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dc.contributor.authorTAYLOR, DAVID
dc.contributor.authorWILSON, SIMON PAUL
dc.date.accessioned2009-09-18T16:24:18Z
dc.date.available2009-09-18T16:24:18Z
dc.date.issued1997
dc.date.submitted1997en
dc.identifier.citationSimon P. Wilson and D. Taylor `Reliability assessment from fatigue micro-crack data? in IEEE Transactions on Reliability, 46, (2), 1997, pp 165 - 172en
dc.identifier.otherY
dc.identifier.otherYen
dc.descriptionPUBLISHEDen
dc.description.abstractSummary & Conclusions -Micro-cracks are generally defined to be cracks less than 1 nun in length, which propagate under cyclic stresses until they grow large and cause failure in an item (eg, component or structure). This paper proposes a method of using data on 'fatigue micro-crack growth in a material' to predict its reliability. It is increasingly important to model such cracks effectively. Their growth properties, which differ in several respects from larger cracks, are discussed. The paper develops a hierarchical model for the propagation of micro-cracks in a material. This stochastic model attempts to model the dependence of growth on local conditions, varying throughout the material, that causes variation in growth rates across the specimen. Given the model, data on micro-crack growth arc used to compute posterior distributions of model parameters, from which a predictive distribution for reliability can be calculated. Computation of the posterior distributions is by Gibb's sampling and kernel density estimation. The methodology is illustrated with two data sets, one simulated and the other from a cast-iron specimen. Some possibilities for further work are presented.en
dc.format.extent165en
dc.format.extent172en
dc.format.extent794456 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofseriesIEEE Transactions on Reliabilityen
dc.relation.ispartofseries46en
dc.relation.ispartofseries2en
dc.rightsYen
dc.subjectBayes inference, Coalescence, Fatigue, Gibb?tr sampling, Hierarchical model, Kernel density estimate, Microcrack, Propagationen
dc.titleReliability assessment from fatigue micro-crack dataen
dc.typeJournal Articleen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/swilson
dc.identifier.rssinternalid33659
dc.identifier.urihttp://hdl.handle.net/2262/32971


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