Nuclear Structural Integrity & Data Automation: A Roadmap

The Jean Golding Institute fosters high quality data-intensive research. We facilitate and strengthen interdisciplinary work, provide data-science expertise, and build a cohesive data science community in an increasingly data-rich world.

Jean Golding Institute

Nuclear Structural Integrity &amp; Data Automation: A Roadmap  from the South West Nuclear Hub as part of Data Week Online 2021

Hosted by <a href="https://southwestnuclearhub.ac.uk/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">The South West Nuclear Hub</a>, <a href="https://www.turing.ac.uk/research/interest-groups/data-science-engineering-structural-integrity" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">The Alan Turing Institute special interest group in engineering structural integrity</a> and the EDF <a href="https://www.sindri-partnership.ac.uk/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">SINDRI </a>Prosperity Partnership project. A session highlighting key areas driving data automation in nuclear structural integrity. The presentation will set the scene by presenting a high-level description of the roadmap by industry leads. Safe operation of safety critical plants, such as nuclear, is underpinned by structural integrity assessments of their key components. A structural integrity assessment examines the mechanical state of a structure to determine if it is fit for purpose and safe to operate. At the heart of the process are the material performance models, which use knowledge of loading and operating conditions of components as well as their histories as input . The material performance models are built on micro/meso scale material characterisation and modelling, supported by a vast legacy of scientific literature and industrial experience. Further, Non-Destructive Evaluation (NDE) measurements are performed in-service to confirm that the evolution of the material is consistent with model predictions. If discrepancies are found, the assessment models can be updated. The vast in-service data therefore provides the feedback loop that maintains alignment between the physical and digital domains. The complexity of the underpinning models, the acquisition of high-fidelity digital NDE data, and the need for fast processing of the data and updating the models are key drivers for complete automation of the data analysis workflow. <a href="http://www.bristol.ac.uk/golding/get-involved/data-week-online-2021/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Data Week Online 2021</a>This event is part of Data Week Online 2021, organised by the Jean Golding Institute. Running from Monday 14 June - Friday 18 June 2021, this will be our 4th annual week long series of workshops, talks and events in the world of data science and data-intensive research. <a href="http://www.bristol.ac.uk/golding/join-our-mailing-list/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Join our mailing list</a>To keep up to date with events like this, as well as funding, news, blogs and more, please join our mailing list.Find out more about the Jean Golding Institute by watching our short video below!

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Nuclear Structural Integrity & Data Automation: A Roadmap

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