Master Curve analysis of inhomogeneous ferritic steels

Kim Wallin (Corresponding Author), Pekka Nevasmaa, Anssi Laukkanen, Tapio Planman

    Research output: Contribution to journalArticleScientificpeer-review

    76 Citations (Scopus)

    Abstract

    The basic Master Curve (MC) method for analysis of brittle fracture test results is intended for macroscopically homogeneous ferritic steels only. In reality, the steels in question are seldom fully macroscopically homogeneous. The materials' toughness may depend on the specimen location in the sample. Inhomogeneity may be deterministic or random (or a mixture of both) in nature. Deterministic inhomogeneity can be accounted for, provided that the specimen extraction histories are known and enough specimens are tested. Random inhomogeneity is much more difficult to handle. The structural integrity assessment procedure SINTAP contains a lower tail modification of the MC analysis. This enables conservative lower bound type fracture toughness estimates also for inhomogeneous materials. The problem is that the SINTAP method, does not provide information of the tougher material. Therefore, a probabilistic description of the complete material is not possible. In this paper, a new comparatively simple extension of the MC is introduced for inhomogeneities governed by two separate MC distributions. The extension is shown to be extremely efficient in describing e.g. weld heat-affected zone (HAZ) data. In addition, a simple method for the analysis of random inhomogeneous material consisting of mixed data is presented. The method is also applicable for data sets including several different materials.
    Original languageEnglish
    Pages (from-to)2329 - 2346
    Number of pages18
    JournalEngineering Fracture Mechanics
    Volume71
    Issue number16-17
    DOIs
    Publication statusPublished - 2004
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Ferritic steel
    Steel
    Brittle fracture
    Heat affected zone
    Structural integrity
    Toughness
    Fracture toughness
    Welds

    Keywords

    • Master Curve
    • ferritic steels
    • inhomogeneity
    • brittle fracture
    • statistical analysis
    • fracture toughness
    • heat affected zones
    • weld
    • ProperTune

    Cite this

    Wallin, Kim ; Nevasmaa, Pekka ; Laukkanen, Anssi ; Planman, Tapio. / Master Curve analysis of inhomogeneous ferritic steels. In: Engineering Fracture Mechanics. 2004 ; Vol. 71, No. 16-17. pp. 2329 - 2346.
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    abstract = "The basic Master Curve (MC) method for analysis of brittle fracture test results is intended for macroscopically homogeneous ferritic steels only. In reality, the steels in question are seldom fully macroscopically homogeneous. The materials' toughness may depend on the specimen location in the sample. Inhomogeneity may be deterministic or random (or a mixture of both) in nature. Deterministic inhomogeneity can be accounted for, provided that the specimen extraction histories are known and enough specimens are tested. Random inhomogeneity is much more difficult to handle. The structural integrity assessment procedure SINTAP contains a lower tail modification of the MC analysis. This enables conservative lower bound type fracture toughness estimates also for inhomogeneous materials. The problem is that the SINTAP method, does not provide information of the tougher material. Therefore, a probabilistic description of the complete material is not possible. In this paper, a new comparatively simple extension of the MC is introduced for inhomogeneities governed by two separate MC distributions. The extension is shown to be extremely efficient in describing e.g. weld heat-affected zone (HAZ) data. In addition, a simple method for the analysis of random inhomogeneous material consisting of mixed data is presented. The method is also applicable for data sets including several different materials.",
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    Master Curve analysis of inhomogeneous ferritic steels. / Wallin, Kim (Corresponding Author); Nevasmaa, Pekka; Laukkanen, Anssi; Planman, Tapio.

    In: Engineering Fracture Mechanics, Vol. 71, No. 16-17, 2004, p. 2329 - 2346.

    Research output: Contribution to journalArticleScientificpeer-review

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