Strain-controlled criticality governs the nonlinear mechanics of fibre networks
Fibre networks become rigid at a critical connectivity, but biopolymers giving structure to cells aren’t always well connected. Modelling and experiments on collagen networks show that their rigidity constitutes strain-controlled critical behaviour. Disordered fibrous networks are ubiquitous in natu...
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Veröffentlicht in: | Nature physics 2016-06, Vol.12 (6), p.584-587 |
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Sprache: | eng |
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Zusammenfassung: | Fibre networks become rigid at a critical connectivity, but biopolymers giving structure to cells aren’t always well connected. Modelling and experiments on collagen networks show that their rigidity constitutes strain-controlled critical behaviour.
Disordered fibrous networks are ubiquitous in nature as major structural components of living cells and tissues. The mechanical stability of networks generally depends on the degree of connectivity: only when the average number of connections between nodes exceeds the isostatic threshold are networks stable
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. On increasing the connectivity through this point, such networks undergo a mechanical phase transition from a floppy to a rigid phase. However, even sub-isostatic networks become rigid when subjected to sufficiently large deformations. To study this strain-controlled transition, we perform a combination of computational modelling of fibre networks and experiments on networks of type I collagen fibres, which are crucial for the integrity of biological tissues. We show theoretically that the development of rigidity is characterized by a strain-controlled continuous phase transition with signatures of criticality. Our experiments demonstrate mechanical properties consistent with our model, including the predicted critical exponents. We show that the nonlinear mechanics of collagen networks can be quantitatively captured by the predictions of scaling theory for the strain-controlled critical behaviour over a wide range of network concentrations and strains up to failure of the material. |
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ISSN: | 1745-2473 1745-2481 |
DOI: | 10.1038/nphys3628 |