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Fast characterization of fatigue properties of an anisotropic metallic material: application to a puddled iron from a nineteenth century French railway bridge

机译:各向异性金属材料的疲劳性能的快速表征:从十九世纪法国铁路桥上施加泥浆

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Largely used as main material in railway riveted bridges during the second half of the nineteenth century, the puddled iron characterizes for having an anisotropic behaviour due to the large amount of non metallic inclusions that it posses. Its mechanical characterization is thus difficult. Since these ancient structures have supported variable cyclic loadings at least for a century, the determination of the puddled iron's fatigue properties becomes crucial to their maintenance. The self-heating method is proposed in this paper to accomplish this task. The obtained experimental self-heating curves show dispersion non observed in homogeneous materials, this phenomenon is explained by the lack of determination of the representative elementary volume of the puddled iron. However, this data gives us important information such as the minimum and maximum boundaries of the mean fatigue limit for several orientations. A two-scale probabilistic model for high cycle fatigue is also used to represent the dispersion on the experimental data by using Weibull's distribution law to describe several characteristics of each site where the microplasticity occurs. The influence of such parameters and the limitations of the model are also studied.
机译:在十九世纪下半叶的铁路铆接桥梁主要用作主要材料,这种铁的特征在于它具有它的大量非金属夹杂物,具有各向异性的行为。因此难以实现其机械表征。由于这些古老的结构至少支撑了一个世纪的可变循环载荷,因此挤压铁的疲劳性能的确定对其维护至关重要。本文提出了自加热方法来完成这项任务。所获得的实验自加热曲线显示在均匀材料中观察到的分散体,通过缺乏挤渣铁的代表性基本体积的测定来解释这种现象。然而,此数据为我们提供了重要信息,例如若干方向的平均疲劳极限的最小和最大边界。对于高循环疲劳的两种概率模型也用于通过使用威布尔分配法描述实验数据对实验数据的分散来描述微泡性能发生的每个部位的几个特征。还研究了这种参数的影响和模型的局限性。

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