Investigation on mechanical behaviors under fatigue load of stacking sequences considering autofrettage process for highly reliable hydrogen storage vessel

Li, Chenyang; Qin, Zelin; Li, Yinhui; Chen, Zhanchun; Liu, Jianglin; Liang, Jianguo; Feng, Jun

doi:10.1016/j.est.2024.110538

Journal of Energy Storage

2024

DOI: 10.1016/j.est.2024.110538

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Investigation on mechanical behaviors under fatigue load of stacking sequences considering autofrettage process for highly reliable hydrogen storage vessel

Chenyang Li,

Zelin Qin,

Yinhui Li

et al.

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Cited by 5 publications

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Data-driven lay-up design of a type IV hydrogen storage vessel based on physics-constrained generative adversarial networks (PCGANs)

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Study on the influence factors of gravimetric hydrogen storage density of type III cryo-compressed hydrogen storage vessel

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Investigation on mechanical behaviors under fatigue load of stacking sequences considering autofrettage process for highly reliable hydrogen storage vessel

Cited by 5 publications

References 25 publications

Data-driven lay-up design of a type IV hydrogen storage vessel based on physics-constrained generative adversarial networks (PCGANs)

Data-driven lay-up design of a type IV hydrogen storage vessel based on physics-constrained generative adversarial networks (PCGANs)

Flow-thermal-mechanical coupling analysis of molten salt phase change unit during cold start melting

Study on the influence factors of gravimetric hydrogen storage density of type III cryo-compressed hydrogen storage vessel

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