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首页> 外文期刊>Engineering Fracture Mechanics >Axial-torsional high-cycle fatigue of both coarse-grained and nanostructured metals: A 3D cohesive finite element model with uncertainty characteristics
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Axial-torsional high-cycle fatigue of both coarse-grained and nanostructured metals: A 3D cohesive finite element model with uncertainty characteristics

机译:粗粒颗粒和纳米结构金属的轴向扭转高周疲劳:具有不确定性特征的3D内聚有限元模型

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摘要

In this study the combined axial-torsional fatigue life and damage evolution of both coarse-grained (CG) and nanostructured metals are modeled by a 3D cohesive finite element method with uncertainty characteristics. To account for the random nature of metal fatigue, we combine the Monte Carlo simulation with the three-parameter Weibull statistical distribution function. For both CG and nanostructured metals, we find that the axial load levels have greater effects than random fields on the amplitude of specimen rotation. Compared with the CG metals, the nanostructured metals are found to exhibit an improved fatigue resistance, for the reason that their damage process initiates from the subsurface beneath the nanograined layer and then extends to the exterior surface. Good agreements between the numerical results and experimental data are also observed. It shows the applicability of the 3D cohesive finite element method for the analysis of damage evolution and prediction of fatigue life in these two classes of metals.
机译:在这项研究中,粗粒(CG)和纳米结构金属的组合轴向抗疲劳寿命和损伤演化由具有不确定性特征的3D内聚有限元方法进行建模。要考虑金属疲劳的随机性,我们将蒙特卡罗模拟与三参数威布尔统计分布函数相结合。对于CG和纳米结构金属,我们发现轴向载荷水平比样本旋转幅度上的随机场具有更大的效果。与CG金属相比,发现纳米结构金属具有改善的疲劳性,因为它们的损伤过程从纳米甲基层下面的地下启动,然后延伸到外表面。还观察到数值结果和实验数据之间的良好协议。它显示了3D粘性有限元方法的适用性,用于分析这两类金属中疲劳寿命的损伤演化和预测。

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