Optimization and parallelization of the thermal–hydraulic subchannel code CTF for high-fidelity multi-physics applications

Salko, Robert K.; Schmidt, Rodney C.; Avramova, Maria N.

doi:10.1016/j.anucene.2014.11.005

Title: Optimization and parallelization of the thermal–hydraulic subchannel code CTF for high-fidelity multi-physics applications

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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:

Salko, Robert K. ^[1]; Schmidt, Rodney C. ^[2]; Avramova, Maria N. ^[3]

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:: Sun Nov 23 00:00:00 EST 2014

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.

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                    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

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                    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.

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@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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https://doi.org/10.1016/j.anucene.2014.11.005

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