An acceleration approach for reduced-order models based on proper orthogonal decomposition
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This paper presents the development of an acceleration method for reduced-order models (ROM) based on the proper orthogonal decomposition method. The acceleration method took advantage of the nearly symmetrical structure of the matrices of the linear systems that generate the time coefficients of the reduced-order model. The technique was applied to a reduced-order model of the two-phase flows in fluidized beds. Results were presented for a ROM developed using numerical results from a computational fluid dynamics simulation of a two-dimensional bubbling fluidized bed. The computational speed-up depended on the number of modes used in the reconstruction.
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