Size effect in fatigue based on the extreme value distribution of defects

Lasse Makkonen; R. Rabb; Maria TIkanmäki

doi:10.1016/j.msea.2013.11.045

Size effect in fatigue based on the extreme value distribution of defects

Lasse Makkonen, R. Rabb, Maria TIkanmäki

Wärtsilä Oyj Abp

Research output: Contribution to journal › Article › Scientific › peer-review

19 Citations (Scopus)

Abstract

Fatigue limits need to be extrapolated from test specimens to manufactured products. The relevant industry standards provide a method for this by utilizing the statistics of defects in the material. We show here that the standard method involves an inappropriate definition. Moreover, it relates to the characteristic size of the largest defects, which is not associated with any unique exceedance probability. We outline a more consistent method which, by a quantile of the largest defects, relates the sample size effect to the desired failure probability. This method is applicable also to samples smaller than the test specimen.

Original language	English
Pages (from-to)	68-71
Number of pages	4
Journal	Materials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing
Volume	594
DOIs	https://doi.org/10.1016/j.msea.2013.11.045
Publication status	Published - 2014
MoE publication type	A1 Journal article-refereed

Keywords

fatigue
gracture
material defect
microanalysis
size effect
steel

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10.1016/j.msea.2013.11.045

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abstract = "Fatigue limits need to be extrapolated from test specimens to manufactured products. The relevant industry standards provide a method for this by utilizing the statistics of defects in the material. We show here that the standard method involves an inappropriate definition. Moreover, it relates to the characteristic size of the largest defects, which is not associated with any unique exceedance probability. We outline a more consistent method which, by a quantile of the largest defects, relates the sample size effect to the desired failure probability. This method is applicable also to samples smaller than the test specimen.",

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AU - Makkonen, Lasse

AU - Rabb, R.

AU - TIkanmäki, Maria

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AB - Fatigue limits need to be extrapolated from test specimens to manufactured products. The relevant industry standards provide a method for this by utilizing the statistics of defects in the material. We show here that the standard method involves an inappropriate definition. Moreover, it relates to the characteristic size of the largest defects, which is not associated with any unique exceedance probability. We outline a more consistent method which, by a quantile of the largest defects, relates the sample size effect to the desired failure probability. This method is applicable also to samples smaller than the test specimen.

KW - fatigue

KW - gracture

KW - material defect

KW - microanalysis

KW - size effect

KW - steel

U2 - 10.1016/j.msea.2013.11.045

DO - 10.1016/j.msea.2013.11.045

M3 - Article

SN - 0921-5093

VL - 594

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EP - 71

JO - Materials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing

JF - Materials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing

ER -

Size effect in fatigue based on the extreme value distribution of defects

Abstract

Keywords

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