A scaling approach to size effect modeling of J(c) CDF for 20MnMoNi55 reactor steel in transition temperature region
2022
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Ever since the 1980s there is a sustained interest in the size effect, as one of the most pronounced consequences of fracture mechanics. In the present study, the investigation of the size effect is focused on estimation of the Weibull cumulative distribution function (CDF) of the critical value of the J-integral (J(c)) in the transition temperature region under constraint of a small statistical sample size. Specifically, the J(c) experimental data correspond to the C(T) specimen testing of the reactor pressure-vessel steel 20MnMoNi55 at only two geometrically-similar sizes. Thus, a simple approximate scaling algorithm has been developed to tackle the effect of the C(T) specimen size on the J(c) CDF under these circumstances. Due to the specific form of the two-parameter Weibull CDF, F(J(c) vertical bar beta, eta), the scaling procedure is applied according to a two-step scheme. First, the J(c)-scaling is performed to ensure the approximate overlap of the points that correspond to the ...CDF value F(J(c) = eta) = 1 - 1/e approximate to 0.632 for different C(T) specimen widths (W), which assumes eta.W-kappa= const. Second, the F-scaling is performed to ensure the equality of the slopes of the CDF in the scaled (F.W(xi)vs. J(c).W-kappa) space. The objective of the sketched approach is to obtain a size-dependent J(c) CDF that encapsulates a reasonably conservative data extrapolation.
Кључне речи:
Weibull distribution / Size effect / Scaling / Lower bound / Cumulative distribution functionИзвор:
Engineering Failure Analysis, 2022, 131Издавач:
- Elsevier
Финансирање / пројекти:
- Ministry of Education, Science and Technological Development of the Republic of Serbia
Напомена:
- The authors regret that a typographical error was made in Eqs. (15), (16), (20). In these three forms of the Jc cumulative distribution function (CDF), we omitted the minus sign in front of the argument of the exponential function. Corrigendum at:https://rimsi.imsi.bg.ac.rs/handle/123456789/1577
DOI: 10.1016/j.engfailanal.2021.105838
ISSN: 1350-6307
WoS: 000723573100002
Scopus: 2-s2.0-85119045568
Институција/група
Institut za multidisciplinarna istraživanjaTY - JOUR AU - Mastilović, Sreten AU - Đorđević, Branislav AU - Sedmak, Aleksandar PY - 2022 UR - http://rimsi.imsi.bg.ac.rs/handle/123456789/1536 AB - Ever since the 1980s there is a sustained interest in the size effect, as one of the most pronounced consequences of fracture mechanics. In the present study, the investigation of the size effect is focused on estimation of the Weibull cumulative distribution function (CDF) of the critical value of the J-integral (J(c)) in the transition temperature region under constraint of a small statistical sample size. Specifically, the J(c) experimental data correspond to the C(T) specimen testing of the reactor pressure-vessel steel 20MnMoNi55 at only two geometrically-similar sizes. Thus, a simple approximate scaling algorithm has been developed to tackle the effect of the C(T) specimen size on the J(c) CDF under these circumstances. Due to the specific form of the two-parameter Weibull CDF, F(J(c) vertical bar beta, eta), the scaling procedure is applied according to a two-step scheme. First, the J(c)-scaling is performed to ensure the approximate overlap of the points that correspond to the CDF value F(J(c) = eta) = 1 - 1/e approximate to 0.632 for different C(T) specimen widths (W), which assumes eta.W-kappa= const. Second, the F-scaling is performed to ensure the equality of the slopes of the CDF in the scaled (F.W(xi)vs. J(c).W-kappa) space. The objective of the sketched approach is to obtain a size-dependent J(c) CDF that encapsulates a reasonably conservative data extrapolation. PB - Elsevier T2 - Engineering Failure Analysis T1 - A scaling approach to size effect modeling of J(c) CDF for 20MnMoNi55 reactor steel in transition temperature region VL - 131 DO - 10.1016/j.engfailanal.2021.105838 ER -
@article{ author = "Mastilović, Sreten and Đorđević, Branislav and Sedmak, Aleksandar", year = "2022", abstract = "Ever since the 1980s there is a sustained interest in the size effect, as one of the most pronounced consequences of fracture mechanics. In the present study, the investigation of the size effect is focused on estimation of the Weibull cumulative distribution function (CDF) of the critical value of the J-integral (J(c)) in the transition temperature region under constraint of a small statistical sample size. Specifically, the J(c) experimental data correspond to the C(T) specimen testing of the reactor pressure-vessel steel 20MnMoNi55 at only two geometrically-similar sizes. Thus, a simple approximate scaling algorithm has been developed to tackle the effect of the C(T) specimen size on the J(c) CDF under these circumstances. Due to the specific form of the two-parameter Weibull CDF, F(J(c) vertical bar beta, eta), the scaling procedure is applied according to a two-step scheme. First, the J(c)-scaling is performed to ensure the approximate overlap of the points that correspond to the CDF value F(J(c) = eta) = 1 - 1/e approximate to 0.632 for different C(T) specimen widths (W), which assumes eta.W-kappa= const. Second, the F-scaling is performed to ensure the equality of the slopes of the CDF in the scaled (F.W(xi)vs. J(c).W-kappa) space. The objective of the sketched approach is to obtain a size-dependent J(c) CDF that encapsulates a reasonably conservative data extrapolation.", publisher = "Elsevier", journal = "Engineering Failure Analysis", title = "A scaling approach to size effect modeling of J(c) CDF for 20MnMoNi55 reactor steel in transition temperature region", volume = "131", doi = "10.1016/j.engfailanal.2021.105838" }
Mastilović, S., Đorđević, B.,& Sedmak, A.. (2022). A scaling approach to size effect modeling of J(c) CDF for 20MnMoNi55 reactor steel in transition temperature region. in Engineering Failure Analysis Elsevier., 131. https://doi.org/10.1016/j.engfailanal.2021.105838
Mastilović S, Đorđević B, Sedmak A. A scaling approach to size effect modeling of J(c) CDF for 20MnMoNi55 reactor steel in transition temperature region. in Engineering Failure Analysis. 2022;131. doi:10.1016/j.engfailanal.2021.105838 .
Mastilović, Sreten, Đorđević, Branislav, Sedmak, Aleksandar, "A scaling approach to size effect modeling of J(c) CDF for 20MnMoNi55 reactor steel in transition temperature region" in Engineering Failure Analysis, 131 (2022), https://doi.org/10.1016/j.engfailanal.2021.105838 . .