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首页> 外文期刊>Facta universitatis - series: Architecture and Civil Engineering >Algorithm for determination of S-N curves of the structural elements subjected to cyclic loading
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Algorithm for determination of S-N curves of the structural elements subjected to cyclic loading

机译:确定循环荷载作用下结构元件的S-N曲线的算法

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摘要

Fatigue life prediction of structural elements subjected to cyclic loading is usually performed using S-N curves, obtained from the experimental data from fatigue tests. However, in some cases the samples do not exhibit failure, due to reaching the predetermined number of cycles, failure of a non-relevant segment or terminating the test because of some other reason. These samples are usually referred to as runouts, and the data obtained from them could be used for determination of S-N curves as well. In this paper, the algorithm based on Maximum Likelihood method is proposed for the determination of S-N curves from experimental data that contain runouts. Following the algorithm, a MATLAB code was written and the verification was performed using the experimental data from the literature. The results showed that it could be successfully used for taking into account the runouts in the process of determination of S-N model parameters. It was concluded that the inclusion of runouts could significantly influence the predicted fatigue life, especially at the lower stress levels.
机译:通常使用从疲劳测试的实验数据获得的S-N曲线来预测承受循环载荷的结构元件的疲劳寿命。但是,在某些情况下,由于达到预定的循环次数,样品不会显示出故障,不相关段的故障或由于某些其他原因而终止测试。这些样本通常称为跳动,并且从它们中获得的数据也可以用于确定S-N曲线。本文提出了一种基于最大似然法的算法,可以从含跳动的实验数据中确定S-N曲线。遵循该算法,编写了MATLAB代码,并使用来自文献的实验数据进行了验证。结果表明,该方法可以成功地用于确定S-N模型参数过程中的跳动。结论是,包含跳动会显着影响预计的疲劳寿命,尤其是在较低的应力水平下。

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