ISSN: 1546-962X
CODEN: JAIOAD
Page Count: 11

A Comparison of Predictions From Probabilistic Crack Growth Models Inferred From Virkler's Data

Cross, RJ
School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA

Makeev, A
School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA

Armanios, E
School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA

Abstract

The significant variability observed in fatigue crack growth experiments requires application of probabilistic modeling techniques to fatigue analyses. In this work, philosophical and practical concerns for probabilistic modeling are discussed. Several probabilistic fatigue models are derived from the Virkler data and then used to make predictions under a different loading condition. This comparison of predictions demonstrates their sensitivity to the choice of model. In this effort a method for inference of random process parameters and corresponding confidence limits from highly statistically dependent observations is developed.

Keywords:
fatigue, probabilistic modeling, reliability

Paper ID: JAI100574
DOI: 10.1520/JAI100574
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