Department of Chemical Engineering, Mid Sweden University, Sundsvall, Sweden 85170.
Phys Rev E. 2017 May;95(5-1):053005. doi: 10.1103/PhysRevE.95.053005. Epub 2017 May 30.
Materials often fail when subjected to stresses over a prolonged period. The time to failure, also called the lifetime, is known to exhibit large variability of many materials, particularly brittle and quasibrittle materials. For example, a coefficient of variation reaches 100% or even more. Its distribution shape is highly skewed toward zero lifetime, implying a large number of premature failures. This behavior contrasts with that of normal strength, which shows a variation of only 4%-10% and a nearly bell-shaped distribution. The fundamental cause of this large and unique variability of lifetime is not well understood because of the complex interplay between stochastic processes taking place on the molecular level and the hierarchical and disordered structure of the material. We have constructed fiber network models, both regular and random, as a paradigm for general material structures. With such networks, we have performed Monte Carlo simulations of creep failure to establish explicit relationships among fiber characteristics, network structures, system size, and lifetime distribution. We found that fiber characteristics have large, sometimes dominating, influences on the lifetime variability of a network. Among the factors investigated, geometrical disorders of the network were found to be essential to explain the large variability and highly skewed shape of the lifetime distribution. With increasing network size, the distribution asymptotically approaches a double-exponential form. The implication of this result is that, so-called "infant mortality," which is often predicted by the Weibull approximation of the lifetime distribution, may not exist for a large system.
材料在长时间承受应力时往往会失效。失效时间,也称为寿命,已知许多材料的寿命存在很大的可变性,特别是脆性和准脆性材料。例如,变异系数达到 100%甚至更高。其分布形状高度偏向于零寿命,意味着大量的早期失效。这种行为与正常强度形成鲜明对比,正常强度的变化仅为 4%-10%,且分布接近钟形。由于分子水平上发生的随机过程与材料的层次结构和无序结构之间的复杂相互作用,寿命的这种大而独特的可变性的根本原因还没有被很好地理解。我们已经构建了纤维网络模型,包括规则和随机的模型,作为一般材料结构的范例。通过这些网络,我们对蠕变失效进行了蒙特卡罗模拟,以建立纤维特性、网络结构、系统大小和寿命分布之间的明确关系。我们发现纤维特性对网络的寿命可变性有很大的、有时是主导的影响。在所研究的因素中,网络的几何不规则性被发现是解释寿命分布大的可变性和高度偏斜形状的关键因素。随着网络尺寸的增加,分布渐近地趋近于双指数形式。这一结果的含义是,所谓的“婴儿死亡率”,通常可以通过寿命分布的威布尔近似来预测,对于一个大系统来说可能不存在。