文献类型：期刊文献

英文题名：Physics-based probabilistic assessment of creep-fatigue failure for pressurized components

作者：Wang, Xiaoxiao[1];Yang, Jie[2];Chen, Haofeng[1,3];Xuan, Fuzhen[3]

机构：[1]Univ Strathclyde, Dept Mech & Aerosp Engn, James Weir Bldg,75 Montrose St, Glasgow G1 1XJ, Scotland;[2]Univ Shanghai Sci & Technol, Sch Energy & Power Engn, Shanghai Key Lab Multiphase Flow & Heat Transfer P, Shanghai 200093, Peoples R China;[3]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai 200237, Peoples R China

年份：2023

卷号：250

外文期刊名：INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

收录：;EI(收录号：20231313805963);WOS:【SCI-EXPANDED(收录号:WOS:000967416700001)】；

基金：This project is supported by National Natural Science Foundation of China (Grant No. 52150710540 and 51828501) and Shanghai foreign experts project (Grant No. 21WZ2503200) . The authors also would like to thank the East China University of Science and Technology, and the University of Strathclyde for their support.

语种：英文

外文关键词：Probabilistic analysis; Neural network; Direct method; Creep -fatigue

摘要：To achieve a high-reliability design of high-temperature structures with a feasible balance between accuracy and efficiency, the physics-based probabilistic assessment for creep-fatigue failure is proposed under the probabilistic Linear Matching Method (pLMM) framework. At the physical level, the structural failure mechanism is reflected in the prepared training database, which is generated by the direct method procedures. And to efficiently express the relationship between design parameters and structural responses implicitly, the direct method-driven artificial neural network is built with the superior fitting quality of damage and lifetime. With the benchmarks provided, the applicability of the proposed probabilistic analysis approach for risk management of critical infrastructures is demonstrated, where the reliability-based creep-fatigue evaluation diagram is established according to different requirements. Furthermore, a novel data classification scheme is proposed to deal with the randomness in creep damage-dominated probabilistic assessment.