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PAPER: Disordered systems, classical and quantum Network approach towards understanding the crazing in glassy amorphous polymers

机译:纸质:无序的系统,古典和量子网络方法,了解玻璃无定形聚合物的裂缝

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We have used molecular dynamics to simulate an amorphous glassy polymer with long chains to study the deformation mechanism of crazing and associated void statistics. The Van der Waals interactions and the entanglements between chains constituting the polymer play a crucial role in crazing. Thus, we have reconstructed two underlying weighted networks, namely, the Van der Waals network and the entanglement network from polymer configurations extracted from the molecular dynamics simulation. Subsequently, we have performed graph-theoretic analysis of the two reconstructed networks to reveal the role played by them in the crazing of polymers. Our analysis captured various stages of crazing through specific trends in the network measures for Van der Waals networks and entanglement networks. To further corroborate the effectiveness of network analysis in unraveling the underlying physics of crazing in polymers, we have contrasted the trends in network measures for Van der Waals networks and entanglement networks in the light of stress-strain behaviour and voids statistics during deformation. We find that the Van der Waals network plays a crucial role in craze initiation and growth. Although, the entanglement network was found to maintain its structure during craze initiation stage, it was found to progressively weaken and undergo dynamic changes during the hardening and failure stages of crazing phenomena. Our work demonstrates the utility of network theory in quantifying the underlying physics of polymer crazing and widens the scope of applications of network science to characterization of deformation mechanisms in diverse polymers.
机译:我们使用了分子动力学来模拟具有长链的非晶玻璃聚合物,以研究裂纹和相关空隙统计的变形机制。 van der waals相互作用和构成聚合物的链之间的缠结在裂缝中起着至关重要的作用。因此,我们已经重建了两个基础加权网络,即Van der Waals网络和从分子动力学模拟中提取的聚合物配置中的缠绕网络。随后,我们已经执行了两个重建网络的图形 - 理论分析,以揭示它们在聚合物的裂缝中扮演的作用。我们的分析通过Van der Waals网络和纠缠网络的网络措施中的特定趋势捕获了各种裂缝的阶段。为了进一步证实网络分析在解开聚合物中裂口的潜在物理学中的网络分析的有效性,在变形期间,在压力 - 应变行为和空隙统计中,对范德莱斯网络和纠缠网络的网络措施对比。我们发现van der Waals网络在热潮启动和增长中起着至关重要的作用。虽然,发现纠缠网络在热潮启动阶段期间保持其结构,但发现在裂化现象的硬化和失效阶段期间发现逐渐削弱和经历动态变化。我们的工作展示了网络理论在量化聚合物裂缝的潜在物理学中的效用,并扩大了网络科学应用范围,以不同聚合物的变形机制表征。

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