A Higher Order Artificial Compression Reduced Order Model for Control of Thermally Convective Flows
A second-order in time discretization of the artificial compression proper-orthogonal decomposition reduced-order model (POD-ROM) for control of thermally convective flows is presented. It is a velocity-pressure reduced-order model that does not require satisfaction of div-stability (Ladyzhenskaya-Babuska-Brezzi) condition for mixed reduced-order subspaces. Second-Order in time artificial compression POD-ROM approximations of solutions of the optimality system are defined and error estimates are derived. Numerical experiments are performed to validate the accuracy and efficiency of the scheme in solving a boundary control problem involving mixed convection flow.
Authors
- S. S. Ravindran (ORCID: https://orcid.org/0000-0002-8099-8389)
Institutions
- University of Alabama in Huntsville (US)
Publication Details
- Published
- 2025-06-24
- DOI
- https://doi.org/10.23919/ecc65951.2025.11187117
- Primary Topic
- Model Reduction and Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00