PHYSICAL MODELLING AND TESTING OF AN ADVANCED GAS COOLED REACTOR CORE MODEL

Advanced Gas Cooled Reactor (AGR) cores are multi-layered arrays of graphite components whose geometry and mechanical properties change under prolonged exposure to neutron irradiation. The presence of cracked components in the arrays later in their operational life may cause disruption of core geometry with implications for fuel cooling and control rod insertion in the event of a severe, but infrequent, seismic event. These ageing issues need addressing in both the computational and the physical models employed in the seismic resilience assessments. This paper presents a physical model with quarter-sized components of an array representative of those in AGR cores. The model was developed by the University of Bristol to provide experimental validation to computational tools which model high levels of core degradation. This paper outlines the principles of model design and the relevant aspects of rig development. The rig is tested on an earthquake simulator with the purpose to explore the mechanical interactions inside the array and to output acceleration and displacement data at selected locations. Relevant experimental outputs are presented showing dynamic responses of the array columns and top layer response maps. Overall, the model rig is capable of providing experimental evidence for the computational modelling methods, and so makes significant contributions to reducing uncertainties in these methods.

Authors

Institutions

Publication Details

Journal
Bristol Research (University of Bristol)
Published
2025-12-18
DOI
https://doi.org/10.71846/16-wcee-1345
Citations
1
Primary Topic
Nuclear reactor physics and engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PHYSICAL MODELLING AND TESTING OF AN ADVANCED GAS COOLED REACTOR CORE MODEL

Matt Dietz, Colin Anthony Taylor, Luiza Dihoru, Elia Voyagaki et al.
1 citations
Bristol Research (University of Bristol)
Nuclear reactor physics and engineering
article

PHYSICAL MODELLING AND TESTING OF AN ADVANCED GAS COOLED REACTOR CORE MODEL

Matt Dietz, Colin Anthony Taylor, Luiza Dihoru, Elia Voyagaki, Adam J Crewe, Alan Steer, Panos Kloukinas, Olafur Oddbjornsson, Tony Horseman
article en
1 citations

Abstract

Advanced Gas Cooled Reactor (AGR) cores are multi-layered arrays of graphite components whose geometry and mechanical properties change under prolonged exposure to neutron irradiation. The presence of cracked components in the arrays later in their operational life may cause disruption of core geometry with implications for fuel cooling and control rod insertion in the event of a severe, but infrequent, seismic event. These ageing issues need addressing in both the computational and the physical models employed in the seismic resilience assessments. This paper presents a physical model with quarter-sized components of an array representative of those in AGR cores. The model was developed by the University of Bristol to provide experimental validation to computational tools which model high levels of core degradation. This paper outlines the principles of model design and the relevant aspects of rig development. The rig is tested on an earthquake simulator with the purpose to explore the mechanical interactions inside the array and to output acceleration and displacement data at selected locations. Relevant experimental outputs are presented showing dynamic responses of the array columns and top layer response maps. Overall, the model rig is capable of providing experimental evidence for the computational modelling methods, and so makes significant contributions to reducing uncertainties in these methods.

Bristol Research (University of Bristol)
EDF Energy (United Kingdom) (GB), Cabot (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 100%
Nuclear reactor physics and engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.