Bosia Federico, Abdalrahman Tamer, Pugno Nicola M
Department of Physics and "Nanostructured Interfaces and Surfaces" Centre, Università di Torino , Via P. Giuria 1, 10125 Torino, Italy.
Langmuir. 2014 Feb 4;30(4):1123-33. doi: 10.1021/la403497z. Epub 2014 Jan 21.
We present a theoretical and numerical analysis of the mechanical behavior of self-healing materials using an analytical model and numerical calculations both based on a Hierarchical Fiber Bundle Model, and applying them to graphene- or carbon-nanotube-based materials. The self-healing process can be described essentially through a single parameter, that is, the healing rate, but numerical simulations also highlight the influence of the location of the healing process on the overall strengthening and toughening of the material. The role of hierarchy is discussed, showing that full-scale hierarchical structures can in fact acquire more favorable properties than smaller, nonhierarchical ones through interaction with the self-healing process, thus inverting the common notion in fracture mechanics that specimen strength increases with decreasing size. Further, the study demonstrates that the developed analytical and numerical tools can be useful to develop strategies for the optimization of strength and toughness of synthetic bioinspired materials.
我们使用基于分层纤维束模型的解析模型和数值计算方法，对自修复材料的力学行为进行了理论和数值分析，并将其应用于基于石墨烯或碳纳米管的材料。自修复过程本质上可以通过一个参数来描述，即愈合速率，但数值模拟也突出了愈合过程的位置对材料整体强化和增韧的影响。讨论了层次结构的作用，结果表明，全尺寸层次结构实际上可以通过与自修复过程的相互作用，比更小的非层次结构获得更有利的性能，从而颠覆了断裂力学中试样强度随尺寸减小而增加的普遍观念。此外，该研究表明，所开发的解析和数值工具可用于制定优化合成生物启发材料强度和韧性的策略。
