Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/5501
Title: Statistical modeling of fatigue crack growth rate in pre-strained 7475-T7351 aluminum alloy.
Authors: Al-Rubaie, Kassim Shamil Fadhil
Barroso, Emerson Kellem Lana
Godefroid, Leonardo Barbosa
Keywords: Modeling
Fatigue crack growth rate
Statistical analysis
Pre-strain
Issue Date: 2008
Citation: AL-RUBAIE, K. S.; BARROSO, E. K. L.; GODEFROID, L. B. Statistical modeling of fatigue crack growth rate in pre-strained 7475-T7351 aluminum alloy. Materials Science & Engineering. A, Structural Materials: properties, microstructure and processing, v. 486, p. 585-595, 2008. Disponível em:<http://www.sciencedirect.com/science/article/pii/S0921509307017960>. Acesso em: 09 abr. 2015.
Abstract: In this study, 7475-T7351 aluminum strips were subjected to two tensile pre-strain levels of 3% and 5%. Using compact tension C(T) specimens, fatigue crack growth tests were conducted under constant amplitude loading at stress ratios of 0.1 and 0.5 in air and at room temperature. Three fatigue crack growth rate (FCGR) models, namely, Collipriest, Priddle, and NASGRO were examined. To handle the effect of stress ratio on FCGR, Walker equivalent stress intensity factor model was used. Consequently, generalized Collipriest (GC), generalized Priddle (GP), and generalized NASGRO (GN) models were developed and fitted to the FCGR data. It was shown that both GC and GP models fit the FCGR data in a similar fashion. However, the GP model provided a better fit than the GC model. The GN model was found to be the most appropriate model for the data. Therefore, this model may be suggested for use in critical applications, such as aeronautical structural design.
URI: http://www.repositorio.ufop.br/handle/123456789/5501
metadata.dc.identifier.doi: https://doi.org/10.1016/j.msea.2007.10.083
ISSN: 0921-5093
metadata.dc.rights.license: O periódico Materials Science and Engineering: A concede permissão para depósito deste artigo no Repositório Institucional da UFOP. Número da licença: 3624211104407.
Appears in Collections:DEMET - Artigos publicados em periódicos

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