蠕变雪崩的不平衡性可预测即将发生的故障

IF 2.8 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2024-10-10 DOI:10.1016/j.physa.2024.130148
Tarun Ram Kanuri , Subhadeep Roy , Soumyajyoti Biswas
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引用次数: 0

摘要

我们对在非零温度和恒定外部拉伸应力作用下断裂的平均场纤维束模型进行了数值研究。单根纤维因蠕变动态而断裂,最终导致灾难性的断裂。我们通过计算洛伦兹函数和两个不平等指数--基尼(g)指数和加尔各答(k)指数--来量化由此产生的雪崩的大小变化。我们发现,当动力学经历间歇性雪崩时,这两个指数会在故障点之前交叉。对于连续破坏动力学(每个时间步长内断裂的纤维数量有限),交叉不会发生。然而,在这一阶段,通常的预测方法,即最小应变率时间(纤维断裂率最小的时间)与失效时间之间的线性关系是成立的。连续动态和间歇动态之间的界限非常接近温度-应力相空间中两个指数交叉和不交叉之间的界限,这两个界限都来自独立的分析计算,并通过数值模拟得到了验证。
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Inequality of creep avalanches can predict imminent breakdown
We have numerically studied a mean-field fiber bundle model of fracture at a non-zero temperature and acted upon by a constant external tensile stress. The individual fibers fail due to creep-like dynamics that lead up to a catastrophic breakdown. We quantify the variations in sizes of the resulting avalanches by calculating the Lorenz function and two inequality indices – Gini (g) and Kolkata (k) indices – derived from the Lorenz function. We show that the two indices cross just prior to the failure point when the dynamics goes through intermittent avalanches. For a continuous failure dynamics (finite numbers of fibers breaking at each time step), the crossing does not happen. However, in that phase, the usual prediction method i.e., linear relation between the time of minimum strain-rate (time at which rate of fiber breaking is the minimum) and failure time, holds. The boundary between continuous and intermittent dynamics is very close to the boundary between crossing and non-crossing of the two indices in the temperature-stress phase space, both drawn from independent analytical calculations and are verified by numerical simulations.
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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