Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4963757 | Computer Methods in Applied Mechanics and Engineering | 2017 | 44 Pages |
Abstract
A novel approach is presented to constrain reduced-order models (ROM) based on proper orthogonal decomposition (POD). The Karush-Kuhn-Tucker (KKT) conditions were applied to the traditional reduced-order model to constrain the solution to user-defined bounds. The constrained reduced-order model (C-ROM) was applied and validated against the analytical solution to the first-order wave equation. C-ROM was also applied to the analysis of fluidized beds. It was shown that the ROM and C-ROM produced accurate results and that C-ROM was less sensitive to error propagation through time than the ROM.
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Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Sohail R. Reddy, Brian A. Freno, Paul G.A. Cizmas, Seckin Gokaltun, Dwayne McDaniel, George S. Dulikravich,