (IBS)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 07.2025
Sprache Englisch
Identifikator ISSN: 0178-7675, 1432-0924
KITopen-ID: 1000179045
Erschienen in Computational Mechanics
Verlag Springer
Band 76
Heft 1
Seiten 59–92
Vorab online veröffentlicht am 06.02.2025
Nachgewiesen in OpenAlex
Web of Science
Dimensions
Scopus
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