Constraint effects on reference temperature, To, for ferritic steels in the transition region

C. Ruggieri, Robert Dodds (Corresponding Author), Kim Wallin

Research output: Contribution to journalArticleScientificpeer-review

50 Citations (Scopus)

Abstract

This study presents the methodology and key results derived from stochastic simulations to examine the effect of constraint loss on the reference temperature, F0 at which the median fracture toughness of 1 T size specimens equals 100 MPa for ferritic steels in the transition region. Using the Weibull stress as a local fracture parameter for transgranular cleavage, nonlinear three dimensional finite element analyses provide a quantitative description of constraint loss along crack fronts in deeply-notched SE(B) specimens in terms of a toughness scaling model. The simulations employ a Monte Carlo procedure to generate trial sets of small-scale yielding fracture toughness data which follow the three parameter Weibull distribution prescribed in the ASTM draft standard to determine T0. Reserve corrections of the SSY values using the toughness scaling model predict large-scale yielding values (that would be measured in a fracture test). The differences in reference temperatures for the SSY and LSY toughness values represent the shift due to constraint loss. Results of extensive experimental testing programs, complemented by these simulations, provide key information needed by testing standard committees to specify appropriate censoring (deformation) limits on measured fracture toughness data relative to specimen size and material flow properties.
Original languageEnglish
Pages (from-to)19-36
JournalEngineering Fracture Mechanics
Volume60
Issue number1
DOIs
Publication statusPublished - 1998
MoE publication typeA1 Journal article-refereed

Fingerprint

Ferritic steel
Toughness
Fracture toughness
Weibull distribution
Testing
Temperature
Cracks

Keywords

  • steel
  • ferrite
  • fracture toughness
  • finite element method
  • random processes
  • computer simulation
  • cracks
  • weibull distribution
  • Monte Carlo methods
  • mathematical models
  • cleavage fracture
  • constraint
  • local approach
  • master curve
  • testing standards

Cite this

Ruggieri, C. ; Dodds, Robert ; Wallin, Kim. / Constraint effects on reference temperature, To, for ferritic steels in the transition region. In: Engineering Fracture Mechanics. 1998 ; Vol. 60, No. 1. pp. 19-36.
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abstract = "This study presents the methodology and key results derived from stochastic simulations to examine the effect of constraint loss on the reference temperature, F0 at which the median fracture toughness of 1 T size specimens equals 100 MPa for ferritic steels in the transition region. Using the Weibull stress as a local fracture parameter for transgranular cleavage, nonlinear three dimensional finite element analyses provide a quantitative description of constraint loss along crack fronts in deeply-notched SE(B) specimens in terms of a toughness scaling model. The simulations employ a Monte Carlo procedure to generate trial sets of small-scale yielding fracture toughness data which follow the three parameter Weibull distribution prescribed in the ASTM draft standard to determine T0. Reserve corrections of the SSY values using the toughness scaling model predict large-scale yielding values (that would be measured in a fracture test). The differences in reference temperatures for the SSY and LSY toughness values represent the shift due to constraint loss. Results of extensive experimental testing programs, complemented by these simulations, provide key information needed by testing standard committees to specify appropriate censoring (deformation) limits on measured fracture toughness data relative to specimen size and material flow properties.",
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Constraint effects on reference temperature, To, for ferritic steels in the transition region. / Ruggieri, C.; Dodds, Robert (Corresponding Author); Wallin, Kim.

In: Engineering Fracture Mechanics, Vol. 60, No. 1, 1998, p. 19-36.

Research output: Contribution to journalArticleScientificpeer-review

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