详细信息
A data-driven roadmap for creep-fatigue reliability assessment and its implementation in low-pressure turbine disk at elevated temperatures ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:A data-driven roadmap for creep-fatigue reliability assessment and its implementation in low-pressure turbine disk at elevated temperatures
作者:Wang, Run-Zi[1];Gu, Hang-Hang[1];Zhu, Shun-Peng[2];Li, Kai-Shang[1];Wang, Ji[1];Wang, Xiao-Wei[3];Hideo, Miura[4];Zhang, Xian-Cheng[1];Tu, Shan-Tung[1]
机构:[1]East China Univ Sci & Technol, Key Lab Pressure Syst & Safety, Minist Educ, Shanghai 200237, Peoples R China;[2]Univ Elect Sci & Technol China, Sch Mechatron Engn, Chengdu 611731, Peoples R China;[3]Nanjing Tech Univ, Sch Mech & Power Engn, Nanjing 211816, Peoples R China;[4]Tohoku Univ, Grad Sch Engn, Fracture & Reliabil Res Inst, Sendai, Miyagi 9808579, Japan
年份:2022
卷号:225
外文期刊名:RELIABILITY ENGINEERING & SYSTEM SAFETY
收录:;EI(收录号:20222012112653);WOS:【SCI-EXPANDED(收录号:WOS:000829344700001)】;
基金:This work was supported financially by the National Natural Science Foundation of China (Nos. 52005185, 51725503, U21B2077 and 11972110), Young Elite Scientists Sponsorship Program by CAST (YESS20200029), and the Postdoctoral Fellowships for Research in Japan (FY2020 P20350) and the Grant-in-Aid for JSPS Fellows (21F50350) by the Japan Society for the Promotion of Science (JSPS).
语种:英文
外文关键词:Creep-fatigue; Reliability assessment; Turbine disk; Surrogate model; Probabilistic safety design
摘要:High-reliability life design process not only can ensure system safety in service, but also can provide scientific life management during the maintenance period. The objective of the present work is to develop a roadmap for creep-fatigue reliability assessment. Material-level data accumulations and theoretical foundations of creep-fatigue including creep-fatigue constitutive and multi-axial damage models are introduced. Afterwards, a low-pressure turbine disk under a typical creep-fatigue load waveform is applied as a case study to demonstrate how to perform creep-fatigue reliability assessment by using this roadmap in practice. Precise weakness hotspots are identified at the mortise joint of turbine disk. Based on hotspot-based strategy, it is found that the surrogate model assisted by an optimized machine learning method enhances significantly the computational efficiency. Accordingly, the probabilistic creep-fatigue life with considering multi-sources uncertainty obeys lognormal distributions. In the aspect of failure probability analysis, the current probabilistic damage interaction diagram method with creep-fatigue interaction gives conservative reliability assessments and excellent universality as compared to traditional ones mainly used in the low cycle fatigue field. Last but not least, joint failure evaluation of the turbine disk is discussed to comprehensively consider potential failure occurrence in an averaged hot region instead of a single hotspot.
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