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  • Heuristic deterministic models are often proposed to reproduce SN and εN fields as well as crack growth curves aiming at providing basic material characterization to be used in lifetime design. Usually, they arise from the intuition of the researchers and are supported by experimental data, sometimes being complemented by micromechanical considerations based on good knowledge of physical and metallurgical properties of the material. In spite of their utility, this procedure implies serious limitations. In this work, some new methodological suggestions are presented allowing the functional structure of the problem under consideration to be derived, in an attempt of avoiding arbitrary assumptions. The relevant variables involved in the problem are recognized from experimental evidence, a reduced set of dimensionless variables is selected using dimensional analysis, a set of compatibility conditions are established and the constraints to be fulfilled by the model considered.
  • Heuristic deterministic models are often proposed to reproduce SN and εN fields as well as crack growth curves aiming at providing basic material characterization to be used in lifetime design. Usually, they arise from the intuition of the researchers and are supported by experimental data, sometimes being complemented by micromechanical considerations based on good knowledge of physical and metallurgical properties of the material. In spite of their utility, this procedure implies serious limitations. In this work, some new methodological suggestions are presented allowing the functional structure of the problem under consideration to be derived, in an attempt of avoiding arbitrary assumptions. The relevant variables involved in the problem are recognized from experimental evidence, a reduced set of dimensionless variables is selected using dimensional analysis, a set of compatibility conditions are established and the constraints to be fulfilled by the model considered. (en)
Title
  • Using statistical compatibility to derive advanced probabilistic fatigue models
  • Using statistical compatibility to derive advanced probabilistic fatigue models (en)
skos:prefLabel
  • Using statistical compatibility to derive advanced probabilistic fatigue models
  • Using statistical compatibility to derive advanced probabilistic fatigue models (en)
skos:notation
  • RIV/68081723:_____/10:00355184!RIV11-AV0-68081723
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(AV0Z20410507)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 294831
http://linked.open...ai/riv/idVysledku
  • RIV/68081723:_____/10:00355184
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Fatigue models; Statistical compatibility; Functional equations (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [24DE3AAE590B]
http://linked.open...i/riv/nazevZdroje
  • Procedia Engineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2
http://linked.open...iv/tvurceVysledku
  • Fernández-Canteli, A.
  • Seitl, Stanislav
  • Castillo, E.
  • López-Aenlle, M.
http://linked.open...n/vavai/riv/zamer
issn
  • 1877-7058
number of pages
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