Statistical modeling of fatigue crack growth rate in Inconel alloy 600

被引：32

作者：

Al-Rubaie, Kassim S.

Godefroid, Leonardo B.

Lopes, Jadir A. M.

机构：

[1] Univ Fed Ouro Preto, Escola Minas, Dept Engn Met & Mat, BR-35400000 Ouro Preto, MG, Brazil

[2] EMBRAER, BR-12227901 Sao Jose Dos Campos, SP, Brazil

[3] Cidade Univ, CDTN, CNEN, BR-30123970 Belo Horizonte, MG, Brazil

来源：

INTERNATIONAL JOURNAL OF FATIGUE | 2007年 / 29卷 / 05期

关键词：

Inconel alloy 600; fatigue crack growth rate; statistical modeling; nonlinear regression; model selection; Akaike information criterion;

D O I：

10.1016/j.ijfatigue.2006.07.013

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

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. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：931 / 940

页数：10

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