Short fatigue crack growth behaviour: data analysis effects

J.M. Kendall, J.E. King

    Research output: Contribution to journalArticle

    Abstract

    Consideration of the influence of test technique and data analysis method is important for data comparison and design purposes. The paper highlights the effects of replication interval, crack growth rate averaging and curve-fitting procedures on crack growth rate results for a Ni-base alloy. It is shown that an upper bound crack growth rate line is not appropriate for use in fatigue design, and that the derivative of a quadratic fit to the a vs N data looks promising. However, this type of averaging, or curve fitting, is not useful in developing an understanding of microstructure/crack tip interactions. For this purpose, simple replica-to-replica growth rate calculations are preferable. © 1988.

    Original languageEnglish
    Pages (from-to)163-170
    Number of pages8
    JournalInternational Journal of Fatigue
    Volume10
    Issue number3
    DOIs
    Publication statusPublished - Jul 1988

    Fingerprint

    Crack Growth Rate
    Fatigue Crack Growth
    Fatigue crack propagation
    Data analysis
    Curve fitting
    Replica
    Crack propagation
    Averaging
    Crack Tip
    Fatigue
    Replication
    Microstructure
    Crack tips
    Upper bound
    Derivative
    Interval
    Line
    Fatigue of materials
    Derivatives
    Interaction

    Keywords

    • crack initiation
    • curve fitting
    • data analysis
    • fatigue
    • Ni-base alloy
    • short crack growth

    Cite this

    Kendall, J.M. ; King, J.E. / Short fatigue crack growth behaviour : data analysis effects. In: International Journal of Fatigue. 1988 ; Vol. 10, No. 3. pp. 163-170.
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    Short fatigue crack growth behaviour : data analysis effects. / Kendall, J.M.; King, J.E.

    In: International Journal of Fatigue, Vol. 10, No. 3, 07.1988, p. 163-170.

    Research output: Contribution to journalArticle

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