Neural network-assisted probabilistic creep-fatigue assessment of hydrogenation reactor with physics-based surrogate model

Wang, Xiaoxiao; Chen, Haofeng; Xuan, Fuzhen

doi:10.1016/j.ijpvp.2023.105051

International Journal of Pressure Vessels and Piping

2023

DOI: 10.1016/j.ijpvp.2023.105051

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Neural network-assisted probabilistic creep-fatigue assessment of hydrogenation reactor with physics-based surrogate model

Xiaoxiao Wang,

Haofeng Chen,

Fuzhen Xuan

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Neural network-assisted probabilistic creep-fatigue assessment of hydrogenation reactor with physics-based surrogate model

Cited by 4 publications

References 46 publications

Extended constant life diagrams for low cycle fatigue and creep-fatigue assessments of high-temperature structures

Extended constant life diagrams for low cycle fatigue and creep-fatigue assessments of high-temperature structures

Machine learning-assisted probabilistic creep life assessment for high-temperature superheater outlet header considering material uncertainty

Low cycle fatigue and creep-fatigue interaction behavior of 2.25CrMoV steel at high temperature

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