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

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Fracture toughness
Statistical methods

Keywords

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

Cite this

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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.",
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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

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KW - rank probability

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