Multi-Stage Hybrid Loading Fatigue Life Prediction Study

被引:0
作者
Yang, Bowen [1 ]
Wu, Zhen [1 ]
Chen, Hao [1 ]
Zhang, Zhange [2 ]
Huo, Junzhou [1 ]
机构
[1] Dalian Univ Technol, Sch Mech Engn, Dalian 116024, Peoples R China
[2] Dalian Polytech Univ, Sch Mech Engn, Dalian 116024, Peoples R China
来源
JOURNAL OF ENGINEERING MATERIALS AND TECHNOLOGY-TRANSACTIONS OF THE ASME | 2024年 / 146卷 / 03期
基金
中国国家自然科学基金;
关键词
load ratio; mixed loading; Manson-Halford model; fatigue life prediction; constitutive relations; fracture; materials processing; mechanical behavior; MODEL;
D O I
10.1115/1.4064530
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Fatigue is a damage accumulation process in which material properties are continuously deteriorated and degraded under cyclic loading. Damage accumulation analysis plays a key role in preventing the occurrence of fatigue failure, and the damage evolution mechanism is an important parameter of interest for fatigue behavior. The fatigue cumulative damage life prediction model is established by focusing on the damage evolution mechanism, and an improved Manson-Harford cumulative damage nonlinear model is developed to calculate fatigue damage life by considering the effect of load ratio of multi-stage loading on fatigue life. A fatigue life prediction method considering high-low cycles and multi-stage mixed loads is proposed. The fatigue life prediction accuracy of the model is verified by fatigue tests on structural samples. The accuracy of the fatigue life prediction error is the highest among similar models under the same test, the model proposed in this paper.
引用
收藏
页数:7
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