Optimization and parallelization of the thermal–hydraulic subchannel code CTF for high-fidelity multi-physics applications
Abstract
This study describes major improvements to the computational infrastructure of the CTF subchannel code so that full-core, pincell-resolved (i.e., one computational subchannel per real bundle flow channel) simulations can now be performed in much shorter run-times, either in stand-alone mode or as part of coupled-code multi-physics calculations. These improvements support the goals of the Department Of Energy Consortium for Advanced Simulation of Light Water Reactors (CASL) Energy Innovation Hub to develop high fidelity multi-physics simulation tools for nuclear energy design and analysis.
- Authors:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- The Pennsylvania State Univ., University Park, PA (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1332948
- Alternate Identifier(s):
- OSTI ID: 1247863
- Report Number(s):
- SAND2016-11149J
Journal ID: ISSN 0306-4549; 648855
- Grant/Contract Number:
- AC04-94AL85000; AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Annals of Nuclear Energy (Oxford)
- Additional Journal Information:
- Journal Name: Annals of Nuclear Energy (Oxford); Journal Volume: 84; Journal Issue: C; Journal ID: ISSN 0306-4549
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; 97 MATHEMATICS AND COMPUTING
Citation Formats
Salko, Robert K., Schmidt, Rodney C., and Avramova, Maria N. Optimization and parallelization of the thermal–hydraulic subchannel code CTF for high-fidelity multi-physics applications. United States: N. p., 2014.
Web. doi:10.1016/j.anucene.2014.11.005.
Salko, Robert K., Schmidt, Rodney C., & Avramova, Maria N. Optimization and parallelization of the thermal–hydraulic subchannel code CTF for high-fidelity multi-physics applications. United States. https://doi.org/10.1016/j.anucene.2014.11.005
Salko, Robert K., Schmidt, Rodney C., and Avramova, Maria N. Sun .
"Optimization and parallelization of the thermal–hydraulic subchannel code CTF for high-fidelity multi-physics applications". United States. https://doi.org/10.1016/j.anucene.2014.11.005. https://www.osti.gov/servlets/purl/1332948.
@article{osti_1332948,
title = {Optimization and parallelization of the thermal–hydraulic subchannel code CTF for high-fidelity multi-physics applications},
author = {Salko, Robert K. and Schmidt, Rodney C. and Avramova, Maria N.},
abstractNote = {This study describes major improvements to the computational infrastructure of the CTF subchannel code so that full-core, pincell-resolved (i.e., one computational subchannel per real bundle flow channel) simulations can now be performed in much shorter run-times, either in stand-alone mode or as part of coupled-code multi-physics calculations. These improvements support the goals of the Department Of Energy Consortium for Advanced Simulation of Light Water Reactors (CASL) Energy Innovation Hub to develop high fidelity multi-physics simulation tools for nuclear energy design and analysis.},
doi = {10.1016/j.anucene.2014.11.005},
journal = {Annals of Nuclear Energy (Oxford)},
number = C,
volume = 84,
place = {United States},
year = {Sun Nov 23 00:00:00 EST 2014},
month = {Sun Nov 23 00:00:00 EST 2014}
}
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Cited by: 19 works
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