Study of Hydrogen Induced Fatigue Crack Expansion on 4130X Steel by Machine Learning Method
4130X steel is widely used for hydrogen storage vessels.Hydrogen induced fatigue crack expansion is a risk,which will affect 4130X steel's service life.At present,there's still lack systematic analysis of hydrogen induced fatigue crack expansion test results for both gaseous and liquid hydrogen testing environment.In this paper,machine learning method is used to analyse the affect of basic mechanical property parameters and corrosion fatigue test parame-ters on 4130X steels hydrogen induced fatigue crack expansion.The results show that hydrogen concentration and form are the most important factors affecting hydrogen induced fatigue crack of 4130X steel.Besides,the prediction model of hydrogen induced fatigue crack expansion of 4130X steel is established by machine learning method,this model is proved to be more accurate.
4130X steelMachine learningFatigue crack expansionHydrogen energy
NETL
NSTL
万方数据
