A gamma process model for the analysis of fatigue crack growth data

被引：24
|
作者：
Guida, Maurizio [1 ]
Penta, Francesco [2 ]
机构：
[1] Univ Salerno, Dept Informat Engn Elect Engn & Appl Math, I-84084 Fisciano, SA, Italy
[2] Univ Naples Federico II, Dept Ind Engn, I-80125 Naples, Italy
来源：
ENGINEERING FRACTURE MECHANICS | 2015年 / 142卷
关键词：
Gamma process; Stochastic fatigue crack growth; Lifetime prediction; R-ratio effect; Reliability; PROBABILISTIC MODELS; R-RATIO; PROPAGATION;
D O I：
10.1016/j.engfracmech.2015.05.027
中图分类号：
O3 [力学];
学科分类号：
08 ; 0801 ;
摘要：
In this paper, the time to reach any given crack size in fatigue testing is directly modeled as a stochastic process. In particular, a gamma process with non-stationary independent increments is assumed for each specimen, where the shape parameter is a suitable function of the crack length. Then, the variability across specimens is accounted for by assuming that the scale parameter is a gamma random variable, resulting in simple mathematical forms for the distribution of service time, its mean and variance. The correlation between the Paris law parameters C and m is also revisited and some useful results are given. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码：21 / 49
页数：29
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