Detecting local spots in network materials prone to mechanical failure

PAMM Pub Date : 2023-11-21 DOI:10.1002/pamm.202300240
Zhao Wu, Bernd Markert, F. Bamer
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Abstract

The prediction of the onset of fracture is a challenging issue in the mechanics of disordered materials. In this contribution, we show that the fracture process in network glasses, such as silica glass, turns out to be a complex phenomenon that originates from specific spots that have the size of a few hundred atoms only. We apply pure shear deformation to identify local rearrangement spots prone to material damage. These spots are analyzed using stress drop steps, originally used for densely packed disordered systems.
检测网络材料中易发生机械故障的局部斑点
预测断裂的发生是无序材料力学中一个具有挑战性的问题。在这篇论文中,我们展示了网络玻璃(如硅玻璃)的断裂过程原来是一个复杂的现象,它源于仅有几百个原子大小的特定点。我们利用纯剪切变形来识别容易造成材料损坏的局部重排点。这些点采用应力下降步骤进行分析,该步骤最初用于密集无序系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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