Dimensionality reducibility for multiphysics reduced order modeling
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 nonintrusive methodology to render reduction for multiphysics models by taking advantage of the combined reduction introduced by each subphysics in the simulation. Next, a surrogate model is constructed in terms of the reduced dimensions. A key component of the proposed methodology is to upperbound 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 radiationthermal 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 subphysics models.
 Authors:

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 Purdue Univ., West Lafayette, IN (United States)
 Idaho National Lab. (INL), Idaho Falls, ID (United States)
 Publication Date:
 Report Number(s):
 INL/JOU1639980
Journal ID: ISSN 03064549; PII: S0306454917301780
 Grant/Contract Number:
 AC0705ID14517
 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 03064549
 Publisher:
 Elsevier
 Research Org:
 Idaho National Lab. (INL), Idaho Falls, ID (United States)
 Sponsoring Org:
 USDOE Office of Nuclear Energy (NE)
 Country of Publication:
 United States
 Language:
 English
 Subject:
 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; Reduced order modeling; Surrogated model; Multiphysics
 OSTI Identifier:
 1400266
Huang, Dongli, AbdelKhalik, Hany, Rabiti, Cristian, and Gleicher, Frederick. Dimensionality reducibility for multiphysics reduced order modeling. United States: N. p.,
Web. doi:10.1016/j.anucene.2017.06.045.
Huang, Dongli, AbdelKhalik, Hany, Rabiti, Cristian, & Gleicher, Frederick. Dimensionality reducibility for multiphysics reduced order modeling. United States. doi:10.1016/j.anucene.2017.06.045.
Huang, Dongli, AbdelKhalik, Hany, Rabiti, Cristian, and Gleicher, Frederick. 2017.
"Dimensionality reducibility for multiphysics reduced order modeling". United States.
doi:10.1016/j.anucene.2017.06.045. https://www.osti.gov/servlets/purl/1400266.
@article{osti_1400266,
title = {Dimensionality reducibility for multiphysics reduced order modeling},
author = {Huang, Dongli and AbdelKhalik, 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 nonintrusive methodology to render reduction for multiphysics models by taking advantage of the combined reduction introduced by each subphysics in the simulation. Next, a surrogate model is constructed in terms of the reduced dimensions. A key component of the proposed methodology is to upperbound 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 radiationthermal 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 subphysics models.},
doi = {10.1016/j.anucene.2017.06.045},
journal = {Annals of Nuclear Energy (Oxford)},
number = C,
volume = 110,
place = {United States},
year = {2017},
month = {7}
}