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  4. Statistical evaluation of fatigue tests using maximum likelihood
 
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2021
Journal Article
Title

Statistical evaluation of fatigue tests using maximum likelihood

Abstract
The statistical evaluation of fatigue tests can be carried out using the maximum likelihood method. With this method, the influence of run-outs on the S-N curve can be statistically considered. Typically, a bilinear S-N curve (Wöhler curve) in double-logarithmic representation is used. The logarithmic normal distribution is the basis for describing the scatter, which is assumed here to be independent of the number of cycles. For parameter determination via the maximum likelihood method, reliability is examined and compared with the evaluation methods proposed in DIN 50100. While a defined test procedure is required for the application of DIN 50100, any test data can be evaluated according to the maximum likelihood method. In comparison with the methods proposed in DIN 50100, it could be shown through some examples that the maximum likelihood method yields very reliable results for all S-N curve parameters.
Author(s)
Störzel, Klaus  
Fraunhofer-Institut für Betriebsfestigkeit und Systemzuverlässigkeit LBF  
Baumgartner, Jörg  orcid-logo
Fraunhofer-Institut für Betriebsfestigkeit und Systemzuverlässigkeit LBF  
Journal
MP materials testing  
DOI
10.1515/mt-2020-0116
Language
English
Fraunhofer-Institut für Betriebsfestigkeit und Systemzuverlässigkeit LBF  
Keyword(s)
  • fatigue strength

  • statistical evaluation

  • S-N-curve

  • Maximum Likelihood Method

  • DIN 50100

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