Strength Distribution and Size Effects for the Fracture of Fibrous Composite Materials

S. L. Phoenix, I. Beyerlein
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Abstract

Random network models have recently been developed in the physics literature to explain the strength and size effect in heterogeneous materials. Applications have included the breakdown of random fuse networks, dielectric breakdown and brittle fracture. Unfortunately, conventional scaling approaches of statistical mechanics have yielded incorrect predictions, and new approaches have been proposed which build on field enhancement occurring near the tips of critical, random clusters together with the statistical theory of extremes. New distributions and size scalings for strength have been proposed and supported through Monte Carlo simulation. Here we consider an idealized, one-dimensional model for the failure of such networks where elements of constant strength may be initially present or absent at random. Our idealized rule for local stress redistribution near breaks reflects features we find in a discrete mechanics model that has limiting forms consistent with continuum theories for cracks. We obtain rigorous asymptotic results for the strength distribution and size effect with constants and exponents that are known. The validity of various analytical approximations in the literature is then discussed.
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纤维复合材料断裂的强度分布及尺寸效应
随机网络模型最近在物理文献中被发展用来解释非均质材料的强度和尺寸效应。应用包括随机熔断器网络的击穿、介质击穿和脆性断裂。不幸的是,统计力学的传统标度方法已经产生了不正确的预测,并且已经提出了新的方法,这些方法建立在临界随机簇尖端附近的场增强以及极端统计理论的基础上。通过蒙特卡罗模拟,提出并支持了新的强度分布和尺寸缩放。在这里,我们考虑一个理想化的一维网络失效模型,其中恒定强度的元素最初可能随机存在或不存在。我们对断裂附近局部应力再分布的理想规则反映了我们在具有与连续介质理论一致的极限形式的离散力学模型中发现的特征。对于已知常数和指数的强度分布和尺寸效应,我们得到了严格的渐近结果。然后讨论了文献中各种解析近似的有效性。
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