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Importance of non-affine viscoelastic response in disordered fibre networks.
Rizzi, L G; Auer, S; Head, D A.
Afiliação
  • Rizzi LG; Departamento de Física, Universidade Federal de Viçosa, 36570-900, Viçosa, Brazil and School of Chemistry, University of Leeds, LS2 9JT, Leeds, UK.
  • Auer S; School of Chemistry, University of Leeds, LS2 9JT, Leeds, UK.
  • Head DA; School of Computing, University of Leeds, LS2 9JT, Leeds, UK. d.head@leeds.ac.uk.
Soft Matter ; 12(19): 4332-8, 2016 05 11.
Article em En | MEDLINE | ID: mdl-27079274
ABSTRACT
Disordered fibre networks are ubiquitous in nature and have a wide range of industrial applications as novel biomaterials. Predicting their viscoelastic response is straightforward for affine deformations that are uniform over all length scales, but when affinity fails, as has been observed experimentally, modelling becomes challenging. Here we present a numerical methodology, related to an existing framework for amorphous packings, to predict the steady-state viscoelastic spectra and degree of affinity for disordered fibre networks driven at arbitrary frequencies. Applying this method to a peptide gel model reveals a monotonic increase of the shear modulus as the soft, non-affine normal modes are successively suppressed as the driving frequency increases. In addition to being dominated by fibril bending, these low frequency network modes are also shown to be delocalised. The presented methodology provides insights into the importance of non-affinity in the viscoelastic response of peptide gels, and is easily extendible to all types of fibre networks.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Géis Tipo de estudo: Prognostic_studies Idioma: En Revista: Soft Matter Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Géis Tipo de estudo: Prognostic_studies Idioma: En Revista: Soft Matter Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM