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A Computer Vision Approach for Dynamic Tracking of Components in a Nuclear Reactor Core Model

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalNuclear Engineering and Design
Volume344
Early online date25 Jan 2019
DOIs
DateAccepted/In press - 15 Jan 2019
DateE-pub ahead of print - 25 Jan 2019
DatePublished (current) - 1 Apr 2019

Abstract

The Advanced Gas Cooled Reactors (AGRs) are a vital component of the UK's electricity supply system. Their continued reliable operation is supported by safety cases that include assessments of their seismic resilience to their ultimate lifetimes. These assessments are developed via a complex programme of numerical simulations, physical modelling and shaking table testing. A quarter sized physical model representing a single layer of an AGR graphite core was developed at the University of Bristol (UOB) to test the dynamic response for various core array configurations and seismic excitations. The dynamic displacement response is significant, as displaced components may cause local or general distortions that could theoretically affect the channel shapes and the keying system of an AGR core, with implications on the fundamental functions of the reactor. This paper presents a computer vision approach for component displacement mapping. An infrared vision system and a high-resolution video system were employed to track all the components in the model core during a seismic event. The systems have proven to be fit for purpose, being able to map the position of the array components at a resolution of 0.1 mm and to reveal features of response that are useful for understanding the core dynamics. The employed hardware and tracking algorithms are general in nature, hence they are transferrable to other case studies involving multi-body assemblies under dynamic loading.

    Research areas

  • Advanced Gas Cooled Reactor, Dynamic tracking, High resolution video, Seismic testing

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Documents

  • Full-text PDF (author accepted manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Elsevier at https://www.sciencedirect.com/science/article/pii/S0029549319300093 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 3 MB, PDF document

    Embargo ends: 25/01/20

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    Licence: CC BY-NC-ND

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