2023/03/15 by Zachary K. Hardy, Hardy, Zachary K., Jim E. Morel +1 · 3 citations
Engineering · Physics and Astronomy · Veterinary · #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Mathematics #FOS: Physical sciences #Hydraulic and Pneumatic Systems #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Statistics and Probability (physics.data-an) #Veterinary medicine and infectious diseases
paper · pdf · doi:10.48550/arxiv.2303.08872
openalex publication_date 2023/03/15 · openalex created_date 2023/03/19 · openalex updated_date 2026/08/01
In this paper, a non-intrusive reduced-order model (ROM) for parametric reactor kinetics simulations is presented. Time-dependent ROMs are notoriously data intensive and difficult to implement when nonlinear multiphysics phenomena are considered. These challenges are exacerbated when parametric dependencies are included. The proper orthogonal decomposition mode coefficient interpolation (POD-MCI) ROM presented in this work can be constructed directly from lower-dimensional quantities of interest (QoIs) and is independent of the underlying model. This greatly alleviates the data requirement of many existing ROMs and can be used without modification on arbitrarily complex models or experimental data. The POD-MCI ROM is demonstrated on a number of examples and yields accurate characterizations of the QoIs within the selected parameter spaces at extremely attractive computational speed-up factors relative to the full-order models (FOMs).