弹簧网络模型中复合材料的断裂过程

IF 2.2 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS
Haruka Noguchi, Satoshi Yukawa
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引用次数: 0

摘要

我们分析了一个由可断弹簧和不可断弹簧组成的二维弹簧网络模型。计算机模拟显示,该系统在较大应变机制下表现出间歇性应力下降,这些应力下降导致了韧性行为。缩放分析表明,雪崩大小分布显示出一个分界线,这取决于其内部结构。本研究还探讨了簇增长与应力下降之间的关系,结果表明应力下降量呈幂律增长,与裂纹增长相对应。裂纹长度分布也显示出一个分界线,这取决于其内部结构。研究结果表明,簇生长-应力下降关系和裂纹大小分布都是由与内部结构相关的量缩放的,并且验证了缩放簇生长-应力下降关系的指数与缩放裂纹大小分布的指数的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fracture process of composite materials in a spring network model.

We analyze a two-dimensional spring network model comprising breakable and unbreakable springs. Computer simulations showed this system to exhibit intermittent stress drops in a larger strain regime, and these stress drops resulted in ductilelike behavior. The scaling analysis reveals that the avalanche size distribution demonstrates a cutoff, depending on its internal structure. This study also investigates the relationship between cluster growth and stress drop, and we show that the amount of stress drop increases in terms of power law, corresponding to crack growth. The crack length distribution also demonstrates a cutoff depending on its internal structure. The results show that both the cluster growth-stress drop relationship and the crack size distribution are scaled by the quantity related to the internal structure, and the relevance of the exponent that scales the cluster growth-stress drop relationship to the exponent that scales crack size distribution is verified.

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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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