In this work, the influence of hydrogen on GS80A steel was studied through mechanical tests and fracture surface observations. The results showed a significant reduction in ductility, ultimate tensile strength, yield strength, and fatigue life due to hydrogen. For the first time, a neural network model and a typical gray theory were used to reproduce the S-N curve based on experimental fatigue life with and without the presence of hydrogen, and reasonable agreement was found between the two models. The H-affected P-S-N curves were obtained using the Bootstrap method, indicating that the fatigue life obtained under the same conditions converged to a Weibull distribution.
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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