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Description
  • While the problem of deciding which statistical model is the “true one in fatigue studies has occupied investigators for many years, only the analysis of the lower tail of the fatigue lifetime distribution, i.e. the distribution of minima values, is relevant for design purposes. Accordingly, in this work a probabilistic fatigue model for analysis of the S–N field is suggested after justification of Weibull or Gumbel domains of attraction, and the consequences of its extension to other cases are discussed. Finally, the ProFatigue software is applied for assessment of selected concrete fatigue data.
  • While the problem of deciding which statistical model is the “true one in fatigue studies has occupied investigators for many years, only the analysis of the lower tail of the fatigue lifetime distribution, i.e. the distribution of minima values, is relevant for design purposes. Accordingly, in this work a probabilistic fatigue model for analysis of the S–N field is suggested after justification of Weibull or Gumbel domains of attraction, and the consequences of its extension to other cases are discussed. Finally, the ProFatigue software is applied for assessment of selected concrete fatigue data. (en)
Title
  • Probabilistic description of the S–N field of concrete using Weibull and Gumbel fatigue software
  • Probabilistic description of the S–N field of concrete using Weibull and Gumbel fatigue software (en)
skos:prefLabel
  • Probabilistic description of the S–N field of concrete using Weibull and Gumbel fatigue software
  • Probabilistic description of the S–N field of concrete using Weibull and Gumbel fatigue software (en)
skos:notation
  • RIV/68081723:_____/13:00422408!RIV14-AV0-68081723
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  • I
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  • 99657
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  • RIV/68081723:_____/13:00422408
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  • Weibull distribution; Gumbel distribution; probabilistic S–N field; software (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AD7899656D55]
http://linked.open...v/mistoKonaniAkce
  • Brno
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  • Brno
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  • Proceedings of the 11th International Probabilistic Workshop
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  • Seitl, Stanislav
  • Keršner, Z.
  • Canteli, A.
  • Przybilla, C.
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • Ing. Vladislav Pokorný – LITERA
https://schema.org/isbn
  • 978-80-214-4800-1
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