Computational modeling of the mechanics of hierarchical materials

Signetti, Stefano; Bosia, Federico; Pugno, Nicola

doi:10.1557/mrs.2016.185

Cited by 10 publications

(3 citation statements)

References 60 publications

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“…In bio-inspired materials research new properties have been obtained by mimicking the structure observed in biological systems, suggesting that the key factor lies in the hierarchical architecture with interacting features at different size scales, whose combined effects lead to emergent synergistic properties 23 . This is true for friction of multi-structured surfaces, where intrinsic multiscale interactions can be combined with artificially introduced ones.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Spring-Block Model for Multiscale Friction Problems

Costagliola

Bosia

Pugno

2017

ACS Biomater. Sci. Eng.

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A primary issue in bio-materials science is to design materials with ad-hoc properties, depending on the specific application. Among these properties, friction is recognized as a fundamental aspect characterizing materials for many practical purposes. Recently, new and unexpected frictional properties have been obtained by exploiting hierarchical multiscale structures, inspired by those observed in many biological systems. In order to understand the emergent frictional behaviour of these materials at the macroscale, it is fundamental to investigate their hierarchical structure, spanning across different length scales. In this paper, we introduce a statistical multiscale approach, based on a one-dimensional formulation of the spring-block model, in which friction is modeled at each hierarchical scale through the classical Amontons-Coulomb force with statistical dispersion on the friction coefficients of the microscopic components. By means of numerical simulations, we deduce the global statistical distributions 1 of the elementary structure at micrometric scale, and use them as input distributions for the simulations at the next scale levels. We thus study the influence of microscopic artificial patterning on macroscopic friction coefficients. We show that is it possible to tune the friction properties of a hierarchical surface and provide some insight on the mechanisms involved at different length scales.

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Section: Introductionmentioning

confidence: 99%

Hierarchical Spring-Block Model for Multiscale Friction Problems

Costagliola

Bosia

Pugno

2017

ACS Biomater. Sci. Eng.

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“…Given the relative scarce variation in the basic constituent materials (essentially combinations of hard mineralized and soft tissues), the great variety of mechanical properties achieved in natural materials is mainly obtained through the complexity of structural architectures, including material arrangements, mixing, and grading over different size scales. The mechanical modelization of these complex, often hierarchical structures, requires advanced modelling tools, with the possibility of simultaneously including different length scales in simulations [131][132][133][134].…”

Section: Numerical Modelling Of Bio-inspired Structuresmentioning

confidence: 99%

Topologically engineered 3D printed architectures with superior mechanical strength

et al. 2021

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“…Maiti et al [32] used coarse-grained molecular dynamics to study the behaviour of self-healing polymers and compute parameters such as the local elastic modulus, reaction rates and cure kinetics, for a continuum macroscopic scale model. A review of early attempts of applying numerical methods to self-healing materials is given in [33], and a more recent review on computational modelling of hierarchical materials, including self-healing, is provided in [34].…”

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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Computational modeling of the mechanics of hierarchical materials

Cited by 10 publications

References 60 publications

Hierarchical Spring-Block Model for Multiscale Friction Problems

Hierarchical Spring-Block Model for Multiscale Friction Problems

Topologically engineered 3D printed architectures with superior mechanical strength

Random fuse model in the presence of self-healing

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