文献类型：期刊文献

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

作者：Wang, Xiaoxiao[1];Chen, Haofeng[1,2];Xuan, Fuzhen[1]

机构：[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Key Lab Pressure Syst & Safety DOE, Shanghai 200237, Peoples R China;[2]Univ Strathclyde, Dept Mech & Aerosp Engn, James Weir Bldg, 75 Montrose St, Glasgow G1 1XJ, Scotland

年份：2023

卷号：206

外文期刊名：INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING

收录：;EI(收录号：20233714708651);WOS:【SCI-EXPANDED(收录号:WOS:001073058100001)】；

基金：The authors gratefully acknowledge the support from the National Natural Science Foundation of China (51828501, 52150710540 and 52375145) , the China Postdoctoral Science Foundation (2023TQ0119) , the East China University of Science and Technology, and the University of Strathclyde during the course of this work.

语种：英文

外文关键词：Creep-fatigue; Hydrogenation reactor; Probabilistic analysis; Direct method; Artificial neural network

摘要：In order to obtain better hydrogenation reaction efficiency, the prospective hydrogenation reactor faces harsh working conditions, including the high-stress level, high-temperature environment, long creep dwell period and degradation of material resistance, leading to significant creep-fatigue interaction at the structural critical locations. The uncertainty widely existing in such design conditions further aggravates the creep-fatigue failure risk of the hydrogenation reactor structure, and makes the damage evolution and lifetime difficult to capture and predict. According to the latest appendix A15 of the R5 Procedure, a series of probabilistic analysis practices are delivered based on Volume 2/3 regarding creep-fatigue crack initiation. In this study, the probabilistic analysis for the hydrogenation reactor is implemented by the neural network-assisted creep-fatigue surrogate model under the probabilistic Linear Matching Method Framework (pLMM), with the superior balance between the computational efficiency and prediction accuracy fully achieved. The statistical distribution of structural creepfatigue lifetime is investigated with the physics-based modelling technology, and the reliability-centred evaluation diagram and safety factors of the hydrogenation reactor are proposed for different reliability levels, which is dedicated to facilitating the risk management of crucial components in the hydrogen industry.