Dimensionality reducibility for multi-physics reduced order modeling

Huang, Dongli; Abdel-Khalik, Hany; Rabiti, Cristian; Gleicher, Frederick

doi:10.1016/j.anucene.2017.06.045

Dimensionality reducibility for multi-physics reduced order modeling

Journal Article · Wed Jul 19 00:00:00 EDT 2017 · Annals of Nuclear Energy (Oxford)

DOI:https://doi.org/10.1016/j.anucene.2017.06.045· OSTI ID:1400266

Huang, Dongli ^[1]; ^[1]; Rabiti, Cristian ^[2]; Gleicher, Frederick ^[2]

Purdue Univ., West Lafayette, IN (United States)
Idaho National Lab. (INL), Idaho Falls, ID (United States)

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.

View Accepted Manuscript (DOE)

Research Organization:: Idaho National Lab. (INL), Idaho Falls, ID (United States)

Sponsoring Organization:: USDOE Office of Nuclear Energy (NE)

Grant/Contract Number:: AC07-05ID14517

OSTI ID:: 1400266

Alternate ID(s):: OSTI ID: 22695759

Report Number(s):: INL/JOU--16-39980; PII: S0306454917301780

Journal Information:: Annals of Nuclear Energy (Oxford), Journal Name: Annals of Nuclear Energy (Oxford) Journal Issue: C Vol. 110; ISSN 0306-4549

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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