期刊
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS
卷 90, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.euromechsol.2021.104353
关键词
Multiaxial fatigue; Mean stress effect; Non-proportional hardening; Life prediction; Strain energy density
类别
资金
- Fundamental Research Funds for the Central Universities [JB210412]
- Natural Science Basic Research Plan in Shaanxi Province of China [2019JQ-353]
- National Natural Science Foundation of China [51601221]
- Innovation Fund of Xidian University
A new generalized strain energy density-based life prediction model was proposed, which showed improved accuracy and reliability in fatigue life prediction by introducing weight index and considering factors such as mean stress. The model was systematically checked using test data and outperformed three commonly-used life prediction models in terms of accuracy and reliability.
In the present paper, a new generalized strain energy density-based life prediction model was proposed by analyzing the drawbacks of the commonly-used fatigue life prediction criteria. In the proposed model, the critical plane was defined as the maximum shear strain energy density plane with the larger normal strain energy density. A weight index was introduced in this model to take into account the different influences of the normal and shear strain energy components on fatigue life. The maximum normal stress and shear mean stress were both introduced to consider the effects of mean stress. Besides, the maximum normal stress can also be used to account for the reduction of fatigue life under non-proportional loading. The step-by-step procedures were presented to determine the orientation of the critical plane as well as the damage parameters contained in the proposed model. The accuracy and reliability of the proposed model were systematically checked by using about 280 test data through testing 8 kinds of materials under both proportional and non-proportional loadings with zero/nonzero mean stresses. Comparisons with three commonly-used life prediction models showed that the proposed model has highest life prediction accuracy and reliability.
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