文献类型：期刊文献

英文题名：Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks

作者：Zhu, Shun-Peng[1];Liu, Qiang[1];Peng, Weiwen[1];Zhang, Xian-Cheng[2]

机构：[1]Univ Elect Sci & Technol China, Ctr Syst Reliabil & Safety, Sch Mech & Elect Engn, Chengdu 611731, Sichuan, Peoples R China;[2]East China Univ Sci & Technol, Sch Mech & Power Engn, Minist Educ, Key Lab Pressure Syst & Safety, Shanghai 200237, Peoples R China

年份：2018

卷号：142

起止页码：502

外文期刊名：INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

收录：;EI(收录号：20182105231198);WOS:【SCI-EXPANDED(收录号:WOS:000437372600042)】；

基金：Financial supports of the National Natural Science Foundation of China (No. 11672070 and 11302044), the China Postdoctoral Science Foundation Funded Project (No. 2015M582549 and 2017T100697), the Fundamental Research Funds for the Central Universities (No. ZYGX2016J208) and the Open Project Program of Key Laboratory of Deep Earth Science and Engineering (Sichuan University), Ministry of Education (No. DUSE201701) are acknowledged.

语种：英文

外文关键词：Fatigue; Reliability; Uncertainty; Sensitivity analysis; Bladed disk

摘要：In the present study, a computational-experimental framework is developed for fatigue reliability assessment of turbine bladed disks. Within the framework, the overspeed testing is innovatively combined with stochastic finite element (FE) analysis for quantifying uncertainties in the experimental data, material properties and loads. Meanwhile, two schemes are elaborated based on probabilistic S-N curves and stochastic FE simulation coupling with sampling technique. The stochastic FE simulation incorporates the Chaboche constitutive model with Fatemi-Socie criterion for fatigue behavior modeling and life prediction. Moreover, experimental deformation and numerical FE analysis are conducted with regard to the full-scale bladed disk test with increased step-stress overloading. Reliability sensitivity analysis is performed to provide an importance ranking of random variables for fatigue design of the bladed disk. Results indicate that stochastic FE analysis-based scheme provides more conservative predictions than the probabilistic S-N curves-based one.