Mechanics of Random Fiber Networks: Structure-Properties Relation
Mechanics of Random Fiber Networks: Structure-Properties Relation
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DOI：
10.1007/978-3-030-23846-9_1
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发表时间：
2020-01-01
期刊：
影响因子：
--
通讯作者：
Picu, Catalin R.
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文献类型：
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作者：
Picu, Catalin R.
本章对随机光纤网络的力学进行了概述，重点介绍了结构与性能之间的关系。讨论首先对纤维的类型进行分类，包括热纤维和非热纤维，以及在工程和生物网络中常见的交联物类型。在此基础上，给出了网络的分类。介绍了用于描述网络结构的参数以及密度、平均纤维段长度和交联度等量之间的几何关系。介绍了用不同类型的网络材料进行的模型和实验所揭示的在拉伸和压缩方面测量的网络的大应变行为。其特点是非线性强、整体响应对网络结构参数的敏感性大、泊松效应大。网络的强度是在有和没有预先存在裂纹的结构的背景下讨论的。结果表明，强度与纤维的性质无关，而取决于交联剂的密度和强度，以及平均纤维段长度。最后，对纤维间粘结相互作用的网络结构和力学行为进行了评价。这些是由附着力的强度控制的。在具有较强粘附性和相对较细的纤维的网络中，纤维自组织导致形成纤维束的细胞网络。这样的蜂窝网络是稳定的，并且具有与单个纤维的交联网性质相似的力学行为。这一讨论展示了各种网络结构可以获得的广泛的力学行为，暗示了光纤网络在许多应用中的实用性。
This chapter presents an overview of the mechanics of random fiber networks with emphasis on the structure-properties relationship. The discussion begins with a classification of the types of fibers, including thermal and athermal fibers, and the types of crosslinks commonly encountered in engineered and biological networks. Further, a classification of networks is presented. The parameters used to describe the network structure are introduced along with geometric relations between quantities such as the density, mean fiber segment length, and crosslink density. The large strains behavior of networks measured in tension and compression, as revealed by models and experiments performed with various types of network materials, is presented. This is characterized by strong non-linearity, large sensitivity of the overall response to network structural parameters, and a large Poisson effect. The strength of networks is discussed in the context of structures with and without pre-existing cracks. It is shown that the strength is independent of the fiber properties and depends on the density and strength of the crosslinks, as well as on the mean fiber segment length. Finally, the structure and mechanical behavior of networks with inter-fiber adhesive interactions are evaluated. These are controlled by the strength of adhesion. In networks with strong adhesion and relatively thin fibers, the fibers self-organize leading to the formation of a cellular network of fiber bundles. Such cellular networks are stable and have a mechanical behavior qualitatively similar to that of crosslinked networks of individual fibers. This discussion demonstrates the broad range of mechanical behaviors that can be obtained with various network structures, hinting to the usefulness of fiber networks in many applications.