Nature has engineered complex designs to achieve advanced properties and functionalities through millions of years of evolution. Many organisms have adapted to their living environments by producing extremely efficient materials and structures exhibiting optimized mechanical, thermal, and optical properties, which current technology is often unable to reproduce. These properties are often achieved using hierarchical structures spanning macro-, meso-, micro-, and nanoscales, widely observed in many natural materials like wood, bone, spider silk, and sponges. Thus far, bioinspired approaches have been successful in identifying optimized structures in terms of quasistatic mechanical properties, such as strength, toughness, and adhesion, but comparatively little work has been done as far as dynamic ones are concerned (e.g., vibration damping, noise insulation, sound amplification). In particular, relatively limited knowledge currently exists on how hierarchical structure can play a role in the optimization of natural structures, although concurrent length scales no doubt allow multiple frequency ranges to be addressed. Here, we review the main work that has been done to analyze structural optimization for dynamic mechanical properties, highlighting some common traits and strategies in different biological systems. We also discuss the relevance to bioinspired materials, in particular in the field of phononic crystals and metamaterials, and the potential of exploiting natural designs for technological applications.

Optimized structures for vibration attenuation and sound control in nature: A review / Bosia, Federico; Dal Poggetto, Vinicius F.; Gliozzi, Antonio S.; Greco, Gabriele; Lott, Martin; Miniaci, Marco; Ongaro, Federica; Onorato, Miguel; Seyyedizadeh, Seyedeh F.; Tortello, Mauro; Pugno, Nicola M.. - In: MATTER. - ISSN 2590-2393. - ELETTRONICO. - 5:10(2022), pp. 3311-3340. [10.1016/j.matt.2022.07.023]

Optimized structures for vibration attenuation and sound control in nature: A review

Federico Bosia;Antonio S. Gliozzi;Martin Lott;Seyedeh F. Seyyedizadeh;Mauro Tortello;
2022

Abstract

Nature has engineered complex designs to achieve advanced properties and functionalities through millions of years of evolution. Many organisms have adapted to their living environments by producing extremely efficient materials and structures exhibiting optimized mechanical, thermal, and optical properties, which current technology is often unable to reproduce. These properties are often achieved using hierarchical structures spanning macro-, meso-, micro-, and nanoscales, widely observed in many natural materials like wood, bone, spider silk, and sponges. Thus far, bioinspired approaches have been successful in identifying optimized structures in terms of quasistatic mechanical properties, such as strength, toughness, and adhesion, but comparatively little work has been done as far as dynamic ones are concerned (e.g., vibration damping, noise insulation, sound amplification). In particular, relatively limited knowledge currently exists on how hierarchical structure can play a role in the optimization of natural structures, although concurrent length scales no doubt allow multiple frequency ranges to be addressed. Here, we review the main work that has been done to analyze structural optimization for dynamic mechanical properties, highlighting some common traits and strategies in different biological systems. We also discuss the relevance to bioinspired materials, in particular in the field of phononic crystals and metamaterials, and the potential of exploiting natural designs for technological applications.
2022
File in questo prodotto:
File Dimensione Formato  
Bosia_Optimized structures_arxiv.pdf

Open Access dal 06/10/2023

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: Creative commons
Dimensione 2.07 MB
Formato Adobe PDF
2.07 MB Adobe PDF Visualizza/Apri
2022_Bosia_Matter.pdf

non disponibili

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 5.83 MB
Formato Adobe PDF
5.83 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2972465