On estimating the fracture probability of nuclear graphite components

Srinivasan, Makuteswara

doi:10.1016/j.jnucmat.2008.07.029

Cited by 11 publications

(2 citation statements)

References 14 publications

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“…The structural integrity studies of graphite components are usually supported by stress analysis and other calculations that estimate the failure rate and lifetime of the components. In addition to stress analysis, several fracture mechanics techniques have been implemented to analyse the crack evolution in nuclear graphite components [5][6][7][8][9]. Traditionally FEM and continuum damage techniques use the mean values of material properties to perform their analyses.…”

Section: Part Of the Routine Assessments And Predictions Of The Lifetmentioning

confidence: 99%

Characterisation of the spatial variability of material properties of Gilsocarbon and NBG-18 using random fields

Arregui-Mena

Edmondson

Margetts

et al. 2018

Journal of Nuclear Materials

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☆ This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). Characterisation of the spatial variability of material properties of Gilsocarbon and NBG-18 using random fields ☆

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Section: Part Of the Routine Assessments And Predictions Of The Lifetmentioning

confidence: 99%

Characterisation of the spatial variability of material properties of Gilsocarbon and NBG-18 using random fields

Arregui-Mena

Edmondson

Margetts

et al. 2018

Journal of Nuclear Materials

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“…5,6 Various limitations related to the reliability in fracture probability evaluation for nuclear graphite components have been documented. 7 Many deterministic models [8][9][10] have been proposed based on statistical and experimental observations. Burchell's 10 fracture model shows an excellent compatibility in the strength prediction for different grades of graphite.…”

Section: Introductionmentioning

confidence: 99%

A numerical prediction of flexural strength probability for NBG-18 nuclear grade graphite using strength pair model

Bansal

Mishra

Sharma³

et al. 2017

The Journal of Strain Analysis for Engineering Design

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In this work, a strength pair model has been proposed for the numerical prediction of flexural strength probability of NBG-18 nuclear grade graphite. The input to the proposed model is a random strength pair of tensile and compressive strengths whose value is based on its probability of occurrence in the experimental data. A finite element-based deterministic numerical approach has been implemented. To account for the large difference in tensile and compressive strengths, Drucker-Prager failure criteria has been implemented. The failure envelope of the Drucker-Prager failure criteria is assumed to have uniaxial fit with Mohr-Coulomb model in the principal stress space. A total of 292 simulations with random pairs of tensile and compressive strength are performed on a three-point bend specimen to obtain a set of flexural strength data. The flexural strength data obtained through numerical simulations are fitted using normal and Weibull distributions. The flexural strength probability obtained from the proposed model is found on conservative side. A goodness-of-fit test concludes that Weibull distribution fits the numerical data better than normal distribution.

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An Uncertainty Evaluation on the ΔKth and ΔKIC of Fine-grained Isotropic Graphite

Zhang,

Zhu,

Yan

et al. 2024

Acta Mech. Solida Sin.

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On estimating the fracture probability of nuclear graphite components

Cited by 11 publications

References 14 publications

Characterisation of the spatial variability of material properties of Gilsocarbon and NBG-18 using random fields

Characterisation of the spatial variability of material properties of Gilsocarbon and NBG-18 using random fields

A numerical prediction of flexural strength probability for NBG-18 nuclear grade graphite using strength pair model

An Uncertainty Evaluation on the ΔKth and ΔKIC of Fine-grained Isotropic Graphite

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