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http://dx.doi.org/10.3795/KSME-A.2015.39.1.063

Evaluation of Probabilistic Fatigue Crack Propagation Models in Mg-Al-Zn Alloys Under Maximum Load Conditions Using Residual of Random Variable  

Choi, Seon Soon (Dept. of Car Mechatronics Engineering, Sahmyook Univ.)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.39, no.1, 2015 , pp. 63-69 More about this Journal
Abstract
The primary aim of this paper is to evaluate the probabilistic fatigue crack propagation models using the residual of a random variable and to present the probabilistic model fit for the probabilistic fatigue crack growth behavior in Mg-Al-Zn alloys under maximum load conditions. The models used in this study were prepared by applying a random variable to empirical fatigue crack propagation models such as the Paris-Erdogan model, Walker model, Forman model, and modified Forman model. It was verified that the good models for describing the stochastic variation of the fatigue crack propagation behavior in Mg-Al-Zn alloys under maximum load conditions were the 'probabilistic Paris-Erdogan model' and 'probabilistic Walker model'. The influence of the maximum load conditions on the stochastic variation of fatigue crack growth is also considered.
Keywords
Maximum Load; Mg-Al-Zn Alloys; Probabilistic Fatigue Crack Propagation Model; Random Variable; Residual;
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Times Cited By KSCI : 1  (Citation Analysis)
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