Hard sphere fluids in random fiber networks

2003 ◽  
Vol 119 (6) ◽  
pp. 3495-3500 ◽  
Author(s):  
Matthias Schmidt ◽  
Joseph M. Brader
Keyword(s):  
Hard Sphere ◽  
Fiber Networks ◽  
Random Fiber Networks

scholarly journals In-plane and out-of-plane stiffness of 2D random fiber networks: Micromechanics and non-classical stiffness relation

2020 ◽  
Vol 36 ◽  
pp. 100658 ◽  
Author(s):  
Fei Pan ◽  
Feng Zhang ◽  
Yuli Chen ◽  
Zhi Liu ◽  
Xiaoling Zheng ◽  
...  
Keyword(s):  
Fiber Networks ◽  
Out Of Plane ◽  
Random Fiber Networks

Dynamic response of cross-linked random fiber networks

2014 ◽  
Vol 135 (4) ◽  
pp. 2418-2418
Author(s):  
Sahab Babaee ◽  
Ali Shahsavari ◽  
Catalin Picu ◽  
Katia Bertoldi
Keyword(s):  
Dynamic Response ◽  
Fiber Networks ◽  
Random Fiber Networks

scholarly journals Random Fiber Networks With Superior Properties Through Network Topology Control

2019 ◽  
Vol 86 (8) ◽  
Author(s):  
S. Deogekar ◽  
Z. Yan ◽  
R. C. Picu
Keyword(s):  
Network Architecture ◽  
Elastic Behavior ◽  
Fiber Networks ◽  
Linear Elastic ◽  
New Class ◽  
Link Density ◽  
Cross Link Density ◽  
Random Fiber Networks ◽  
Nonlinear Elastic ◽  
Poisson Contraction

In this work, we study the effect of network architecture on the nonlinear elastic behavior and strength of athermal random fiber networks of cellular type. We introduce a topology modification of Poisson–Voronoi (PV) networks with convex cells, leading to networks with stochastic nonconvex cells. Geometric measures are developed to characterize this new class of nonconvex Voronoi (NCV) networks. These are softer than the reference PV networks at the same nominal network parameters such as density, cross-link density, fiber diameter, and connectivity number. Their response is linear elastic over a broad range of strains, unlike PV networks that exhibit a gradual increase of the tangent stiffness starting from small strains. NCV networks exhibit much smaller Poisson contraction than any network of same nominal parameters. Interestingly, the strength of NCV networks increases continuously with an increasing degree of nonconvexity of the cells. These exceptional properties render this class of networks of interest in a variety of applications, such as tissue scaffolds, nonwovens, and protective clothing.

A note on the nonlinear mechanical behavior of planar random network structures subjected to in-plane compression

2011 ◽  
Vol 45 (25) ◽  
pp. 2697-2703 ◽  
Author(s):  
Pär E. Åslund ◽  
Per Isaksson
Keyword(s):  
Mechanical Behavior ◽  
Elastic Material ◽  
Random Network ◽  
Material Model ◽  
Element Model ◽  
Material Behavior ◽  
Fiber Networks ◽  
Damage Models ◽  
Plane Compression ◽  
Random Fiber Networks

The microstructural effect on the mechanical behavior of idealized two-dimensional random fiber networks subjected to in-plane compression is studied. A finite element model utilizing nonlinear beam elements assuming a linearly elastic material is developed. On a macroscopic level, random fiber networks often display an asymmetric material behavior when loaded in tension and compression. In mechanical models, this nonlinearity is traditionally described using continuum elastic-inelastic and/or damage models even though using a continuum approach risks overlooking microstructural effects. It is found that even though a linear elastic material model is used for the individual fibers, the network gives a nonlinear response in compression. The nonlinearity is found to be caused by buckling of individual fibers. This reversible nonlinear mechanism is limited in tensile loading and hence offers an alternative explanation to the global asymmetry of random fibernetworks.

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