Comprehensive framework for data-driven model form discovery of the closure laws in thermal-hydraulics codes
Abstract
The two-phase two-fluid model is a basis of many thermal-hydraulics codes used in design, licensing, and safety considerations of nuclear power plants. Thermal-hydraulics codes rely on the closure laws to close the system of conservation equations and describe the interactions between phases. These laws, derived from years of experimental investigations, are semi-empirical correlations that lack generality and have a limited range of applicability. Increase of computational power, availability of new experiments, and development of high-fidelity simulations has increased the number of validation data. The discrepancies between the code predictions and the validation data are a great source of knowledge. Missing physics that are not included in the model but are important for the considered phenomena can be discovered by propagating the information from the experimental results through the model. Furthermore, physics-discovered data-driven model form (P3DM) methodology integrates available integral effect tests and separate effects tests to determine the necessary corrections to the model form of the closure laws. In contrast to existing calibration techniques, the methodology modifies the functional form of the closure laws. Based on the functional form of the correction, the missing physics that were not included in the original model can be discovered. The methodology provides themore »
- Authors:
-
[1];
[2];
- Univ. of Illinois at Urbana-Champaign, IL (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1782052
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- International Journal of Heat and Mass Transfer
- Additional Journal Information:
- Journal Volume: 170; Journal Issue: -; Journal ID: ISSN 0017-9310
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; Closure laws; two-phase flow; P3DM; CTF; model form
Citation Formats
Borowiec, K., Wysocki, A. J., and Kozlowski, T. Comprehensive framework for data-driven model form discovery of the closure laws in thermal-hydraulics codes. United States: N. p., 2021.
Web. doi:10.1016/j.ijheatmasstransfer.2021.120976.
Borowiec, K., Wysocki, A. J., & Kozlowski, T. Comprehensive framework for data-driven model form discovery of the closure laws in thermal-hydraulics codes. United States. https://doi.org/10.1016/j.ijheatmasstransfer.2021.120976
Borowiec, K., Wysocki, A. J., and Kozlowski, T. Wed .
"Comprehensive framework for data-driven model form discovery of the closure laws in thermal-hydraulics codes". United States. https://doi.org/10.1016/j.ijheatmasstransfer.2021.120976. https://www.osti.gov/servlets/purl/1782052.
@article{osti_1782052,
title = {Comprehensive framework for data-driven model form discovery of the closure laws in thermal-hydraulics codes},
author = {Borowiec, K. and Wysocki, A. J. and Kozlowski, T.},
abstractNote = {The two-phase two-fluid model is a basis of many thermal-hydraulics codes used in design, licensing, and safety considerations of nuclear power plants. Thermal-hydraulics codes rely on the closure laws to close the system of conservation equations and describe the interactions between phases. These laws, derived from years of experimental investigations, are semi-empirical correlations that lack generality and have a limited range of applicability. Increase of computational power, availability of new experiments, and development of high-fidelity simulations has increased the number of validation data. The discrepancies between the code predictions and the validation data are a great source of knowledge. Missing physics that are not included in the model but are important for the considered phenomena can be discovered by propagating the information from the experimental results through the model. Furthermore, physics-discovered data-driven model form (P3DM) methodology integrates available integral effect tests and separate effects tests to determine the necessary corrections to the model form of the closure laws. In contrast to existing calibration techniques, the methodology modifies the functional form of the closure laws. Based on the functional form of the correction, the missing physics that were not included in the original model can be discovered. The methodology provides the alternative to the machine learning approach, in which the model is discovered in the form of the intractable black-box relation. In this work, the methodology was applied to the CTF subchannel code to improve the prediction of the two-phase flow phenomena.},
doi = {10.1016/j.ijheatmasstransfer.2021.120976},
journal = {International Journal of Heat and Mass Transfer},
number = -,
volume = 170,
place = {United States},
year = {Wed Feb 03 00:00:00 EST 2021},
month = {Wed Feb 03 00:00:00 EST 2021}
}
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