Moretti Paolo, Dietemann Bastien, Esfandiary Nosaibeh, Zaiser Michael
Department of Materials Science, WW8-Materials Simulation, FAU Universität Erlangen-Nürnberg, Dr.-Mack-Straße 77, 90762, Fürth, Germany.
School of Mechanics and Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
Sci Rep. 2018 Aug 14;8(1):12090. doi: 10.1038/s41598-018-30539-x.
We study precursors of failure in hierarchical random fuse network models which can be considered as idealizations of hierarchical (bio)materials where fibrous assemblies are held together by multi-level (hierarchical) cross-links. When such structures are loaded towards failure, the patterns of precursory avalanche activity exhibit generic scale invariance: irrespective of load, precursor activity is characterized by power-law avalanche size distributions without apparent cut-off, with power-law exponents that decrease continuously with increasing load. This failure behavior and the ensuing super-rough crack morphology differ significantly from the findings in non-hierarchical structures.
我们研究分层随机熔断网络模型中的失效前兆,该模型可被视为分层(生物)材料的理想化模型,其中纤维组件通过多级(分层)交联结合在一起。当此类结构加载至失效时,前兆雪崩活动模式呈现出一般的尺度不变性:无论载荷如何,前兆活动的特征是幂律雪崩大小分布且无明显截止,幂律指数随载荷增加而持续减小。这种失效行为以及随之产生的超粗糙裂纹形态与非分层结构中的发现显著不同。