Fatigue of self-healing hierarchical soft nanomaterials: The case study of the tendon in sportsmen

Bosia, Federico; Merlino, Matthew; Pugno, Nicola

doi:10.1557/jmr.2014.335

Cited by 7 publications

(6 citation statements)

References 30 publications

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“…in tendons. 35 The problem of simultaneous optimization of strength and toughness in materials also appears in the field of high-energy shock loadings (e.g., impacts, cutting, and blasts). Indeed, energy dissipation must occur in limited volume of material in these cases, since heavy structures are generally undesirable, such as in body armors, helmets, and crashworthy components for automotive or aerospace applications.…”

Section: Mrs Bulletinmentioning

confidence: 99%

Computational modeling of the mechanics of hierarchical materials

2016

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Structural hierarchy coupled with material heterogeneity is often identified in natural materials, from nano-to macroscale. It combines disparate mechanical properties, such as strength and toughness, and multifunctionality, such as smart adhesion, water repellence, self-cleaning, and self-healing. These 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.

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Section: Mrs Bulletinmentioning

confidence: 99%

Computational modeling of the mechanics of hierarchical materials

2016

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“…This is important to understand the structure and the mechanical behaviour of biological materials subjected to fatigue loading and characterised by self-healing and hierarchy, e.g. human tendons [36,37], but modelling predictions can also help the design of artificial self-healing materials [38]. For these objectives, it is fundamental to focus on the improvement of the material mechanical properties, in particular the overall strength and toughness, the statistical properties across the hierarchical levels and the effectiveness of different self-healing mechanisms.…”

Section: Introductionmentioning

confidence: 99%

“…We thus adopt an approach analogous to that presented in [23,37], except the that numerical evaluation tool here is the random fuse model (RFM). The RFM has been extensively used in the literature to model damage evolution [39,40], and provides scaling laws as a function of the system size that are well-known [41,42] in the absence of self-healing.…”

Section: Introductionmentioning

confidence: 99%

Random fuse model in the presence of self-healing

2020

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Self-regeneration is a fundamental property of biological materials, leading to enhanced mechanical strength and toughness if subjected to stress and fatigue. Numerous efforts have been devoted to emulate this property and various self-healing materials have been designed with the aim of a practical adoption in construction and mechanical engineering. To achieve this, it is important to understand how damage evolution and fracture propagation are modified by self-healing and to evaluate how mechanical behaviour is affected before failure. In this paper, we implement for the first time a selfhealing procedure in the random fuse model, whose characteristic scaling properties have been widely studied in the literature on damage evolution modelling. We identify some characteristic signatures of self-healing, showing that it can delay the failure of a material undergoing loading, but it also lead to a hard-to-predict, more catastrophic breakdown.

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“…The lattice or spring network method is applied widely in various areas of mechanics: to solve various problems of continuum mechanics, micromechanics, molecular dynamics, fracture mechanics, multiscale modelling, soft materials, and so on [ 1 , 2 , 3 , 4 , 5 , 6 ]. Apart from that, this method can also be applied to model different materials: metals, concrete, asphalt, ceramics, various composites, particulate solids, granular matter, and biomaterials [ 7 , 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

A Lattice Model for Elastic Particulate Composites

Zabulionis

Rimša

2018

Materials

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In the present article, a version of the lattice or spring network method is proposed to model the mechanical response of elastic particulate composites with a high volume fraction of spherical particles and with a much weaker matrix compared to the stiffness of the particles. The main subject of the article is the determination of the axial stiffnesses of the springs of the cell. A comparison of the mechanical response of a three-dimensional particulate composite cube obtained using the finite element method and the proposed methodology showed that the efficiency of the proposed methodology increases with an increasing volume fraction of the particles.

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Fatigue of self-healing hierarchical soft nanomaterials: The case study of the tendon in sportsmen

Cited by 7 publications

References 30 publications

Computational modeling of the mechanics of hierarchical materials

Computational modeling of the mechanics of hierarchical materials

Random fuse model in the presence of self-healing

A Lattice Model for Elastic Particulate Composites

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