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Statistical and Probabilistic Analysis of Fatigue Life Data With Two- and Three-Parameter Weibull Distribution Functions

[+] Author Affiliations
Zhigang Wei, Limin Luo, Litang Gao

Tenneco, Inc., Grass Lake, MI

Kamran Nikbin

Imperial College London, London, UK

Paper No. PVP2016-63919, pp. V06BT06A056; 9 pages
doi:10.1115/PVP2016-63919
From:
  • ASME 2016 Pressure Vessels and Piping Conference
  • Volume 6B: Materials and Fabrication
  • Vancouver, British Columbia, Canada, July 17–21, 2016
  • Conference Sponsors: Pressure Vessels and Piping Division
  • ISBN: 978-0-7918-5043-5
  • Copyright © 2016 by ASME

abstract

Product durability and reliability validation requires fatigue testing of limited samples and the corresponding statistical and probabilistic analyses of the test data. The uncertainties introduced into the tests with limited sample size and the assumptions made about the underlying probabilistic distribution function will significantly impact the analysis results and the result interpretation. In this paper, a large amount of fatigue life data collected from several programs are analyzed. The values of the parameters estimated from the two-parameter and three-parameter probabilistic distribution functions, Weibull in particular, are compared. Finally, the observations are summarized and some recommendations are provided.

Copyright © 2016 by ASME

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