Microcrack Initiation and Growth

dc.contributor.author Morris, W.
dc.contributor.author James, M.
dc.date 2018-02-13T17:28:56.000
dc.date.accessioned 2020-06-30T01:28:29Z
dc.date.available 2020-06-30T01:28:29Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 1980
dc.date.embargo 2013-11-15
dc.date.issued 1980-07-01
dc.description.abstract <p>A Monte Carlo simulation technique to predict the mean and scatter in fatigue lifetime of certain 2000 and 7000 series aluminum alloys is described. The method is based upon models of surface microcrack nucleation and early growth, which comprise the initiation phase of the fatigue failure process. The experimental basis for the models is discussed, and examples of predicted numbers and lengths of microcracks developed during fatigue of Al 2219-T851 are compared with experiments. Scatter in lifetime and mean lifetime predictions are also discussed. These are obtained from repeated running of the fatigue simulation, for which scatter in lifetime results from the effect of local microscopic variations in alloy microstructure on the time of crack initiation. The association of the method with a "retirement for cause" philosophy is noted.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/cnde_yellowjackets_1979/32/
dc.identifier.articleid 1026
dc.identifier.contextkey 4825852
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath cnde_yellowjackets_1979/32
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/16071
dc.language.iso en
dc.relation.ispartofseries Interdisciplinary Program for Quantitative Flaw Definition Annual Reports
dc.source.bitstream archive/lib.dr.iastate.edu/cnde_yellowjackets_1979/32/1979_YellowJacket_026_Morris_MicrocrackInitiation.pdf|||Fri Jan 14 23:33:24 UTC 2022
dc.subject.disciplines Materials Science and Engineering
dc.subject.keywords Nondestructive Evaluation
dc.title Microcrack Initiation and Growth
dc.type report
dc.type.genre report
dspace.entity.type Publication
relation.isSeriesOfPublication 43920e40-d127-4f4c-9087-dc709815fe7f
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