2016
DOI: 10.1038/nphys3628
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Strain-controlled criticality governs the nonlinear mechanics of fibre networks

Abstract: 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 [1]. Upon increasing the connectivity through this point, such networks undergo a mechanical phase transition from a floppy to a rigid phase. However, even subisostatic networks become rigid when subjected … Show more

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Cited by 185 publications
(333 citation statements)
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“…There are three regimes as a function of strain: a linear elastic regime at low strain, a regime of rapid stiffening above a threshold strain Îł 0 , and a high-strain regime in which the strain dependence is weaker and the elastic modulus becomes independent ofÎș. The initial, linear modulus scales linearly withÎș, indicating a bend-dominated response, as has been reported in several prior computational studies [13,15,18,19,23,33,39]. The applicability of the computational model for athermal networks such as collagen depends on the following observations.…”
Section: Strain Driven Criticalitymentioning
confidence: 78%
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“…There are three regimes as a function of strain: a linear elastic regime at low strain, a regime of rapid stiffening above a threshold strain Îł 0 , and a high-strain regime in which the strain dependence is weaker and the elastic modulus becomes independent ofÎș. The initial, linear modulus scales linearly withÎș, indicating a bend-dominated response, as has been reported in several prior computational studies [13,15,18,19,23,33,39]. The applicability of the computational model for athermal networks such as collagen depends on the following observations.…”
Section: Strain Driven Criticalitymentioning
confidence: 78%
“…The most relevant experimental control variable is the total protein concentration c. For a given thickness of fibers, the volume fraction ϕ of a network scales linearly with c and using the above assumptions can be simply related to the reduced bending rigidityÎș as ϕ ∌Îș ∝ (a/ l 0 ) 2 [23,33,35,36], where a is the fiber thickness. It follows that K/ϕ (or K/c) in experiments can be directly compared with K(Îł,Îș) in simulations.…”
Section: Relationship Between Model and Experimental Parametersmentioning
confidence: 99%
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“…1b-d). Fiber networks are ubiquitous in nature, taking the form of cell cytoskeleton and extra-cellular matrix, and in manmade materials, taking the form of fiber hydrogels and aerogels, felt, etc., and exhibit fascinating physics [30][31][32][33][34][35][36][37][38][39][40][41]. Using both analytic theory and numerical simulation, we show that topological floppy edge modes exist in these disordered fiber networks, and their existence lead to strongly asymmetric mechanical properties at opposite ends of the fiber network.…”
mentioning
confidence: 99%