Linking local microstructure to fracture location in a two-dimensional amorphous solid under isotropic strain†

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Soft Matter Pub Date : 2024-10-22 DOI:10.1039/D4SM00486H
Max Huisman, Axel Huerre, Saikat Saha, John C. Crocker and Valeria Garbin
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Abstract

Brittle fracturing of materials is common in natural and industrial processes over a variety of length scales. Knowledge of individual particle dynamics is vital to obtain deeper insight into the atomistic processes governing crack propagation in such materials, yet it is challenging to obtain these details in experiments. We propose an experimental approach where isotropic dilational strain is applied to a densely packed monolayer of attractive colloidal microspheres, resulting in fracture. Using brightfield microscopy and particle tracking, we examine the microstructural evolution of the monolayer during fracturing. Furthermore, we propose and test a parameter termed Weakness that estimates the likelihood for particles to be on a crack line, based on a quantified representation of the microstructure in combination with a machine learning algorithm. Regions that are more prone to fracture exhibit an increased Weakness value, however the exact location of a crack depends on the nucleation site, which cannot be predicted a priori. An analysis of the microstructural features that most contribute to increased Weakness values suggests that local density is more important than orientational order. Our methodology and results provide a basis for further research on microscopic processes during the fracturing process.

Abstract Image

将各向同性应变下二维无定形固体的局部微观结构与断裂位置联系起来。
材料的脆性断裂常见于各种长度尺度的自然和工业过程中。要深入了解此类材料中裂纹扩展的原子过程,了解单个粒子的动态至关重要,但要在实验中获得这些细节却很困难。我们提出了一种实验方法,即在具有吸引力的胶体微球密集单层上施加各向同性的扩张应变,从而导致断裂。利用明场显微镜和粒子跟踪技术,我们研究了单层微球在断裂过程中的微观结构演变。此外,我们还提出并测试了一个名为 "薄弱度 "的参数,该参数基于微观结构的量化表示并结合机器学习算法,可估算颗粒位于裂纹线上的可能性。更容易断裂的区域显示出更高的弱度值,但裂纹的确切位置取决于成核点,而成核点是无法事先预测的。对最有助于增加弱度值的微观结构特征的分析表明,局部密度比取向顺序更重要。我们的方法和结果为进一步研究压裂过程中的微观过程奠定了基础。
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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来源期刊
Soft Matter
Soft Matter 工程技术-材料科学:综合
CiteScore
6.00
自引率
5.90%
发文量
891
审稿时长
1.9 months
期刊介绍: Where physics meets chemistry meets biology for fundamental soft matter research.
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