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Improved structural reliability assessment using non-linear regression techniques to process raw fatigue crack growth test data

Stavrakakis Georgios

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URIhttp://purl.tuc.gr/dl/dias/DA05903D-F857-4439-94A2-A3BBF6F0DE5A-
Identifierhttps://doi.org/10.1002/qre.4680080407-
Languageen-
Extent7 pagesen
TitleImproved structural reliability assessment using non-linear regression techniques to process raw fatigue crack growth test dataen
CreatorStavrakakis Georgiosen
CreatorΣταυρακακης Γεωργιοςel
PublisherJohn Wiley and Sonsen
Content SummaryA new method is proposed to process raw fatigue crack growth (FCG) test data for estimating the parameters of any crack propagation (FCG) model. This method is based on iterative minimization techniques for non-linear regression, extensively available in the literature. The method presented here permits a significantly reduced contribution of the variability inherent in the usual raw FCG data processing techniques to the predictions of the crack length distributions derived by any analytical FCG model and, consequently, improved structural reliability assessment is achieved.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-14-
Date of Publication1992-
SubjectApplied mechanicsen
SubjectEngineering, Mechanicalen
Subjectmechanics applieden
Subjectapplied mechanicsen
Subjectengineering mechanicalen
Bibliographic CitationG.S. Stavrakakis ,“Improved structural reliability assessment using non-linear regression techniques to process raw fatigue crack growth test data” Quality and Rel. Eng. Intern., vol. 8,no.4, pp. 341-347, 1992.doi:10.1002/qre.4680080407en

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