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

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.

authors

• Cizmas, Paul

published proceedings

• Journal of Computational Physics

author list (cited authors)

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

complete list of authors

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

publisher

• Elsevier  Publisher

published in

• Journal of Computational Physics  Journal

keywords

• 40 Engineering
• 4007 Control Engineering, Mechatronics And Robotics

Digital Object Identifier (DOI)

• 10.1016/j.jcp.2008.04.036

start page

• 7791

end page

• 7812

volume

• 227

issue

• 16