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An improved strength degradation model for fatigue life prediction considering material characteristics

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Abstract

Experimental results show that when the loading sequence of fatigue loads changes, the fatigue cumulative damage prediction based on Miner's rule will have a large error, even as high as 252.83%. In an effort to improve the fatigue life predictions, based on the residual strength degradation rule, a power exponential fatigue equivalent damage model is presented in this paper, which contains two material parameters. Experimental data were cited to verify the residual strength model, and the statistical results showed that this model is capable of describing the residual strength degradation of materials. Furthermore, a fatigue cumulative damage model based on residual strength is established to predict the fatigue life. The Miner's rule and other models were compared to validate the model by referring to the test data of different materials under different loading stress levels. And the accuracy of the fatigue life predicted by this model is twice as good as that predicted by others models.

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Abbreviations

A, B :

Dimensionless coefficient or strength degradation coefficient of material

d1, d2 :

Damage under various stresses

n, n1 :

The number of cycles applied load

N:

Fatigue life

R(n):

Residual strength of material

s:

Cyclic applied load

σa :

Maximum applied load

σa1 :

Cyclic load

σb :

Initial static strength

σR :

Residual strength

σR(n1):

Residual strength of material after \(n_{1}\) cycles under cyclic loading \(\sigma_{a1}\)

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Acknowledgment

This work is supported by the National Natural Science Foundation of China (51675324).

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Authors and Affiliations

  1. School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China

    Minghui Zhang, Xintian Liu & Xiaobing Yang

  2. School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, 200092, People’s Republic of China

    Minghui Zhang

  3. Shanghai Puruize Technology Co., Ltd, Shanghai, China

    Guiqing Hu

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  1. Minghui Zhang
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Correspondence to Xintian Liu.

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Technical Editor: João Marciano Laredo dos Reis.

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Zhang, M., Hu, G., Liu, X. et al. An improved strength degradation model for fatigue life prediction considering material characteristics. J Braz. Soc. Mech. Sci. Eng. 43, 275 (2021). https://doi.org/10.1007/s40430-021-02997-4

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