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Automotive
Technical Paper

Statistical Approaches Applied to Fatigue Test Data Analysis

2005-01-0802

04/11/2005

Event
SAE 2005 World Congress & Exhibition
Authors
Carlos C. Engler-Pinto Ford Motor Company
John V. Lasecki Ford Motor Company
Robert J. Frisch Ford Motor Company
Michael A. DeJack Ford Motor Company
John E. Allison Ford Motor Company
Abstract
Content
The use of statistics is an important aspect in the analysis of fatigue test results. This paper describes the use of the Maximum Likelihood Estimate to analyze the fatigue results of staircase tests and Life-Regression Models (S-N curve). Two life-regression models are analyzed: a modified Basquin model and the Random Fatigue Limit (RFL) model.
Meta Tags
Topics
Fatigue
Statistical analysis
Affiliated or Co-Author
Ford Motor Company
Details
DOI
https://doi.org/10.4271/2005-01-0802
Pages
12
Citation
Engler-Pinto, C., Lasecki, J., Frisch, R., DeJack, M. et al., "Statistical Approaches Applied to Fatigue Test Data Analysis," SAE Technical Paper 2005-01-0802, 2005, https://doi.org/10.4271/2005-01-0802.
Additional Details
Publisher
SAE International
Published
Apr 11, 2005
Product Code
2005-01-0802
Content Type
Technical Paper
Language
English