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Comparison of two recent approaches to DTB characterization of ferritic steels

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2023
1-s2.0-S2452321623004754-main.pdf (933.6Kb)
Authors
Djordjević, Branislav
Mastilović, Sreten
Sedmak, Aleksandar
Dimic, Aleksandar
Sedmak, Simon
Arandjelovic, Mihajlo
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Abstract
The large scatter of the experimental fracture toughness data, characteristic of all ferritic steels in the ductile-to-brittle transition temperature region, imposed the need to include statistical methods for data processing. Due to the inherent stochasticity, the application of fracture mechanics concepts in the characterization of the DTB transition phenomenon has remained a challenging task over the past 50 years. Various models were developed based on statistical approach to data processing in order to capture the salient features of the phenomenon, but all of them have certain limitations because of the intrinsic complexity of the problem. However, all these models provided a solid basis for the continued development of new approaches in the characterization of DTB. Such two novel models are compared herein. They include size effects and utilize scaling of geometrically similar C(T) specimens, with the aim of obtaining predictions of the fracture toughness. Both proposed m...odels have the weakest link statistics in common. In the present study, the EURO fracture toughness data set for 22NiMoCr37 reactor steel is used and the experimental data obtained at temperature of -60 ºC is selected to demonstrate the accuracy of the estimates. The fracture toughness measure used is the critical value of the stress intensity factor used in the master curve KJc [MPa√m]. The obtained predictions are in good agreement with the experimental results, taking into account the inherent scatter of the experimental data. The estimate of KJc cumulative distribution function obtained by extrapolation using the novel two-stepscaling method is sensitive to the statistical size of the input data sets.

Keywords:
Ductile-to-brittle transition / Fracture toughness / Ferritic steels / Statistical processing
Source:
Procedia Structural Integrity, 2023, 47, 589-596
Publisher:
  • Elsevier B.V.
Funding / projects:
  • This research was supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia.

DOI: 10.1016/j.prostr.2023.07.065

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http://rimsi.imsi.bg.ac.rs/handle/123456789/2069
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Institut za multidisciplinarna istraživanja
TY  - CONF
AU  - Djordjević, Branislav
AU  - Mastilović, Sreten
AU  - Sedmak, Aleksandar
AU  - Dimic, Aleksandar
AU  - Sedmak, Simon
AU  - Arandjelovic, Mihajlo
PY  - 2023
UR  - http://rimsi.imsi.bg.ac.rs/handle/123456789/2069
AB  - The large scatter of the experimental fracture toughness data, characteristic of all ferritic steels in the ductile-to-brittle transition
temperature region, imposed the need to include statistical methods for data processing. Due to the inherent stochasticity, the
application of fracture mechanics concepts in the characterization of the DTB transition phenomenon has remained a challenging
task over the past 50 years. Various models were developed based on statistical approach to data processing in order to capture
the salient features of the phenomenon, but all of them have certain limitations because of the intrinsic complexity of the
problem. However, all these models provided a solid basis for the continued development of new approaches in the
characterization of DTB. Such two novel models are compared herein. They include size effects and utilize scaling of
geometrically similar C(T) specimens, with the aim of obtaining predictions of the fracture toughness. Both proposed models
have the weakest link statistics in common. In the present study, the EURO fracture toughness data set for 22NiMoCr37 reactor
steel is used and the experimental data obtained at temperature of -60 ºC is selected to demonstrate the accuracy of the estimates.
The fracture toughness measure used is the critical value of the stress intensity factor used in the master curve KJc [MPa√m].
The obtained predictions are in good agreement with the experimental results, taking into account the inherent scatter of the
experimental data. The estimate of KJc cumulative distribution function obtained by extrapolation using the novel two-stepscaling
method is sensitive to the statistical size of the input data sets.
PB  - Elsevier B.V.
C3  - Procedia Structural Integrity
T1  - Comparison of two recent approaches to DTB characterization of ferritic steels
EP  - 596
SP  - 589
VL  - 47
DO  - 10.1016/j.prostr.2023.07.065
ER  - 
@conference{
author = "Djordjević, Branislav and Mastilović, Sreten and Sedmak, Aleksandar and Dimic, Aleksandar and Sedmak, Simon and Arandjelovic, Mihajlo",
year = "2023",
abstract = "The large scatter of the experimental fracture toughness data, characteristic of all ferritic steels in the ductile-to-brittle transition
temperature region, imposed the need to include statistical methods for data processing. Due to the inherent stochasticity, the
application of fracture mechanics concepts in the characterization of the DTB transition phenomenon has remained a challenging
task over the past 50 years. Various models were developed based on statistical approach to data processing in order to capture
the salient features of the phenomenon, but all of them have certain limitations because of the intrinsic complexity of the
problem. However, all these models provided a solid basis for the continued development of new approaches in the
characterization of DTB. Such two novel models are compared herein. They include size effects and utilize scaling of
geometrically similar C(T) specimens, with the aim of obtaining predictions of the fracture toughness. Both proposed models
have the weakest link statistics in common. In the present study, the EURO fracture toughness data set for 22NiMoCr37 reactor
steel is used and the experimental data obtained at temperature of -60 ºC is selected to demonstrate the accuracy of the estimates.
The fracture toughness measure used is the critical value of the stress intensity factor used in the master curve KJc [MPa√m].
The obtained predictions are in good agreement with the experimental results, taking into account the inherent scatter of the
experimental data. The estimate of KJc cumulative distribution function obtained by extrapolation using the novel two-stepscaling
method is sensitive to the statistical size of the input data sets.",
publisher = "Elsevier B.V.",
journal = "Procedia Structural Integrity",
title = "Comparison of two recent approaches to DTB characterization of ferritic steels",
pages = "596-589",
volume = "47",
doi = "10.1016/j.prostr.2023.07.065"
}
Djordjević, B., Mastilović, S., Sedmak, A., Dimic, A., Sedmak, S.,& Arandjelovic, M.. (2023). Comparison of two recent approaches to DTB characterization of ferritic steels. in Procedia Structural Integrity
Elsevier B.V.., 47, 589-596.
https://doi.org/10.1016/j.prostr.2023.07.065
Djordjević B, Mastilović S, Sedmak A, Dimic A, Sedmak S, Arandjelovic M. Comparison of two recent approaches to DTB characterization of ferritic steels. in Procedia Structural Integrity. 2023;47:589-596.
doi:10.1016/j.prostr.2023.07.065 .
Djordjević, Branislav, Mastilović, Sreten, Sedmak, Aleksandar, Dimic, Aleksandar, Sedmak, Simon, Arandjelovic, Mihajlo, "Comparison of two recent approaches to DTB characterization of ferritic steels" in Procedia Structural Integrity, 47 (2023):589-596,
https://doi.org/10.1016/j.prostr.2023.07.065 . .

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