详细信息
Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks
作者:Niu, Xiao-Peng[1];Wang, Run-Zi[2];Liao, Ding[1];Zhu, Shun-Peng[1,3];Zhang, Xian-Cheng[2];Keshtegar, Behrooz[1,4]
机构:[1]Univ Elect Sci & Technol China, Sch Mech & Elect Engn, Chengdu 611731, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Pressure Syst & Safety, Minist Educ, Shanghai 200237, Peoples R China;[3]Univ Elect Sci & Technol China, Ctr Syst Reliabil & Safety, Chengdu 611731, Peoples R China;[4]Univ Zabol, Dept Civil Engn, Zabol, Iran
年份:2021
卷号:142
外文期刊名:INTERNATIONAL JOURNAL OF FATIGUE
收录:;EI(收录号:20203809206635);WOS:【SCI-EXPANDED(收录号:WOS:000591565200003)】;
基金:Financial support of the National Natural Science Foundation of China (No. 11972110 and 11672070), Sichuan Provincial Key Research and Development Program, China (No. 2019YFG0348 and 2019YFG0350), Science and Technology Program of Guangzhou, China (No. 201904010463), Fundamental Research Funds for the Central Universities, China (No. ZYGX2019J040) are acknowledged.
语种:英文
外文关键词:Fatigue; Reliability; Multi-source uncertainties; Geometrical uncertainty; Sensitivity analysis
摘要:Turbine bladed disks normally operate under complex loadings coupling with uncertainties originate from multiple sources, including material variability, load variation and geometrical uncertainty. The influence of these uncertainties on mechanical response of engineering components are critical for their fatigue assessment and reliability evaluation. In this work, a general framework for fatigue reliability analysis is developed by coupling the Latin hypercube sampling with FE analysis to describe the combined effects of multi-source uncertainties. Fatigue reliability analysis of a full-scale bladed disk under multi-source uncertainties was performed as well as sensitivity analysis for fatigue design. In order to describe the manufacturing errors or tolerances, random dimensions are inputted. Comparing the predicted fatigue lifetime distributions with/without geometrical uncertainty, it shows that geometrical uncertainty matters in structural fatigue reliability. Particularly, sensitivity analysis indicates that the geometrical uncertainty exerts more critical influences on the fatigue lifetime and reliability of the turbine bladed disk than others. The sensitivity factors of three typical dimensions emerges the influence of designed sizes and dimensional tolerances on the failure probability, which provides a reference for engineering design.
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