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Fatigue Properties and Life Prediction of GS80A Steel Under the Effect of Hydrogen-Rich Environment

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Abstract

To ensure the safety of high-strength bolt materials in an ocean hydrogen-rich environment, this work first studies the H-effect on GS80A steel by mechanical tests and fracture surface observations. The experimental mechanical properties with/without the H-effect are compared with each other, showing a strong hydrogen-induced reduction of ductility, ultimate tensile strength, yield strength, and full-cycle fatigue life. To reproduce the S-N curve based on the experimental fatigue life with/without the H-effect, a neural network model and a typical gray theory are used in this paper for the first time. Reasonable agreement is found between these two models. Finally, the H-affected P-S-N curves are obtained based on the Bootstrap method, indicating the fatigue life obtained by the same condition convergence to Weibull distribution.

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Abbreviations

\({\sigma }_{b}\) :

Tensile strength (MPa)

\({\sigma }_{y}\) :

Yield strength (MPa)

H-effect:

Hydrogen-effect

H-charging:

Hydrogen-charging

H-affected:

Hydrogen-affected

MLP-Regressor:

Multilayer Perceptron Regressor

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (grant number 52075111), and the Fundamental Research Funds for the Central Universities (grant number 3072022JC0701).

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, 150001, People’s Republic of China

    Chang Guo, Shaogang Liu, Yi Zou, Dan Zhao, Mingshen Cheng, Tang Gu, Yuxin Liu, Qingquan Zhang, Qihan Wang & Zhenwei Feng

  2. Shanghai Marine Equipment Research Institute, Shanghai, 200031, People’s Republic of China

    Yi Zou

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  1. Chang Guo
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Guo, C., Liu, S., Zou, Y. et al. Fatigue Properties and Life Prediction of GS80A Steel Under the Effect of Hydrogen-Rich Environment. JOM 75, 1306–1318 (2023). https://doi.org/10.1007/s11837-022-05688-0

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