Constrained reduced-order models based on proper orthogonal decomposition
Journal Article
·
· Computer Methods in Applied Mechanics and Engineering
- Florida Intl Univ., Miami, FL (United States)
- Texas A & M Univ., College Station, TX (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Texas A & M Univ., College Station, TX (United States)
A novel approach is presented to constrain reduced-order models (ROM) based on proper orthogonal decomposition (POD). The ^ 7 Karush–Kuhn–Tucker (KKT) conditions were applied to the traditional reduced-order model to constrain the solution to user8 defined bounds. The constrained reduced-order model (C-ROM) was applied and validated against the analytical solution to the 9 first-order wave equation. C-ROM was also applied to the analysis of fluidized beds. It was shown that the ROM and C-ROM 10 produced accurate results and that C-ROM was less sensitive to error propagation through time than the ROM.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Florida International Univ. (FIU), Miami, FL (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA); USDOE Office of Fossil Energy (FE)
- Grant/Contract Number:
- AC04-94AL85000; FE0023114; FIU/ARC
- OSTI ID:
- 1369450
- Alternate ID(s):
- OSTI ID: 1397433; OSTI ID: 1410456
- Report Number(s):
- SAND-2017-3244J; 652058
- Journal Information:
- Computer Methods in Applied Mechanics and Engineering, Vol. 321, Issue C; ISSN 0045-7825
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Cited by: 8 works
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