ISSN: 1945-7553
CODEN: JTEVAB
Page Count: 10

Analysis of Fatigue Data with Runouts Based on a Model with Nonconstant Standard Deviation and a Fatigue Limit Parameter

Pascual, FG
Iowa State University, Ames, IA

Meeker, WQ
Iowa State University, Ames, Iowa

(Received 26 October 1995; accepted 23 October 1996)

Abstract

The fatigue-limit model studied here contains an unknown fatigue limit parameter. Under this model, specimens tested below this fatigue-limit level of stress will never fail. The model also allows the standard deviation of fatigue life to be a function of stress. Researchers can use this model to describe the standard deviation and stress dependence in fatigue data. To illustrate its application, we use maximum likelihood methods to fit the model to fatigue data on a nickel base superalloy. Modern statistical methods based on likelihood ratio provide confidence intervals for the fatigue limit parameter. We also study the effect that test length has on estimation by analyzing simulated data sets based on this model. Through this simulation study, we gain insight into practical test lengths for future fatigue experiments.

Keywords:
fatigue curves, fatigue data, fatigue life distribution, fatigue limit, maximum likelihood methods, nonconstant standard deviation, runouts

Paper ID: JTE11341J
DOI: 10.1520/JTE11341J
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