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Analysis of the mesoscopic high cycle multiaxial fatigue strength of fcc metals with crystal plasticity and generalized extreme values probability

机译:具有晶体可塑性和广义极值概率的fcc金属的介观高周多轴疲劳强度分析

摘要

Multiaxial high cycle fatigue modeling of materials is an issue that concerns many industrial domains (automotive, aerospace, nuclear, etc) and in wich many progress still remains to be achieved. Several approaches exist in the litterature: invariants, energy, integral and critical plane approaches all of there having their advantages and their drawbacks. These different formulations are usually based on mechanical quantities at the micro or meso scales using localization schemes and strong assumptions to propose simple analytical forms. This study aims to revisit these formulations using a numerical approach based on crystal plasticity modelling coupled with explicit description of microstructure (morphology and texture). This work has three steps: First, 2D periodic digital microstructures based on a random grain sizes distribution are generated. Multiaxial cyclic load conditions corresponding to the fatigue strength at 107 cycles are applied to these microstructures. Then, the mesoscopic Fatigue Indicator Parameters (FIPs), formulated from the different criteria existing in the literature, are identified using the FE calculations of the mechanical fields. These mesoscopic FIP show the limits of the original criteria when it comes to applying them at the grain scale. Finally, a statistical method based on extreme value probability is used to redefine the parameters of these criteria. These new criteria contain the sensitivity of the microstructure variability.
机译:材料的多轴高周疲劳建模是一个涉及许多工业领域(汽车,航空航天,核能等)的问题,并且仍有许多进展有待实现。文学界存在几种方法:不变式,能量,积分平面和临界平面方法都具有其优点和缺点。这些不同的公式通常基于微观或中等尺度的机械量,使用定位方案和强有力的假设来提出简单的分析形式。这项研究旨在使用基于晶体可塑性建模的数值方法,再加上对微观结构(形态和质地)的明确描述,来重新研究这些配方。这项工作包括三个步骤:首先,基于随机晶粒尺寸分布生成2D周期性数字微结构。将与107个循环的疲劳强度相对应的多轴循环载荷条件应用于这些微结构。然后,使用机械场的有限元计算确定由文献中存在的不同标准制定的介观疲劳指标参数(FIP)。这些介观的FIP显示了在晶粒度上应用原始标准的限制。最后,使用基于极值概率的统计方法重新定义这些标准的参数。这些新标准包含了微结构变异性的敏感性。

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