当前位置: X-MOL 学术Int. J. Fatigue › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A probabilistic average strain energy density approach to assess the fatigue strength of additively manufactured cellular lattice materials
International Journal of Fatigue ( IF 5.7 ) Pub Date : 2023-03-10 , DOI: 10.1016/j.ijfatigue.2023.107601
S. Raghavendra , M. Dallago , F. Zanini , S. Carmignato , F. Berto , M. Benedetti

In cellular lattice materials, fatigue failure assessment using an intricate finite element (FE) model of the entire specimen is neither feasible nor economical. To address this complex task, we propose a multi-step FE analysis methodology that can be employed for these metamaterials. FE models are created using the three-dimensional reconstructions from the μCT scans of the specimen. Subsequently, a combination of the average strain energy density approach and extreme value statistics is used to assess the fatigue behavior of the entire specimen. The methodology was employed on two types of cubic cellular lattice materials and validated using experimental fatigue results.



中文翻译:

一种评估增材制造蜂窝晶格材料疲劳强度的概率平均应变能密度方法

在蜂窝晶格材料中,使用整个样本的复杂有限元 (FE) 模型进行疲劳失效评估既不可行也不经济。为了解决这个复杂的任务,我们提出了一种可用于这些超材料的多步有限元分析方法。有限元模型是使用标本的 μCT 扫描的三维重建创建的。随后,结合平均应变能密度方法和极值统计来评估整个试样的疲劳行为。该方法适用于两种类型的立方晶格材料,并使用实验疲劳结果进行了验证。

更新日期:2023-03-14
down
wechat
bug