Random fiber networks with inclusions: The mechanism of reinforcement
Random fiber networks with inclusions: The mechanism of reinforcement
复制标题
带有夹杂物的随机纤维网络：增强机制
DOI：
10.1103/physreve.99.063001
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发表时间：
2019
影响因子：
2.4
通讯作者：
Picu, R. C.
中科院分区：
文献类型：
--
作者：
Islam, M. R.;Picu, R. C.
本文研究了无热随机纤维网络嵌入颗粒夹杂的力学行为。被认为是与网络的平均段长度的填料尺寸相当的复合材料。夹杂物是随机分布在网络中的各种体积分数，并在纤维刚性粘结到填料，并在其中没有这样的粘接施加的情况下分别进行了研究。在夹杂物的存在下，小的应变模量增加，而网络的应变模量的能力相对于未填充的网络的情况下降低。由填料引起的增强在松散的细丝的稀疏网络中是最明显的，所述细丝在未填充状态下以弯曲为主的模式变形。随着未填充网络密度或纤维弯曲刚度的增加，填充效应迅速减弱。填料导致从柔软的，弯曲为主的，到更硬的，拉伸为主的，变形模式的网络，过渡，这是主要负责观察到的整体钢筋。监禁，即，填充物对网络运动学的限制导致了这种转变。这些结果提供了一个理由，观察到的差异，在稀疏与密集交联网络在给定的填充分数的增强，并提供指导网络为基础的材料的进一步发展。
The mechanical behavior of athermal random fiber networks embedding particulate inclusions is studied in this work. Composites in which the filler size is comparable with the mean segment length of the network are considered. Inclusions are randomly distributed in the network at various volume fractions, and cases in which fibers are rigidly bonded to fillers and in which no such bonding is imposed are studied separately. In the presence of inclusions, the small strain modulus increases, while the ability of the network to strain stiffen decreases relative to the unfilled network case. The reinforcement induced by fillers is most pronounced in sparse networks of floppier filaments that deform in the bending-dominated mode in the unfilled state. As the unfilled network density or the bending stiffness of fibers increases, the effect of filling diminishes rapidly. Fillers lead to a transition from the soft, bending-dominated, to the stiffer, stretching-dominated, deformation mode of the network, a transition which is primarily responsible for the observed overall reinforcement. The confinement, i.e., the restriction on network kinematics imposed by fillers, causes this transition. These results provide a justification for the observed difference in reinforcement obtained in sparsely versus densely cross-linked networks at a given filling fraction and provide guidance for the further development of network-based materials.