期刊
INTERNATIONAL JOURNAL OF FATIGUE
卷 92, 期 -, 页码 147-158出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ijfatigue.2016.06.021
关键词
Experiments; Probabilistic model; Highly loaded regions; High cycle fatigue
资金
- Swedish Energy Agency Authority through the TURBOPOWER initiative within the COMP10 project
In this paper, new probabilistic HCF evaluation models based on the surface and the sub-surface region is presented. The sub-surface model stem from the hypothesis that the highest fatigue risk depends on the loading in a region slightly below the free surface area. There, the materials microstructural barriers must be overcome by fatigue crack propagation. The size of the region with high load below the surface affects the fatigue risk. The predictive capability of the new proposed HCF model is studied along with comparisons to other state of the art HCF probabilistic models. Fatigue data originating from different geometries and materials conducted at different loading modes, rotating bending and uniaxial loading is used for the analysis. The investigation performed in this work indicate that the new proposed models increase the prediction accuracy and hence predictive capability. (C) 2016 Published by Elsevier Ltd.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据