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A Study of Probabilistic Fatigue Crack Propagation Models in Mg-Al-Zn Alloys Under Different Specimen Thickness Conditions by Using the Residual of a Random Variable

확률변수의 잔차를 이용한 Mg-Al-Zn 합금의 시편두께 조건에 따른 확률론적 피로균열전파모델 연구

  • 최선순 (삼육대학교 카메카트로닉스학과)
  • Received : 2011.04.18
  • Accepted : 2012.01.26
  • Published : 2012.04.01

Abstract

The primary aim of this paper was to evaluate several probabilistic fatigue crack propagation models using the residual of a random variable, and to present the model fit for probabilistic fatigue behavior in Mg-Al-Zn alloys. The proposed probabilistic models are the probabilistic Paris-Erdogan model, probabilistic Walker model, probabilistic Forman model, and probabilistic modified Forman models. These models were prepared by applying a random variable to the empirical fatigue crack propagation models with these names. The best models for describing fatigue crack propagation behavior in Mg-Al-Zn alloys were generally the probabilistic Paris-Erdogan and probabilistic Walker models. The probabilistic Forman model was a good model only for a specimen with a thickness of 9.45 mm.

Keywords

Mg-Al-Zn Alloys;Probabilistic Fatigue Crack Propagation Model;Random Variable;Residual;Specimen Thickness;Fatigue

Acknowledgement

Supported by : 삼육대학교

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Cited by

  1. Evaluation of Probabilistic Fatigue Crack Propagation Models in Mg-Al-Zn Alloys Under Maximum Load Conditions Using Residual of Random Variable vol.39, pp.1, 2015, https://doi.org/10.3795/KSME-A.2015.39.1.063