Abstract
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.
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Abbreviations
- b :
-
Material constant
- C :
-
Fatigue strength constant
- D :
-
Damage variable
- E :
-
Young’s modulus
- N :
-
Number of cycles at a given stress level
- N f :
-
Number of cycles to failure
- N E :
-
Experimental fatigue life
- W :
-
Elastic strain energy density
- W a :
-
Amplitude of elastic strain energy density
- W Dn :
-
Fatigue driving energy
- W D0 :
-
Initial fatigue driving energy
- Σ :
-
Applied stress level
- σ D :
-
Fatigue driving stress
- σ a :
-
Applied stress amplitude
- ε :
-
Elastic strain
- M :
-
Volume of memorized information
- A m :
-
Memorization rate
- B m :
-
Asymptote
- M :
-
Loading interaction factor
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (Nos. 10802015, 11572077, and 11902062); the Natural Science Foundation of Liaoning Province (No.2019KF0204); the Liaoning Province Graduate Education and Teaching Reform Project (2017); and the State Key Laboratory of Structural Analysis for Industrial Equipment Open Funding, Dalian University of Technology (GZ19204).
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Xu Xu is a postgraduate student in Dalian Jiaotong University, Dalian, China. His research interests include fatigue life calculation and damage mechanics.
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Xu, X., Xue, Q. & He, Y. Nonlinear fatigue life prediction model based on material memory. J Mech Sci Technol 34, 5029–5039 (2020). https://doi.org/10.1007/s12206-020-1107-2
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DOI: https://doi.org/10.1007/s12206-020-1107-2