High-to-Low Activities across VVI, AMA and PHI

Technical Report · Sat Sep 30 04:00:00 EDT 2017

DOI:https://doi.org/10.2172/3002103· OSTI ID:3002103

Smith, Ralph C. ^[1]; Williams, Brian ^[2]; Avramova, Maria ^[1]; Blyth, Taylor ^[1]; Clarno, Kevin ^[3]; Gilkey, Lindsay ^[4]; Gordon, Natalie ^[4]; Hetzler, Adam ^[4]; Hooper, Russell ^[4]; Jones, Christopher ^[4]; Kropaczek, David J. ^[1]; Mousseau, Vincent A. ^[4]; Salko, Robert ^[3]; Sung, Yixing ^[5]; Tatli, Emre ^[5]; Toptan, Aysenur ^[1]

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1. North Carolina State University, Raleigh, NC (United States)
2. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
3. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
4. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
5. Westinghouse Electric Corp., Pittsburgh, PA (United States)

This milestone report documents work performed in CASL that was broadly focused on the use of validated high-fidelity simulation codes to inform, improve and calibrate low-fidelity codes to facilitate multiphysics coupling, design, performance analysis, and risk assessment. This high-to-low (Hi2Lo) initiative has the following objectives: employ physics encapsulated in high-fidelity codes to improve the functionality of low-fidelity codes, quantify biases in low-fidelity codes, develop and calibrate physical models and closure relations so that low-fidelity codes more accurately incorporate requisite physics, and develop low-fidelity codes that can be effectively coupled to simulate multiphysics behavior. In combination, these efforts are designed to impact both CIPS and DNB. For example, the development and experimental design-based Bayesian calibration of dynamic gas conductance models in CTFFuel will provide the capability to better model crud-induced power shifts. Whereas the present emphasis has focused on the high-fidelity codes STAR-CCM+ and BISON and low-fidelity codes CTF and CTFFuel, future emphasis will be expanded to include MAMBA. During the reporting period, Hi2Lo efforts focused on two broad components: demonstration of the experimental design-based Bayesian calibration framework to calibrate CTF using both STAR-generated synthetic data and experimental data, and the use of STAR to inform and improve the turbulence modeling and grid heat transfer modeling capabilities in CTF. A complementary milestone focused on the implementation and verification of fuel models in CTFFuel, for which we demonstrated initial calibration results. Future Hi2Lo work will focus on the use of the experimental design-based Bayesian calibration framework, demonstrated this year for STAR and CTF, to calibrate parameters in the fuel swelling, fuel irradiation-induced densification, and fuel relocation models in CTFFuel using both experimental and BISON-generated data. A second component will focus on the continued use of STAR to improve grid modeling capabilities in CTF.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Nuclear Energy (NE)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 3002103
• Report Number(s): CASL-U--2017-1447-000
• Country of Publication: United States
• Language: English

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