Multi-scale modelling of arterial tissue: Linking networks of fibres to continua

In this work we develop a multi-scale model to characterise the large scale constitutive behaviour of a material featuring a small scale fibrous architecture. The Method of Multi-scale Virtual Power (MMVP) is employed to construct the model. At the macro-scale, a classical continuum mechanics proble...

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Detalhes bibliográficos
Autores: Rocha, Felipe Figueredo, Blanco, Pablo Javier, Sánchez, Pablo Javier, Feijóo, Raúl Antonino
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2018
País:Argentina
Recursos:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositório:CONICET Digital (CONICET)
Idioma:inglês
OAI Identifier:oai:ri.conicet.gov.ar:11336/86262
Acesso em linha:http://hdl.handle.net/11336/86262
Access Level:Acceso aberto
Palavra-chave:BIOLOGICAL TISSUES
FIBRE NETWORK
MULTI-SCALE MODELLING
NON-AFFINITY
REPRESENTATIVE VOLUME ELEMENT
VIRTUAL POWER
https://purl.org/becyt/ford/2.3
https://purl.org/becyt/ford/2
Descrição
Resumo:In this work we develop a multi-scale model to characterise the large scale constitutive behaviour of a material featuring a small scale fibrous architecture. The Method of Multi-scale Virtual Power (MMVP) is employed to construct the model. At the macro-scale, a classical continuum mechanics problem is formulated in the finite strain regime. At the micro-scale, a network of fibres, modelled as one-dimensional continua, composes the representative volume element (RVE). The MMVP provides a full characterisation of the equilibrium problem at the RVE, with consistent boundary conditions, as well as the homogenisation formula which defines the first Piola–Kirchhoff stress tensor. Particular attention is given to the fact that the macro-scale continuum could be considered incompressible. Numerical experiments are presented and model consistency is verified against well-known phenomenological constitutive equations. Scenarios departing from the hypotheses of such phenomenological material models are discussed.