首页> 外文会议>ASME Pressure Vessels and Piping Division/K-PVP conference;PVP2010 >FATIGUE MODELLING OF A NOTCHED GEOMETRY UNDER VARIABLE AMPLITUDE LOADING SUPPORTED ON ELASTOPLASTIC FEM ANALYSES
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FATIGUE MODELLING OF A NOTCHED GEOMETRY UNDER VARIABLE AMPLITUDE LOADING SUPPORTED ON ELASTOPLASTIC FEM ANALYSES

机译:弹塑性有限元分析支持的可变振幅载荷下刻槽几何的疲劳建模

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Despite intensive research has been carried out to understand the fatigue behavior of steel notched geometries, under variable amplitude loading, no definite and general robust models have been derived so far. Therefore, any effort to increment the knowledge in the topic is welcome. Within this premise, it is proposed an assessment of existing variable amplitude data, which has been derived by authors for a notched geometry, made from a low carbon pressure vessel steel (P355NL1), within the local approaches and linear damage summation framework, and supported by elastoplastic finite element analyses. Several variable amplitude loading are selected and analyzed using alternative configurations of kinematic hardening plasticity models (e.g. Chaboche's model with distinct constants superposition). The predictions are assessed using available experimental data as well as with predictions made with simplified empiric elastoplastic tools. This paper highlights the difficulties on performing such elastoplastic analysis and compares the obtained results with those obtained using more classical tools for elastoplastic analysis. Fatigue predictions based on elastoplastic analysis made using the Chaboche's model, with a finite element model, were significantly more accurate than predictionsbased on simplified elastoplastic analysis. The proposed information has important practical relevance.
机译:尽管已经进行了深入的研究来理解带缺口几何形状的钢的疲劳行为,但在可变振幅载荷下,到目前为止,还没有得出确定的和通用的鲁棒模型。因此,欢迎您为增加该主题的知识而做出的任何努力。在此前提下,建议对现有的可变振幅数据进行评估,该数据已由作者针对局部几何方法和线性损伤求和框架中的低碳压力容器钢(P355NL1)制成的缺口几何图形得出,并得到了支持通过弹塑性有限元分析。使用运动硬化可塑性模型的其他配置(例如具有明显常数叠加的Chaboche模型),选择并分析了几种可变振幅载荷。使用可用的实验数据以及使用简化的经验弹塑性工具进行的预测来评估预测。本文重点介绍了执行此类弹塑性分析的困难,并将获得的结果与使用更经典的弹塑性分析工具获得的结果进行了比较。使用Chaboche模型和有限元模型进行的基于弹塑性分析的疲劳预测比预测准确得多 基于简化的弹塑性分析。提议的信息具有重要的实际意义。

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