Bosia Federico, Buehler Markus J, Pugno Nicola M
Department of Theoretical Physics, Università di Torino, Via Pietro Giuria 1, 10125 Torino, Italy.
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Nov;82(5 Pt 2):056103. doi: 10.1103/PhysRevE.82.056103. Epub 2010 Nov 3.
Biological materials such as spider silk display hierarchical structures, from nano to macro, effectively linking nanoscale constituents to larger-scale functional material properties. Here, we develop a model that is capable of determining the strength and toughness of elastic-plastic composites from the properties, percentages, and arrangement of its constituents, and of estimating the corresponding dissipated energy during damage progression, in crack-opening control. Specifically, we adopt a fiber bundle model approach with a hierarchical multiscale self-similar procedure which enables to span various orders of magnitude in size and to explicitly take into account the hierarchical topology of natural materials. Hierarchical architectures and self-consistent energy dissipation mechanisms (including plasticity), both omitted in common fiber bundle models, are fully considered in our model. By considering one of the toughest known materials today as an example application, a synthetic fiber composed of single-walled carbon nanotubes and polyvinyl alcohol gel, we compute strength and specific energy absorption values that are consistent with those experimentally observed. Our calculations are capable of predicting these values solely based on the properties of the constituent materials and knowledge of the structural multiscale topology. Due to the crack-opening control nature of the simulations, it is also possible to derive a critical minimal percentage of plastic component needed to avoid catastrophic behavior of the material. These results suggest that the model is capable of helping in the design of new supertough materials.
诸如蜘蛛丝之类的生物材料呈现出从纳米到宏观的层次结构,有效地将纳米级成分与更大尺度的功能材料特性联系起来。在此,我们开发了一个模型,该模型能够根据弹性 - 塑性复合材料的成分特性、百分比和排列来确定其强度和韧性,并能够在裂纹张开控制中估计损伤进展过程中的相应耗散能量。具体而言,我们采用具有分层多尺度自相似过程的纤维束模型方法,该方法能够跨越大小的多个数量级,并明确考虑天然材料的层次拓扑结构。我们的模型充分考虑了常见纤维束模型中省略的层次结构和自洽能量耗散机制(包括塑性)。以当今已知最坚韧的材料之一为例进行应用,一种由单壁碳纳米管和聚乙烯醇凝胶组成的合成纤维,我们计算出的强度和比能量吸收值与实验观察值一致。我们的计算仅基于组成材料的特性和结构多尺度拓扑知识就能预测这些值。由于模拟的裂纹张开控制性质,还能够得出避免材料发生灾难性行为所需的塑性组分的临界最小百分比。这些结果表明该模型能够有助于新型超强韧性材料的设计。