High-resolution coupled physics solvers for analysing fine-scale nuclear reactor design problems
Abstract
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 thermal-hydraulics physics under the SHARP framework. Over several years, high-fidelity, validated mono-physics 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. Finally, 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.
- Authors:
-
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); USDOE Office of Nuclear Energy (NE)
- OSTI Identifier:
- 1395985
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Philosophical Transactions of the Royal Society. A, Mathematical, Physical and Engineering Sciences
- Additional Journal Information:
- Journal Volume: 372; Journal Issue: 2021; Journal ID: ISSN 1364-503X
- Publisher:
- The Royal Society Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 22 GENERAL STUDIES OF NUCLEAR REACTORS; 42 ENGINEERING; code coupling; multi-physics; reactor analysis
Citation Formats
Mahadevan, Vijay S., Merzari, Elia, Tautges, Timothy, Jain, Rajeev, Obabko, Aleksandr, Smith, Michael, and Fischer, Paul. High-resolution coupled physics solvers for analysing fine-scale nuclear reactor design problems. United States: N. p., 2014.
Web. doi:10.1098/rsta.2013.0381.
Mahadevan, Vijay S., Merzari, Elia, Tautges, Timothy, Jain, Rajeev, Obabko, Aleksandr, Smith, Michael, & Fischer, Paul. High-resolution coupled physics solvers for analysing fine-scale nuclear reactor design problems. United States. https://doi.org/10.1098/rsta.2013.0381
Mahadevan, Vijay S., Merzari, Elia, Tautges, Timothy, Jain, Rajeev, Obabko, Aleksandr, Smith, Michael, and Fischer, Paul. Mon .
"High-resolution coupled physics solvers for analysing fine-scale nuclear reactor design problems". United States. https://doi.org/10.1098/rsta.2013.0381. https://www.osti.gov/servlets/purl/1395985.
@article{osti_1395985,
title = {High-resolution coupled physics solvers for analysing fine-scale nuclear reactor design problems},
author = {Mahadevan, Vijay S. and Merzari, Elia and Tautges, Timothy and Jain, Rajeev and Obabko, Aleksandr and Smith, Michael and Fischer, Paul},
abstractNote = {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 thermal-hydraulics physics under the SHARP framework. Over several years, high-fidelity, validated mono-physics 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. Finally, 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.},
doi = {10.1098/rsta.2013.0381},
journal = {Philosophical Transactions of the Royal Society. A, Mathematical, Physical and Engineering Sciences},
number = 2021,
volume = 372,
place = {United States},
year = {Mon Jun 30 00:00:00 EDT 2014},
month = {Mon Jun 30 00:00:00 EDT 2014}
}
Web of Science
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