skip to main content

DOE PAGESDOE PAGES

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

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:
 [1] ;  [2] ;  [3]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. The Pennsylvania State Univ., University Park, PA (United States)
Publication Date:
Report Number(s):
SAND2016-11149J
Journal ID: ISSN 0306-4549; 648855
Grant/Contract Number:
AC04-94AL85000; AC05-00OR22725
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
Research Org:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA)
Country of Publication:
United States
Language:
English
Subject:
21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; 97 MATHEMATICS AND COMPUTING
OSTI Identifier:
1332948
Alternate Identifier(s):
OSTI ID: 1247863

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., 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. doi:10.1016/j.anucene.2014.11.005.
Salko, Robert K., Schmidt, Rodney C., and Avramova, Maria N.. 2014. "Optimization and parallelization of the thermal–hydraulic subchannel code CTF for high-fidelity multi-physics applications". United States. doi: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 = {2014},
month = {11}
}