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Statistical Length Scale in Weibull Strength Theory and Its Interaction with Other Scaling Lengths in Quasibrittle Failure

机译:苏布尔强度理论的统计长度尺度及其与Quasibrittr失败中其他缩放长度的相互作用

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The main result of the paper is the introduction of a statistical length scale into the Weibull theory. The classical Weibull strength theory is self-similar; a feature that can be illustrated by the fact that the strength dependence on structural size is a power law (a straight line in double logarithmic plot). Therefore, the theory predicts unlimited strength for extremely small structures. In the paper, we show that such behavior is a direct implication of the assumption that the structural elements have independent random strengths. We show that by introduction of statistical dependence in a form of spatial autocorrelation, the size dependent strength becomes bounded at the small size extreme. The local random strength is phenomenologically modeled as a random field with a certain autocorrelation function. In such model, the autocorrelation length plays a role of a statistical length scale. The theoretical part is followed by applications in fiber bundle models, chains of fiber bundle models and stochastic finite element method in the context of quasibrittle failure.
机译:本文的主要结果是将统计长度缩放引入Weibull理论。古典的威伯力理论是自我相似的;可以通过对结构大小的强度依赖性是权力法(双对数图中的直线)来说明的特征。因此,该理论预测了极小的结构的无限强度。在论文中,我们表明这种行为是对假设结构元素具有独立的随机强度的假设的直接意义。我们表明,通过以空间自相关的形式引入统计依赖性,尺寸依赖性强度在小尺寸极端的界限下变得界定。局部随机强度是具有特定自相关函数的随机场上的显然模拟。在这种模型中,自相关长度起到统计长度尺度的作用。理论部分之后是纤维束模型中的应用,纤维束模型链和随机有限元方法在Quasibrits失败的背景下。

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