Statistical modeling of fatigue crack growth rate in Inconel alloy 600.

dc.contributor.authorAl-Rubaie, Kassim Shamil Fadhil
dc.contributor.authorGodefroid, Leonardo Barbosa
dc.contributor.authorLopes, Jadir Antônio Moreira
dc.date.accessioned2015-05-25T17:58:31Z
dc.date.available2015-05-25T17:58:31Z
dc.date.issued2007
dc.description.abstractInconel alloy 600 is widely used in heat-treating industry, in chemical and food processing, in aeronautical industry, and in nuclear engineering. In this work, fatigue crack growth rate (FCGR) was evaluated in air and at room temperature under constant amplitude loading at a stress ratio of 0.1, using compact tension specimens. Collipriest and Priddle FCGR models were proposed to model the data. In addition, these models were modified to obtain a better fit to the data, especially in the near-threshold region. Akaike information criterion was used to select the candidate model that best approximates the real process given the data. The results showed that both Collipriest and Priddle models fit the FCGR data in a similar fashion. However, the Priddle model provided better fit than the Collipriest model. The modified Priddle model was found to be the most appropriate model for the data.pt_BR
dc.identifier.citationAL-RUBAIE, K. S. F.; GODEFROID, L. B.; LOPES, J. A. M. Statistical modeling of fatigue crack growth rate in Inconel alloy 600. International Journal of Fatigue, v. 29, p. 931-940, 2007. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0142112306002295>. Acesso em: 09 abr. 2015.pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.ijfatigue.2006.07.013
dc.identifier.issn0142-1123
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/5498
dc.language.isoen_USpt_BR
dc.rights.licenseO periódico International Journal of Fatigue concede permissão para depósito deste artigo no Repositório Institucional da UFOP. Número da licença: 3624210836520.pt_BR
dc.subjectInconel alloy 600pt_BR
dc.subjectFatigue crack growth ratept_BR
dc.subjectStatistical modelingpt_BR
dc.subjectNonlinear regressionpt_BR
dc.subjectModel selectionpt_BR
dc.titleStatistical modeling of fatigue crack growth rate in Inconel alloy 600.pt_BR
dc.typeArtigo publicado em periodicopt_BR

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