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Inhomogeneity Screening Criterion for the ASTM E1921 T0 Estimate Based on the SINTAP Lower-Tail Methodology.

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Title: Inhomogeneity Screening Criterion for the ASTM E1921 T0 Estimate Based on the SINTAP Lower-Tail Methodology.
Authors: Wallin, Kim R. W.1 kim.wallin@vtt.fi
Source: Journal of Testing & Evaluation. Nov2012, Vol. 40 Issue 6, p867-874. 8p.
Subjects: Brittle fractures, Estimation theory, Maximum likelihood statistics, Steel, Fracture mechanics
Abstract: The master curve brittle fracture toughness estimation method described in the ASTM E 1921-11 test standard is based on a theoretical scatter and size effect assumption and makes use of a maximum likelihood estimation method to determine the fracture toughness transition temperature T0. The estimation method in E1921-11 is valid only for macroscopically homogeneous steels. If the steel is inhomogeneous, the maximum likelihood method applied in E1921-11 becomes unreliable. Here, a simple screening criterion, based on the S1NTAP lower-tail estimation method, is proposed, and the efficiency and limitations of the criterion are shown for a variety of different types of inhomogeneity. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Testing & Evaluation is the property of ASTM International and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="DE" term="%22Brittle+fractures%22">Brittle fractures</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink><br /><searchLink fieldCode="DE" term="%22Maximum+likelihood+statistics%22">Maximum likelihood statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Steel%22">Steel</searchLink><br /><searchLink fieldCode="DE" term="%22Fracture+mechanics%22">Fracture mechanics</searchLink>
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  Data: The master curve brittle fracture toughness estimation method described in the ASTM E 1921-11 test standard is based on a theoretical scatter and size effect assumption and makes use of a maximum likelihood estimation method to determine the fracture toughness transition temperature T0. The estimation method in E1921-11 is valid only for macroscopically homogeneous steels. If the steel is inhomogeneous, the maximum likelihood method applied in E1921-11 becomes unreliable. Here, a simple screening criterion, based on the S1NTAP lower-tail estimation method, is proposed, and the efficiency and limitations of the criterion are shown for a variety of different types of inhomogeneity. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Testing & Evaluation is the property of ASTM International and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1520/JTE104241
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      – Code: eng
        Text: English
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        PageCount: 8
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    Subjects:
      – SubjectFull: Brittle fractures
        Type: general
      – SubjectFull: Estimation theory
        Type: general
      – SubjectFull: Maximum likelihood statistics
        Type: general
      – SubjectFull: Steel
        Type: general
      – SubjectFull: Fracture mechanics
        Type: general
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      – TitleFull: Inhomogeneity Screening Criterion for the ASTM E1921 T0 Estimate Based on the SINTAP Lower-Tail Methodology.
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            NameFull: Wallin, Kim R. W.
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            – D: 01
              M: 11
              Text: Nov2012
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              Y: 2012
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