1985
DOI: 10.1016/0013-7944(85)90167-5
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The size effect in KICresults

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Cited by 224 publications
(71 citation statements)
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“…In order to directly compare toughness data obtained from different thickness specimens, a statistical size correction is employed to equilibrate the highly stressed material volume sampled at the crack tip by cleavage. Each value of toughness K Jc data measured for a particular specimen thickness is converted to an equivalent value for a reference 1 T specimen with thickness B 1T = 25 mm using the following equation [188]:…”
Section: Weibull Statistical Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to directly compare toughness data obtained from different thickness specimens, a statistical size correction is employed to equilibrate the highly stressed material volume sampled at the crack tip by cleavage. Each value of toughness K Jc data measured for a particular specimen thickness is converted to an equivalent value for a reference 1 T specimen with thickness B 1T = 25 mm using the following equation [188]:…”
Section: Weibull Statistical Modelmentioning
confidence: 99%
“…The present version is ASTM E1921-11 [18]. This standard is based on the master curve method developed primarily by Wallin [178,188,[190][191][192]194] as described above, and provides the procedures for determination of the reference temperature T 0 to characterize the fracture toughness K Jc of ferritic steels that experience onset of cleavage cracking at elastic or elastic-plastic instabilities in the ductile-to-brittle transition region. The specific types of ferritic steels have the yield strengths from 275 to 825 MPa.…”
Section: Astm E1921 Developmentmentioning
confidence: 99%
“…Merkle [18] has offered an alternative method of accounting for plasticity, suggesting that the difference between small and large specimen data is due to constraint differences. This explanation seems unlikely in view of Wallin's analysis cited earlier [4].…”
Section: [2)mentioning
confidence: 54%
“…At the same time, the scatter of the material toughness is lower. This will be captured with the Weibull distribution of the Master-Curve- 2018, Universitat Politècnica de València concept ( [10,11]) in the brittle-ductile transition region. For the probability of failure P f a three-parametric distribution is common in which two parameters are predefined.…”
Section: Fracture Toughnessmentioning
confidence: 99%