Objective assessment of scatter and size effects in the Euro fracture toughness data set

Kim Wallin

    Research output: Contribution to journalArticleScientificpeer-review

    2 Citations (Scopus)

    Abstract

    One of the largest and best characterized fracture toughness data sets is the so called Euro data set developed in aEuropean co-operation project some time ago. Probably the most objective analysis of the data set was made using adistribution comparison method. Recently, an improvement of the method has been achieved by combining the Rankprobability estimates with Binomial probability estimates. The combination of Rank and Binomial probabilityestimates double the number of independent individual point estimates, making the overall estimate more accuratewith respect to the true value. The strength in this statistical analysis method lies in the objectiveness of the result.This new statistical assessment method is here applied to analyze the Euro fracture toughness data set once more. Theresults form a new basis for micro-mechanistic modeling of cleavage fracture.
    Original languageEnglish
    Pages (from-to)833-838
    Number of pages6
    JournalProcedia Engineering
    Volume10
    DOIs
    Publication statusPublished - 2011
    MoE publication typeA1 Journal article-refereed
    Event11th International Conference on the Mechanical Behavior of Materials, ICM11 - Como, Italy
    Duration: 5 Jun 20119 Jun 2011

    Fingerprint

    Fracture toughness
    Statistical methods

    Keywords

    • Binomial probability
    • cleavage fracture
    • Euro data set
    • master curve
    • rank probability
    • statistical analysis

    Cite this

    @article{3741741438344989b6e01d2f7104e0fe,
    title = "Objective assessment of scatter and size effects in the Euro fracture toughness data set",
    abstract = "One of the largest and best characterized fracture toughness data sets is the so called Euro data set developed in aEuropean co-operation project some time ago. Probably the most objective analysis of the data set was made using adistribution comparison method. Recently, an improvement of the method has been achieved by combining the Rankprobability estimates with Binomial probability estimates. The combination of Rank and Binomial probabilityestimates double the number of independent individual point estimates, making the overall estimate more accuratewith respect to the true value. The strength in this statistical analysis method lies in the objectiveness of the result.This new statistical assessment method is here applied to analyze the Euro fracture toughness data set once more. Theresults form a new basis for micro-mechanistic modeling of cleavage fracture.",
    keywords = "Binomial probability, cleavage fracture, Euro data set, master curve, rank probability, statistical analysis",
    author = "Kim Wallin",
    year = "2011",
    doi = "10.1016/j.proeng.2011.04.137",
    language = "English",
    volume = "10",
    pages = "833--838",
    journal = "Procedia Engineering",
    issn = "1877-7058",
    publisher = "Elsevier",

    }

    Objective assessment of scatter and size effects in the Euro fracture toughness data set. / Wallin, Kim.

    In: Procedia Engineering, Vol. 10, 2011, p. 833-838.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Objective assessment of scatter and size effects in the Euro fracture toughness data set

    AU - Wallin, Kim

    PY - 2011

    Y1 - 2011

    N2 - One of the largest and best characterized fracture toughness data sets is the so called Euro data set developed in aEuropean co-operation project some time ago. Probably the most objective analysis of the data set was made using adistribution comparison method. Recently, an improvement of the method has been achieved by combining the Rankprobability estimates with Binomial probability estimates. The combination of Rank and Binomial probabilityestimates double the number of independent individual point estimates, making the overall estimate more accuratewith respect to the true value. The strength in this statistical analysis method lies in the objectiveness of the result.This new statistical assessment method is here applied to analyze the Euro fracture toughness data set once more. Theresults form a new basis for micro-mechanistic modeling of cleavage fracture.

    AB - One of the largest and best characterized fracture toughness data sets is the so called Euro data set developed in aEuropean co-operation project some time ago. Probably the most objective analysis of the data set was made using adistribution comparison method. Recently, an improvement of the method has been achieved by combining the Rankprobability estimates with Binomial probability estimates. The combination of Rank and Binomial probabilityestimates double the number of independent individual point estimates, making the overall estimate more accuratewith respect to the true value. The strength in this statistical analysis method lies in the objectiveness of the result.This new statistical assessment method is here applied to analyze the Euro fracture toughness data set once more. Theresults form a new basis for micro-mechanistic modeling of cleavage fracture.

    KW - Binomial probability

    KW - cleavage fracture

    KW - Euro data set

    KW - master curve

    KW - rank probability

    KW - statistical analysis

    U2 - 10.1016/j.proeng.2011.04.137

    DO - 10.1016/j.proeng.2011.04.137

    M3 - Article

    VL - 10

    SP - 833

    EP - 838

    JO - Procedia Engineering

    JF - Procedia Engineering

    SN - 1877-7058

    ER -