TY - JOUR
T1 - High-resolution coupled physics solvers for analysing fine-scale nuclear reactor design problems
AU - Mahadevan, Vijay S.
AU - Merzari, Elia
AU - Tautges, Timothy
AU - Jain, Rajeev
AU - Obabko, Aleksandr
AU - Smith, Michael
AU - Fischer, Paul
PY - 2014/8/6
Y1 - 2014/8/6
N2 - An integrated multi-physics simulation capability for the design and analysis of current and future nuclear reactor models is being investigated, to tightly couple neutron transport and thermalhydraulics physics under the SHARP framework. Over several years, high-fidelity, validated monophysics solvers with proven scalability on petascale architectures have been developed independently. Based on a unified component-based architecture, these existing codes can be coupled with a mesh-data backplane and a flexible coupling-strategy-based driver suite to produce a viable tool for analysts. The goal of the SHARP framework is to perform fully resolved coupled physics analysis of a reactor on heterogeneous geometry, in order to reduce the overall numerical uncertainty while leveraging available computational resources. The coupling methodology and software interfaces of the framework are presented, along with verification studies on two representative fast sodium-cooled reactor demonstration problems to prove the usability of the SHARP framework.
AB - An integrated multi-physics simulation capability for the design and analysis of current and future nuclear reactor models is being investigated, to tightly couple neutron transport and thermalhydraulics physics under the SHARP framework. Over several years, high-fidelity, validated monophysics solvers with proven scalability on petascale architectures have been developed independently. Based on a unified component-based architecture, these existing codes can be coupled with a mesh-data backplane and a flexible coupling-strategy-based driver suite to produce a viable tool for analysts. The goal of the SHARP framework is to perform fully resolved coupled physics analysis of a reactor on heterogeneous geometry, in order to reduce the overall numerical uncertainty while leveraging available computational resources. The coupling methodology and software interfaces of the framework are presented, along with verification studies on two representative fast sodium-cooled reactor demonstration problems to prove the usability of the SHARP framework.
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U2 - 10.1098/rsta.2013.0381
DO - 10.1098/rsta.2013.0381
M3 - Article
AN - SCOPUS:84903974168
SN - 1364-503X
VL - 372
JO - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
JF - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
IS - 2021
M1 - 20130381
ER -