Determination of the temperature dependence of the fracture toughness of the metal of a thick-walled shell taking into account the inhomogeneity of the material
https://doi.org/10.26896/1028-6861-2023-89-3-46-56
Abstract
The estimates of the reference temperature T0, obtained for the base metal and the weld-seam metal of the Cr - Ni - Mo - V type (shell 200 mm thick) on the basis of statistical modeling by the Monte Carlo method are presented. T0 was determined according to the ASTM E1921 standard taking into account the inhomogeneity of the material. The sample size of the fracture toughness values KJC for T0 modeling was 12, 24 and 70. The Monte Carlo method was used for analysis of the correctness of metal identification (homogeneous/inhomogeneous). It is shown that sampling of 12 samples do not provide a reliable determination whether the metal is homogeneous or inhomogeneous (incorrect results were obtained in 50% of cases for the base metal and in 37% of cases for the weld-seam metal). When the sample size increased to 24 samples, the incorrect results were obtained in 5% of cases. The T0 values with allowance for the material inhomogeneity were determined by two ways: using a screening procedure and proceeding from the actual bimodal representation of the fracture toughness distribution (parameters of the bimodal distribution were determined by the maximum likelihood method). It is shown that both methods give close results for the base and weld-seam metal, the magnitude of the shift towards positive values in the average T0 values determined with allowance for the inhomogeneity being about 22°C. Using the obtained T0 estimates, the lower envelopes of the temperature curves of the fracture toughness are constructed (master curves for 5 % failure probability).
About the Authors
A. G. KazantsevRussian Federation
Alexander G. Kazantsev
115088, Moscow, Sharikopodshipnikovskaya uL, 4
V. N. Skorobogatykh
Russian Federation
Vladimir N. Skorobogatykh
115088, Moscow, Sharikopodshipnikovskaya uL, 4
E. V. Pogorelov
Russian Federation
Egor V Pogorelov
115088, Moscow, Sharikopodshipnikovskaya uL, 4
V. A. Piminov
Russian Federation
Vladimir A. Piminov
142103, Moscow obl, Podolsk, Ordzhonikidze ul, 21
S. Y. Korolev
Russian Federation
Sergey Yu. Korolev
142103, Moscow obl, Podolsk, Ordzhonikidze ul, 21
References
1. Pisarski Н. G., Wallin К. The SINTAP fracture estimation procedure / Eng. Fract. Mech. 2000. Vol. 67. E 613 - 624.
2. Wallin K., Laukkanen P., Planman T. Master Curve analysis of inhomogeneous ferritic steels / Eng. Fract. Mech. 2004. Vol. 71. E 2329 - 2346.
3. Wallin K. Inhomogeneity screening criterion for the ASTM E1921 T<sub>0</sub> estimate based on SINTAP lower-tail methodology / J. Test. Eval. 2012. Vol. 40. E 867 - 874.
4. Viehrig PI. W, Scibetta M., Wallin K. Application of advanced master curve approaches on WWER-440 reactor pressure vessel steels / Int. J. Pressure Vess. Piping. 2006. Vol. 83. E 584 - 592.
5. Zhu X. K., Joyce J. A. Review of fracture toughness (G, K, J, CTOD, CTOA) testing and standardization / Eng. Fract. Mech. 2012. Vol. 85. E 1 - 45. DOI:10.1016/j.engfracmech.2012.02.001
6. Gao X., Dodds R. PI. Constraint effects on the ductile-to-brittle transition temperature of ferritic steels: a Weibull stress model / Int. J. Fract. 2000. Vol. 102. E 43 - 69.
7. Aniskovich E. V, Lepihin A. M., Moskvichev V V. Evaluation of the static cracking resistance of thin-walled pressure vessels / Zavod. Lab. Diagn. Mater. 2018. Vol. 84. N 9. E 55 - 63 [in Russian]. DOI:10.26896/1028-6861-2018-84-9-55-63
8. Orlov A. I. Errors in the use of correlation and determination coefficients / Zavod. Lab. Diagn. Mater. 2018. Vol. 84. N 3. E 68 - 72 [in Russian]. DOI:10.26896/1028-6861-2018-84-3-68-72
9. Wasiluk В., Petti J., Dodds R. H. Temperature dependence of Weibull stress parameters: studies using the Euro-material / Eng. Fract. Mech. 2006. Vol. 73. E 1046 - 1069.
10. Joyce J. A., Tregoning R. Evaluation of a method to characterize material inhomogeneity in ferritic steels within the ductile-to-brittle transition regime / Eng. Fract. Mech. 2011. Vol. 78. E 2870 - 2884.
11. Ipifia J. P., Berejnoy C. Analysis of specimen size conversion in ductile to brittle region of ferritic steels / Draft. 21<sup>st</sup> European Conference on Fracture, ECF21, Catania, Italy. 2016. E 769 - 776.
12. Seal С. K., Sherry A. N. Weibull distribution of brittle failure in the transition region / Draft. 21<sup>st</sup> European Conference on Fracture, ECF21, Catania, Italy. 2016. E 1668 - 1675.
13. Kazantsev A. G., Silaev A. A., Korolev S. Yu. On the relationship between the critical temperature of brittleness and the reference temperature determined according to the ASTM E1921 standard / Tyazh. Mashinostr. 2021. N 11 - 12. E 2 - 8 [in Russian].
14. Kazantsev A. G., Markochev V M., Sugirbekov B. A. Statistical Simulation in Determination of the Critical Temperature of Metal Brittleness of the WER-1000 Reactor Shell from Data of Bending Impact Test / Zavod Lab. Diagn. Mater. 2017. Vol. 83. N. 3. E 47 - 54 [in Russian].
15. Shevandin E. I., Rozov I. A. Cold fracture and ultimate plasticity of metals in shipbuilding. — Leningrad: Sudostroenie, 1965. — 365 p. [in Russian].
Review
For citations:
Kazantsev A.G., Skorobogatykh V.N., Pogorelov E.V., Piminov V.A., Korolev S.Y. Determination of the temperature dependence of the fracture toughness of the metal of a thick-walled shell taking into account the inhomogeneity of the material. Industrial laboratory. Diagnostics of materials. 2023;89(3):46-56. (In Russ.) https://doi.org/10.26896/1028-6861-2023-89-3-46-56