A probabilistic Stilssi function for modelling the S-N curves and its application on specimens made of steel S355J2+N
A probabilistic Stilssi function for modelling the S-N curves and its application on specimens made of steel S355J2+N
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DOI：
10.1016/j.ijfatigue.2018.07.041
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发表时间：
2018-12-01
影响因子：
6
通讯作者：
Ummenhofer, Thomas
中科院分区：
文献类型：
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作者：
Caiza, Paul Dario Toasa;Ummenhofer, Thomas
疲劳寿命可以通过 S-N 曲线表示，该曲线描述了直至失效的负载循环与结构中施加的应力范围之间的关系。提供这些曲线有助于工程师以高可靠性估计设计应力水平。 Stussi 提出的非线性函数提供了一种很好的方法来对上述曲线进行建模。然而，他没有提出任何可以以一定概率进行估计的统计分布。此外，Stussi 函数没有考虑跳动及其后续重新测试的影响。 Castillo 等人的威布尔模型。是一种克服这一局限性的统计方法。然而，该方法不能应用于低周疲劳状态下的 S-N 曲线建模。本文将 Weibull 分布与 Stussi 函数相结合来对 S-N 曲线进行建模，并将该方法的特点与 Castillo 等人的 Weibull 模型的特点进行了比较。为了确定两种模型的优点和可用性，提出了一种考虑 S355J2 + N 钢样本实验数据的应用。最后，提出了一些有关疲劳测试计划的建议。
The fatigue life can be represented through S-N curves which describe the relationship between load cycles up to failure and stress range applied in a structure. Providing these curves help the engineers to estimate design stress levels with a high reliability. The nonlinear function proposed by Stussi offers a good approach to model the mentioned curves. However, he did not propose any statistical distribution which allows to make estimations with certain probability. Moreover, the Stussi function does not consider the influence of runouts and their subsequent retests. The Weibull model from Castillo et al. is a statistical method which overcomes this limitation. However, this method cannot be applied to model the S-N curves in the Low Cycle Fatigue regime. In this paper, a Weibull distribution is combined with the Stussi function in order to model the S-N curves, and the characteristics of this proposed method are compared with those of the Weibull model from Castillo et al. In order to establish the advantages and usability of both models, one application considering the experimental data of specimens made of steel S355J2 + N is presented. Finally, some recommendations regarding the planning of fatigue tests are made.