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Computational modeling of the mechanics of hierarchical materials

Published online by Cambridge University Press:  08 September 2016

Stefano Signetti
Affiliation:
Laboratory of Bio-Inspired & Graphene Nanomechanics, Department of Civil, Environmental and Mechanical Engineering, University of Trento, Italy; stefano.signetti@unitn.it
Federico Bosia
Affiliation:
Department of Physics and Nanostructured Interfaces and Surfaces Interdepartmental Centre, University of Turin, Italy; fbosia@unito.it
Nicola M. Pugno
Affiliation:
Laboratory of Bio-Inspired & Graphene Nanomechanics, Department of Civil, Environmental and Mechanical Engineering, University of Trento, and Center for Materials and Microsystems, Fondazione Bruno Kessler, Italy; and School of Engineering and Materials Science, Queen Mary University of London, UK; nicola.pugno@unitn.it
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Abstract

Structural hierarchy coupled with material heterogeneity is often identified in natural materials, from the nano- to the macroscale. It combines disparate mechanical properties, such as strength and toughness, and multifunctionality, such as smart adhesion, water repellence, self-cleaning, and self-healing. Hierarchical architectures can be employed in synthetic bioinspired structured materials, also adopting constituents with superior mechanical properties, such as carbon nanotubes or graphene. Advanced computational modeling is essential to understand the complex mechanisms that couple material, structural, and topological hierarchy, merging phenomena of different nature, size, and time scales. Numerical modeling also allows extensive parametric studies for the optimization of material properties and arrangement, avoiding time-consuming and complex experimental trials, and providing guidance in the fabrication of novel advanced materials. Here, we review some of the most promising approaches, with a focus on the methods developed by our group.

Type
Research Article
Copyright
Copyright © Materials Research Society 2016 

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