A computer vision approach for dynamic tracking of components in a nuclear reactor core model
| Autor: | Olafur Oddbjornsson, Luiza Dihoru, Elia Voyagaki, Colin Anthony Taylor, Adam J Crewe, Matt S Dietz, Tony Horseman, Panos Kloukinas |
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| Rok vydání: | 2019 |
| Předmět: |
Seismic testing
Nuclear and High Energy Physics Computer science 020209 energy High resolution video 02 engineering and technology 01 natural sciences 010305 fluids & plasmas Advanced Gas Cooled Reactor Component (UML) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering General Materials Science Computer vision Safety Risk Reliability and Quality Waste Management and Disposal Infrared vision business.industry Mechanical Engineering Keying Displacement mapping Nuclear Energy and Engineering Nuclear reactor core Dynamic loading Earthquake shaking table Dynamic tracking Artificial intelligence business Communication channel |
| Zdroj: | Dihoru, L, Crewe, A J, Horseman, T, Dietz, M, Oddbjornsson, O, Kloukinas, P, Voyagaki, E & Taylor, C A 2019, ' A Computer Vision Approach for Dynamic Tracking of Components in a Nuclear Reactor Core Model ', Nuclear Engineering and Design, vol. 344, pp. 1-14 . https://doi.org/10.1016/j.nucengdes.2019.01.017 |
| ISSN: | 0029-5493 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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