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

Jose Arregui-Mena, Philip D. Edmondson, Lee Margetts, D.V. Griffiths, William E. Windes, Mark Carroll, Paul Mummery

    Research output: Contribution to journalArticlepeer-review

    247 Downloads (Pure)

    Abstract

    Graphite is a candidate material for Generation IV concepts and is used as a moderator in Advanced Gas-cooled Reactors (AGR) in the UK. Spatial material variability is present within billets causing different material property values between different components. Variations in material properties and irradiation effects can produce stress concentrations and diverse mechanical responses in a nuclear reactor graphite core. In order to characterise the material variability, geostatistical techniques called variography and random field theory were adapted for studying the density and Young’s modulus of a billet of Gilsocarbon and NBG-18 graphite grades. Variography is a technique for estimating the distance over which material property values have significant spatial correlation, known as the scale of fluctuation or spatial correlation length. The paper uses random field theory to create models that mimic the original spatial and statistical distributions of the original data set. This study found different values of correlation length for density and Young’s modulus around the edges of a Gilsocarbon billet, while in the case of NBG-18, similar correlation lengths where found across the billet. Examples of several random fields are given to reproduce the spatial patterns and values found in the original data.
    Original languageEnglish
    JournalJournal of Nuclear Materials
    Early online date8 Sept 2018
    DOIs
    Publication statusPublished - 2018

    Keywords

    • gilsocarbon
    • graphite
    • nuclear
    • spatial correlation
    • stochastic
    • characterisation

    Research Beacons, Institutes and Platforms

    • Advanced materials
    • Manchester Energy

    Fingerprint

    Dive into the research topics of 'Characterisation of the spatial variability of material properties of Gilsocarbon and NBG-18 using random fields'. Together they form a unique fingerprint.

    Cite this