Acceleration techniques for reduced-order models based on proper orthogonal decomposition Academic Article uri icon

abstract

  • This paper presents several acceleration techniques for reduced-order models based on the proper orthogonal decomposition (POD) method. The techniques proposed herein are: (i) an algorithm for splitting the database of snapshots generated by the full-order model; (ii) a method for solving quasi-symmetrical matrices; (iii) a strategy for reducing the frequency of the projection. The acceleration techniques were applied to a POD-based reduced-order model of the two-phase flows in fluidized beds. This reduced-order model was developed using numerical results from a full-order computational fluid dynamics model of a two-dimensional fluidized bed. Using these acceleration techniques the computational time of the POD model was two orders of magnitude shorter than the full-order model. 2008 Elsevier Inc.

published proceedings

  • Journal of Computational Physics

altmetric score

  • 3

author list (cited authors)

  • Cizmas, P., Richardson, B. R., Brenner, T. A., OBrien, T. J., & Breault, R. W.

citation count

  • 27

complete list of authors

  • Cizmas, Paul GA||Richardson, Brian R||Brenner, Thomas A||O’Brien, Thomas J||Breault, Ronald W

publication date

  • January 1, 2008 11:11 AM