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Title: Statistical modeling of fatigue crack growth rate in Inconel alloy 600.
Authors: Al-Rubaie, Kassim Shamil Fadhil
Godefroid, Leonardo Barbosa
Lopes, Jadir Antônio Moreira
Keywords: Inconel alloy 600
Fatigue crack growth rate
Statistical modeling
Nonlinear regression
Model selection
Issue Date: 2007
Citation: AL-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: <>. Acesso em: 09 abr. 2015.
Abstract: Inconel 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.
ISSN: 0142-1123
metadata.dc.rights.license: O periódico International Journal of Fatigue concede permissão para depósito deste artigo no Repositório Institucional da UFOP. Número da licença: 3624210836520.
Appears in Collections:DEMET - Artigos publicados em periódicos

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