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作为随机熔丝网络中灾难性故障前兆的局部损伤的突发模式。

Emergent patterns of localized damage as a precursor to catastrophic failure in a random fuse network.

作者信息

Lennartz-Sassinek S, Zaiser M, Main I G, Manzato C, Zapperi S

机构信息

School of Engineering and School of Geosciences, University of Edinburgh, Edinburgh, EH9 3JL, United Kingdom.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Apr;87(4):042811. doi: 10.1103/PhysRevE.87.042811. Epub 2013 Apr 18.

Abstract

We study the failure of disordered materials by numerical simulations of the random fuse model. We identify emergent patterns of localized damage prior to catastrophic failure by statistically averaging the density of damage around the eventual failure nucleation point. The resulting pattern depends on fracture density and obeys the same scaling relations as would be expected for the stress field generated by a critical crack nucleating in a finite, disorder-free effective medium of varying size. The growth of this critical crack absorbs preexisting clusters according to a well-defined scaling relation. Unfortunately, in single model runs such precursory signals are not obvious. Our results imply that reliable and accurate prediction of failure in time-independent, microscopically brittle random materials in a real case is inherently problematic, and degrades with system size.

摘要

我们通过随机熔断模型的数值模拟来研究无序材料的失效。我们通过对最终失效成核点周围损伤密度进行统计平均,识别出灾难性失效之前局部损伤的涌现模式。所得模式取决于断裂密度,并且遵循与在不同尺寸的有限、无缺陷有效介质中临界裂纹成核所产生的应力场预期相同的标度关系。这个临界裂纹的扩展根据明确的标度关系吸收先前存在的簇。不幸的是,在单个模型运行中,这种先兆信号并不明显。我们的结果表明,在实际情况下,对与时间无关、微观上脆性的随机材料的失效进行可靠且准确的预测本质上是有问题的,并且会随着系统尺寸的增大而变差。

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