Uncertainty analysis of constant amplitude fatigue test data employing the six parameters random fatigue limit model
conference paper
Estimating and reducing uncertaintyin fatigue test data analysis is a relevant task in order to assess the reliability of a structural connection with respect to fatigue. Several statistical models have been proposed in the literature with the aim of representing the stress range vs. endurance trend of fatigue test data under constant amplitude loading andthe scatter in the finite and infinite life regions. In order to estimate the safety level of the connection also the uncertainty related to the amount of information available need to beestimated using the methods provided by the theory of statistic.The Bayesian analysis is employed to reduce the uncertaintydue to the often small amount of test data by introducing prior information related to the parameters of the statistical model. Inthis work, the inference of fatigue test data belonging to cover plated steel beams is presented. The uncertainty isestimated by making use of Bayesian and frequentist methods.The 5% quantileof the fatigue life isestimatedby taking into account the uncertaintyrelated to the sample sizefor both a dataset containing few samples and one containing more data. The S-N curves resulting from the application of the employed methods are comparedand the effect of the reduction of uncertaintyin the infinite life region is quantified
TNO Identifier
810157
ISSN
2261236X
Publisher
EDP Sciences
Article nr.
10016
Source title
12th International Fatigue Congress, FATIGUE 2018. 27 May 2018 through 1 June 2018
Editor(s)
Henaff, G.
Files
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