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dc.contributor.authorPollak, Randall D.
dc.contributor.authorPalazotto, Anthony N.
dc.date.accessioned2015-09-10T22:54:43Z
dc.date.available2015-09-10T22:54:43Z
dc.date.issued2009
dc.identifier.citationProbabilistic Engineering Mechanics, Vol. 24, (2009), pp. 236- 241en_US
dc.identifier.urihttp://hdl.handle.net/10945/46461
dc.descriptionThe article of record as published may be located at http://dx.doi.org/10.1016/j.probengmech.2008.06.006en_US
dc.description.abstractIn this study, various probabilistic models were considered to support fatigue strength design guidance in the ultra high-cycle regime (beyond 108 cycles), with particular application to Ti-6Al-4V, a titanium alloy common to aerospace applications. The random fatigue limit model of Pascual and Meeker and two proposed simplified models (bilinear and hyperbolic) used maximum likelihood estimation techniques to fit probabilistic stress-life curves to experimental data. The bilinear and hyperbolic models provided a good fit to large-sample experimental data for dual-phase Ti-6Al-4V and were then applied to a small- sample data set for a beta annealed variant of this alloy, providing an initial probabilistic estimate of beta annealed Ti-6Al-4V fatigue strength in the gigacycle regime. The bilinear and hyperbolic models are recommended for use in estimating probabilistic fatigue strength parameters in support of very high- cycle design criteria for metals with clearly defined fatigue limits and fairly constant scatter in fatigue strength.en_US
dc.description.sponsorshipThis research was supported in part by the Air Force Research Laboratory's Materials and Manufacturing Directorate, Wright- Patterson Air Force Base, Ohio.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleA comparison of maximum likelihood models for fatigue strength characterization in materials exhibiting a fatigue limiten_US
dc.typeArticleen_US
dc.contributor.departmentSpace Systems Academic Groupen_US
dc.subject.authorHigh cycle fatigueen_US
dc.subject.authorMaximum likelihood estimationen_US
dc.subject.authorTitanium alloysen_US
dc.subject.authorProbabilistic fatigueen_US


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