A nonlinear lifetime prediction method for un‐ and low alloyed steels by damage determination based on non‐destructive measurement techniques

Fabian Weber, Moritz Maul, Florian Juner, Peter Starke
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Abstract

Materials used in nuclear power plants are exposed to cyclic loading, which is why the understanding of fatigue behaviour is of great importance. Because of high time investments and resulting increased costs, Lifetime Prediction Methods, which significantly reduce the amount of specimen, have already been developed. Within this paper, the Lifetime Prediction Method MiDAcLifeincr is presented, which enables a determination of a trend S‐N curve in the High‐Cycle‐Fatigue‐regime based on only one fatigue test and the combination of conventional fatigue testing with NDT‐related measurement techniques. The process‐orientated monitoring of the cyclic deformation behaviour provides the basis for the time‐ and cost‐effective provision of fatigue data. Compared with previous methods, the consideration of variable loading is an essential aspect of the research application. The test material is a 20MnMoNi5‐5 steel, the results of which are extended to include other steels for validation reasons.
基于非破坏性测量技术的损伤测定非线性非合金钢和低合金钢寿命预测方法
核电站中使用的材料会受到循环载荷的影响,因此了解其疲劳行为非常重要。由于需要投入大量时间,成本也随之增加,因此已经开发出了寿命预测方法,这种方法可以大大减少试样的数量。本文介绍了寿命预测方法 MiDAcLifeincr,该方法只需进行一次疲劳测试,并将传统疲劳测试与无损检测相关测量技术相结合,即可确定高循环疲劳状态下的 S-N 曲线趋势。以过程为导向的循环变形行为监测为及时、经济地提供疲劳数据奠定了基础。与以前的方法相比,考虑可变加载是研究应用的一个重要方面。测试材料为 20MnMoNi5-5 钢,出于验证原因,测试结果还扩展到其他钢材。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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