- Open Access
Criticality Enhances the Reinforcement of Disordered Networks by Rigid Inclusions
Phys. Rev. X 15, 031061 – Published 2 September, 2025
DOI: https://doi.org/10.1103/b9bh-rrj1
Abstract
The mechanical properties of biological materials are spatially heterogeneous. Typical tissues are made up of a spanning fibrous extracellular matrix in which various inclusions, such as living cells, are embedded. While the influence of embedded inclusions on the stiffness of common elastic materials such as rubber has been studied for decades and can be understood in terms of the volume fraction and shape of inclusions, the same is not true for disordered filamentous and fibrous networks. Recent work has shown that, in isolation, such networks exhibit unusual viscoelastic behavior indicative of an underlying mechanical phase transition controlled by network connectivity and strain. How this behavior is modified when inclusions are present is unclear. Here, we present a theoretical and computational study of the influence of rigid inclusions on the mechanics of disordered elastic networks near the connectivity-controlled central-force rigidity transition. Combining scaling theory and coarse-grained simulations, we predict and confirm an anomalously strong dependence of the composite stiffness on inclusion volume fraction, beyond that seen in ordinary composites. This stiffening exceeds the well-established volume-fraction-dependent stiffening expected in conventional composites, e.g., as an elastic analog of the classic volume-fraction-dependent increase in the viscosity of liquids first identified by Einstein. We show that this enhancement is a consequence of the interplay between interparticle spacing and an emergent correlation length, leading to an effective finite-size scaling imposed by the presence of inclusions. We outline the expected scaling of the linear shear modulus and strain fluctuations with the inclusion volume fraction and network connectivity, confirm these predictions in simulations, and discuss potential experimental tests and implications for our predictions in real systems.
Physics Subject Headings (PhySH)
Popular Summary
Many biological and synthetic materials use a mix of soft networks and stiff inclusions to tune their mechanical properties. Classical composite theory says stiffness should increase steadily with the amount of rigid material added. But soft fibrous networks—like collagen scaffolds in living tissue—often operate near a mechanical critical point, where small changes can lead to dramatic effects. In this study, we show that adding even a very small number of stiff inclusions near this point causes a much larger-than-expected increase in stiffness.
We use a combination of scaling theory and computer simulations to explore this behavior. The rigid inclusions disrupt the network’s structure and limit how far deformations can spread. Normally, near the critical point, deformation correlations grow very large. But these inclusions act like barriers, reducing the correlation length and making the material stiffer. Our analysis shows that the spacing between inclusions and their volume fraction are key factors and that the resulting stiffening goes well beyond the predictions of traditional models.
This work reveals how small numbers of embedded structures—like cells in tissue—can greatly influence a material’s mechanics. Our findings suggest new ways to design materials with highly controllable stiffness for applications like tissue engineering, soft robotics, and responsive materials that can adapt to their environment.
Article Text
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