Acceleration techniques for reduced-order models based on proper orthogonal decomposition

✍ Scribed by Paul G.A. Cizmas; Brian R. Richardson; Thomas A. Brenner; Thomas J. O’Brien; Ronald W. Breault

• Book ID: 104021826
• Publisher: Elsevier Science
• Year: 2008
• Tongue: English
• Weight: 640 KB
• Volume: 227
• Category: Article
• ISSN: 0021-9991
• DOI: 10.1016/j.jcp.2008.04.036

✦ Synopsis

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 twophase 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.