Uncertainty analysis of constant amplitude fatigue test data employing the six parameters random fatigue limit model

Onderzoeksoutput: Bijdrage aan tijdschriftCongresartikelAcademicpeer review

1 Citaat (Scopus)
90 Downloads (Pure)

Samenvatting

Estimating and reducing uncertainty in 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 and the 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 be estimated using the methods provided by the theory of statistic. The Bayesian analysis is employed to reduce the uncertainty due to the often small amount of test data by introducing prior information related to the parameters of the statistical model. In this work, the inference of fatigue test data belonging to cover plated steel beams is presented. The uncertainty is estimated by making use of Bayesian and frequentist methods. The 5% quantile of the fatigue life is estimated by taking into account the uncertainty related to the sample size for both a dataset containing few samples and one containing more data. The S-N curves resulting from the application of the employed methods are compared and the effect of the reduction of uncertainty in the infinite life region is quantified.

Originele taal-2Engels
Artikelnummer10016
Aantal pagina's8
TijdschriftMATEC Web of Conferences
Volume165
DOI's
StatusGepubliceerd - 25 mei 2018
Evenement12th International Fatigue Congress, FATIGUE 2018 - Poitiers Futuroscope, France, Poitiers Futuroscope, Frankrijk
Duur: 27 mei 20181 jun 2018
Congresnummer: 12
https://www.sf2m.fr/Fatigue2018/default.htm
http://www.fems.org/event/fatigue-2018-12th-international-fatigue-congress

Vingerafdruk Duik in de onderzoeksthema's van 'Uncertainty analysis of constant amplitude fatigue test data employing the six parameters random fatigue limit model'. Samen vormen ze een unieke vingerafdruk.

  • Citeer dit