DocumentCode :
2700783
Title :
A study on uncertainty analysis of fatigue reliability
Author :
Tang, Yong ; Li, Mingzhang ; Liu, Ningbo ; Zhu, Shun-Peng ; Huang, Hong-Zhong
Author_Institution :
Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2012
fDate :
15-18 June 2012
Firstpage :
909
Lastpage :
914
Abstract :
Engineering experience reminds us of the importance of uncertainty analysis in fatigue reliability based design. In the present paper, according to the procedure of fatigue reliability analysis, parameter uncertainty and model uncertainty are studied and the corresponding solutions are reviewed. The aim of parameter uncertainty analysis is to obtain reliability index to quantify uncertainties imported by parameters. The current research focuses on defining reliability index and putting forward different methods to handle different variable expressions (random, convex, fuzzy set). Different from parameter uncertainty analysis, model uncertainty analysis can reduce uncertainties imported by model by modifying model structure or selecting best model. In application, both methods can effectively quantify and reduce uncertainty. The development on both methods will contribute to understanding fatigue process and its causes.
Keywords :
fatigue; fuzzy set theory; random processes; reliability; uncertain systems; convex expression; fatigue process; fatigue reliability analysis; fatigue reliability based design; fuzzy set; model uncertainty analysis; parameter uncertainty analysis; random expression; reliability index; uncertainty analysis; Analytical models; Fatigue; Indexes; Predictive models; Probabilistic logic; Reliability; Uncertainty; Bayes´ theorem; model uncertainty; parameter uncertainty; reliability index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
Type :
conf
DOI :
10.1109/ICQR2MSE.2012.6246373
Filename :
6246373
Link To Document :
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