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首页> 外文期刊>MATEC Web of Conferences >Study of load history effects on the high cycle fatigue properties of high-strength low-alloy steel from self-heating measurements
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Study of load history effects on the high cycle fatigue properties of high-strength low-alloy steel from self-heating measurements

机译:通过自热测量研究载荷历史对高强度低合金钢高周疲劳性能的影响

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In the context of high cycle fatigue (HCF), the experimental characterization of the fatigue properties is often performed by using specimens in a virgin state (i.e., without preliminary loading), and with a constant stress amplitude for each specimen. However, the load history applied to a real structure is more complex and the fatigue life prediction remains a difficult task because of the time dedicated to the classical fatigue tests (i.e., the specimen is loaded until failure) and the dispersion of fatigue lives. The load history effects on the HCF properties is characterized using an alternative method: self-heating measurements under cyclic loadings. This method is based on the observation of the mean steady state temperature evolution of a specimen under a successive series of cyclic loadings with increasing stress amplitude for each loading series. A probabilistic two-scale model was developed from the self-heating method able to predict HCF properties. Some self-heating tests are performed to study the influence of a load history effects. It seems that the plasticity is the most influential factor. So, the evolution of the plasticity is observed at the surface of the material under cyclic loading. There is a significant evolution in function of the plastic pre-strain.
机译:在高周疲劳(HCF)的情况下,通常通过使用原始状态(即没有初步加载)的样本来对疲劳特性进行实验表征,并且每个样本的应力幅度都恒定。然而,由于要花时间进行经典的疲劳试验(即,将试样加载直至失效)并分散疲劳寿命,因此施加到实际结构上的载荷历史更加复杂,并且疲劳寿命的预测仍然是一项艰巨的任务。负载历史记录对HCF特性的影响使用另一种方法来表征:循环负载下的自热测量。该方法基于观察到在连续一系列连续载荷下试样的平均稳态温度演变,并且每个载荷系列的应力幅度都在增加。从能够预测HCF特性的自热方法开发了一个概率两尺度模型。进行了一些自热测试,以研究负荷历史效应的影响。似乎可塑性是最有影响力的因素。因此,在循环载荷下在材料表面观察到可塑性的演变。塑料预应变的功能有了很大的发展。

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