A New Stochastic Model for Prediction of Fatigue Crack Propagation

Author:

Farhangdoost Khalil1,Pooladi B. E.

Affiliation:

1. Ferdowsi University of Mashhad

Abstract

Fatigue damage plays a significant role in fatigue life of structures and mechanical parts. Characterizing crack length as a random process in fatigue life, is a matter of controversy which is the first step of this new stochastic model for prediction of fatigue crack propagation. Minimum uncertainties and capability of using closure load are the model advantages. Generating series of a nonstationary process, effects of load history in immediate last step of crack propagation using Total Probability Theory (TPT) are some assumptions of this model. The model results have been compared with actual test results of Ti-6Al-4V CT specimens.

Publisher

Trans Tech Publications, Ltd.

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference5 articles.

1. Fracture Mechanics Laboratory of McGill University: Fatigue CT test results (Canada, 1993).

2. Douglas C. MontGomery, Elizabeth A. Peck and G . Geoffrey Vining: Introduction to Linear Regression Analysis (3 rd edt., John Wiley & Sons INC., 2001).

3. W. Shen, A.B.O. Soboyejo and W.O. Soboyejo: Probabilistic modeling of fatigue crack growth in Ti-6Al-4V, International Journal of Fatigue No. 23 (2001), pp.917-925.

4. G.M. Clrke and D. Cooke: A Basic Course in Statistics (2 nd edt., Edward Arnold Pty Ltd., 1983).

5. Khalil Farhangdoost: On the fatigue reliability assessment of Ti-6Al-4V, Thesis submitted for the degree of doctor of philosophy (McGill University, Canada, January 1994).

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