个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:力学与航空航天学院
学科:计算力学. 工程力学. 固体力学
办公地点:工程力学系-205
联系方式:0411-84706172
电子邮箱:heyiqian@dlut.edu.cn
Nonlinear fatigue life prediction model based on material memory
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论文类型:期刊论文
发表时间:2021-08-23
发表刊物:JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
卷号:34
期号:12
页面范围:5029-5039
ISSN号:1738-494X
关键字:Fatigue driving energy; Life estimation; Material memory; Nonlinear damage model; Variable amplitude loading
摘要:New nonlinear fatigue damage accumulation model is established on the basis of material memory theory and fatigue driving energy damage parameters to evaluate high-cycle fatigue life under multilevel variable amplitude loading. The loading interaction factor is constructed on the basis of damage degree and then the model is modified to consider the effect of loading interaction on fatigue damage accumulation. The two proposed models are convenient for calculation and have only two parameters that can be easily identified through experiments. In accordance with the test data of aluminum alloy Al-2024-T42, titanium alloy Ti-6Al-4V, nodular cast iron GS61, Q235B welded joint, and hot-rolled 16Mn steel, the two models developed in this study have been verified to predict fatigue life effectively. For multilevel loading, the modified model achieves higher prediction accuracy and its results are closer to the actual test data compared with those of the other models.