Tailored Torsion and Bending‐Resistant Avian‐Inspired Structures
The escalating demand for torsion‐ and bending‐resistant structures paired with the need for more efficient use of materials and geometries, have led to novel bio‐inspired ingenious solutions. However, lessons from Nature could be as inspiring as they are puzzling: plants and animals offer an enormous range of promising but hierarchically complex configurations. Avian bones are prominent candidates for addressing the torsional and bending issue. They present a unique intertwining of simple components: helicoidal ridges and crisscrossing struts, able to bear flexural and twisting actions of winds. Here, it is set how to harmonically move from the natural to the engineering level to formalize and analyze the biological phenomena under controlled design conditions. The effect of ridges and struts is isolated and combined toward tailored torsion and bending‐resistant arrangements. Then the biological level is revisited to extrapolate the avian allometric design approach and is translated into multiscale lightweight structures at the engineering level. This study exploits the complexity of Nature and the scalability that characterizes the evolutionary design of bird bones through the design and fabrication versatility allowed by additive manufacturing technologies. This paves the way for exploring the transferability of the proposed solution at multiple engineering scales.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Tailored Torsion and Bending‐Resistant Avian‐Inspired Structures ; day:07 ; month:09 ; year:2022 ; extent:9
Advanced engineering materials ; (07.09.2022) (gesamt 9)
- Urheber
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Buccino, Federica
Bruzzaniti, Paolo
Candidori, Sara
Graziosi, Serena
Vergani, Laura Maria
- DOI
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10.1002/adem.202200568
- URN
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urn:nbn:de:101:1-2022090815093509380371
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:30 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Buccino, Federica
- Bruzzaniti, Paolo
- Candidori, Sara
- Graziosi, Serena
- Vergani, Laura Maria
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