Journal Published Online: 01 November 2006
Volume 3, Issue 10

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

CODEN: JAIOAD

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.

Author Information

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
Pages: 11
Price: $25.00
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Details
Stock #: JAI100574
ISSN: 1546-962X
DOI: 10.1520/JAI100574