Application of the master curve to inhomogeneous ferritic/martensitic steel

M. A. Sokolov; H. Tanigawa

doi:10.1016/j.jnucmat.2007.03.105

Application of the master curve to inhomogeneous ferritic/martensitic steel

M. A. Sokolov
, H. Tanigawa

Research output: Contribution to journal › Article › peer-review

23 Scopus citations

Abstract

Three sizes of fracture toughness specimens of F82H steel were tested to verify the master curve concept. Specimens were tested at several temperatures in the transition region with at least four tests at each temperature to allow application of the Weibull statistic/master curve analysis procedure. The largest specimens were 1 T C(T) compact specimens. Broken halves of 1 T C(T) specimens were later used to machine and test smaller, 0.4 T C(T) and 0.18 T DC(T), specimens more suitable for irradiation experiments. The scatter of fracture toughness was rather high relative to scatter predicted by conventional master curve concept, but was similar for larger and smaller specimens. It was assumed that this material exhibited inhomogeneity of fracture toughness. Random inhomogeneity analysis provides a very good description of the scatter of fracture toughness data of F82H steel. At the same time, values of T₀ derived using conventional and random inhomogeneity analyses are similar. TEM and SEM analysis helped identify microstructural features that might be responsible for such behavior.

Original language	English
Pages (from-to)	587-592
Number of pages	6
Journal	Journal of Nuclear Materials
Volume	367-370 A
Issue number	SPEC. ISS.
DOIs	https://doi.org/10.1016/j.jnucmat.2007.03.105
State	Published - Aug 1 2007

Funding

This research was sponsored by the Office of Fusion Energy Sciences, US Department of Energy, under Contract DE-AC05-00OR22725 with UTBattelle, LLC. The authors thank M. Scibetta from SCK-CEN, Belgium for his assistance with RI analysis of the data.

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10.1016/j.jnucmat.2007.03.105

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title = "Application of the master curve to inhomogeneous ferritic/martensitic steel",

abstract = "Three sizes of fracture toughness specimens of F82H steel were tested to verify the master curve concept. Specimens were tested at several temperatures in the transition region with at least four tests at each temperature to allow application of the Weibull statistic/master curve analysis procedure. The largest specimens were 1 T C(T) compact specimens. Broken halves of 1 T C(T) specimens were later used to machine and test smaller, 0.4 T C(T) and 0.18 T DC(T), specimens more suitable for irradiation experiments. The scatter of fracture toughness was rather high relative to scatter predicted by conventional master curve concept, but was similar for larger and smaller specimens. It was assumed that this material exhibited inhomogeneity of fracture toughness. Random inhomogeneity analysis provides a very good description of the scatter of fracture toughness data of F82H steel. At the same time, values of T0 derived using conventional and random inhomogeneity analyses are similar. TEM and SEM analysis helped identify microstructural features that might be responsible for such behavior.",

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AB - Three sizes of fracture toughness specimens of F82H steel were tested to verify the master curve concept. Specimens were tested at several temperatures in the transition region with at least four tests at each temperature to allow application of the Weibull statistic/master curve analysis procedure. The largest specimens were 1 T C(T) compact specimens. Broken halves of 1 T C(T) specimens were later used to machine and test smaller, 0.4 T C(T) and 0.18 T DC(T), specimens more suitable for irradiation experiments. The scatter of fracture toughness was rather high relative to scatter predicted by conventional master curve concept, but was similar for larger and smaller specimens. It was assumed that this material exhibited inhomogeneity of fracture toughness. Random inhomogeneity analysis provides a very good description of the scatter of fracture toughness data of F82H steel. At the same time, values of T0 derived using conventional and random inhomogeneity analyses are similar. TEM and SEM analysis helped identify microstructural features that might be responsible for such behavior.

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Application of the master curve to inhomogeneous ferritic/martensitic steel

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