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Using statistical compatibility to derive advanced probabilistic fatigue models

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    SYSNO ASEP0355184
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JOstatní články
    TitleUsing statistical compatibility to derive advanced probabilistic fatigue models
    Author(s) Fernández-Canteli, A. (ES)
    Castillo, E. (ES)
    López-Aenlle, M. (ES)
    Seitl, Stanislav (UFM-A) RID, ORCID
    Source TitleProcedia Engineering. - Amsterdam : Elsevier BV
    Roč. 2, č. 1 (2010), s. 1131-1140
    Number of pages10 s.
    ActionFatigue 2010
    Event date06.06.2010-11.06.2010
    VEvent locationPraha
    CountryCZ - Czech Republic
    Event typeWRD
    Languageeng - English
    CountryNL - Netherlands
    KeywordsFatigue models ; Statistical compatibility ; Functional equations
    Subject RIVJL - Materials Fatigue, Friction Mechanics
    CEZAV0Z20410507 - UFM-A (2005-2011)
    DOI10.1016/j.proeng.2010.03.122
    AnnotationHeuristic deterministic models are often proposed to reproduce S−N and ε−N 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.
    WorkplaceInstitute of Physics of Materials
    ContactYvonna Šrámková, sramkova@ipm.cz, Tel.: 532 290 485
    Year of Publishing2011
Number of the records: 1  

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