title: Heterogeneous long-range correlated deformation of semiflexible random fiber networks.
abstract: The deformation of dense random fiber networks is important in a variety of applications including biological and nonliving systems. In this paper it is shown that semiflexible fiber networks exhibit long-range power-law spatial correlations of the density and elastic properties. Hence, the stress and strain fields measured over finite patches of the network are characterized by similar spatial correlations. The scaling is observed over a range of scales bounded by a lower limit proportional to the segment length and an upper limit on the order of the fiber length. If the fiber bending stiffness is reduced below a threshold, correlations are lost. The issue of solving boundary value problems defined on large domains of random fiber networks is also addressed. Since the direct simulation of such systems is impractical, the network is mapped into an equivalent continuum with long-range correlated elastic moduli. A technique based on the stochastic finite element method is used to solve the resulting stochastic continuum problem. The method provides the moments of the distribution function of the solution (e.g., of the displacement field). It performs a large dimensionality reduction which is based on the scaling properties of the underlying elasticity of the material. Two examples are discussed in closure.
authors.affiliation: Department of Mechanical, Aerospace, and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180, USA.
authors.forename: H
authors.initials: H
authors.lastname: Hatami-Marbini
authors.forename: R C
authors.initials: RC
authors.lastname: Picu
mesh_terms: D003198:Computer Simulation; D003599:Cytoskeleton / Q000502:physiology* / Q000648:ultrastructure*; D055119:Elastic Modulus; D004547:Elastic Tissue / Q000166:cytology* / Q000502:physiology*; D008954:Models, Biological; D013223:Statistics as Topic