Title of article
Statistical modeling of fatigue crack growth rate in Inconel alloy 600
Author/Authors
Kassim S. Al-Rubaie، نويسنده , , Leonardo B. Godefroid، نويسنده , , Jadir A.M. Lopes، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2007
Pages
10
From page
931
To page
940
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.
Keywords
Inconel alloy 600 , Fatigue crack growth rate , Statistical modeling , Nonlinear regression , model selection , Akaike information criterion
Journal title
INTERNATIONAL JOURNAL OF FATIGUE
Serial Year
2007
Journal title
INTERNATIONAL JOURNAL OF FATIGUE
Record number
1161413
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