Dimensionality reducibility for multi-physics reduced order modeling
Abstract
Applications of reduced order modeling (ROM) to support analysis of complex reactor behavior using high fidelity simulations have developed rapidly in recent years. Reduction implies any computational approach aiming to reduce the cost of the simulation, especially for situations involving repeated executions such as probabilistic risk assessment and uncertainty quantification applications. This article presents a novel non-intrusive methodology to render reduction for multi-physics models by taking advantage of the combined reduction introduced by each sub-physics in the simulation. Next, a surrogate model is constructed in terms of the reduced dimensions. A key component of the proposed methodology is to upper-bound the errors resulting from the reduction to ensure its reliability for subsequent engineering applications. To implement and demonstrate the proposed ROM algorithm, the INL’s MAMMOTH environment is employed to analyze the level of reduction in the coupled radiation-thermal transport modeling of a 2D quarter fuel pin in a light water reactor spectrum. MAMMOTH couples the neutronics model of Rattlesnake module and the fuel performance model of BISON module. Here, the results show that the reduction obtained with coupled physics is more significant than that with individual sub-physics models.
- Authors:
-
[1];
- Purdue Univ., West Lafayette, IN (United States)
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Publication Date:
- Research Org.:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- USDOE Office of Nuclear Energy (NE)
- OSTI Identifier:
- 1400266
- Report Number(s):
- INL/JOU-16-39980
Journal ID: ISSN 0306-4549; PII: S0306454917301780
- Grant/Contract Number:
- AC07-05ID14517
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Annals of Nuclear Energy (Oxford)
- Additional Journal Information:
- Journal Name: Annals of Nuclear Energy (Oxford); Journal Volume: 110; Journal Issue: C; Journal ID: ISSN 0306-4549
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; Reduced order modeling; Surrogated model; Multi-physics
Citation Formats
Huang, Dongli, Abdel-Khalik, Hany, Rabiti, Cristian, and Gleicher, Frederick. Dimensionality reducibility for multi-physics reduced order modeling. United States: N. p., 2017.
Web. doi:10.1016/j.anucene.2017.06.045.
Huang, Dongli, Abdel-Khalik, Hany, Rabiti, Cristian, & Gleicher, Frederick. Dimensionality reducibility for multi-physics reduced order modeling. United States. https://doi.org/10.1016/j.anucene.2017.06.045
Huang, Dongli, Abdel-Khalik, Hany, Rabiti, Cristian, and Gleicher, Frederick. Wed .
"Dimensionality reducibility for multi-physics reduced order modeling". United States. https://doi.org/10.1016/j.anucene.2017.06.045. https://www.osti.gov/servlets/purl/1400266.
@article{osti_1400266,
title = {Dimensionality reducibility for multi-physics reduced order modeling},
author = {Huang, Dongli and Abdel-Khalik, Hany and Rabiti, Cristian and Gleicher, Frederick},
abstractNote = {Applications of reduced order modeling (ROM) to support analysis of complex reactor behavior using high fidelity simulations have developed rapidly in recent years. Reduction implies any computational approach aiming to reduce the cost of the simulation, especially for situations involving repeated executions such as probabilistic risk assessment and uncertainty quantification applications. This article presents a novel non-intrusive methodology to render reduction for multi-physics models by taking advantage of the combined reduction introduced by each sub-physics in the simulation. Next, a surrogate model is constructed in terms of the reduced dimensions. A key component of the proposed methodology is to upper-bound the errors resulting from the reduction to ensure its reliability for subsequent engineering applications. To implement and demonstrate the proposed ROM algorithm, the INL’s MAMMOTH environment is employed to analyze the level of reduction in the coupled radiation-thermal transport modeling of a 2D quarter fuel pin in a light water reactor spectrum. MAMMOTH couples the neutronics model of Rattlesnake module and the fuel performance model of BISON module. Here, the results show that the reduction obtained with coupled physics is more significant than that with individual sub-physics models.},
doi = {10.1016/j.anucene.2017.06.045},
journal = {Annals of Nuclear Energy (Oxford)},
number = C,
volume = 110,
place = {United States},
year = {Wed Jul 19 00:00:00 EDT 2017},
month = {Wed Jul 19 00:00:00 EDT 2017}
}
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