Towards model order reduction for fluid-thermal analysis
| Autor: | Kento Kaneko, Paul Fischer, Ping-Hsuan Tsai |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Model order reduction
Nuclear and High Energy Physics 020209 energy Mechanical Engineering Reynolds number 02 engineering and technology Eigenfunction 01 natural sciences 010305 fluids & plasmas Physics::Fluid Dynamics symbols.namesake Nonlinear system Nuclear Energy and Engineering Flow (mathematics) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering symbols Applied mathematics General Materials Science Safety Risk Reliability and Quality Galerkin method Waste Management and Disposal Parametric statistics Interpolation Mathematics |
| Zdroj: | Nuclear Engineering and Design. 370:110866 |
| ISSN: | 0029-5493 |
| DOI: | 10.1016/j.nucengdes.2020.110866 |
| Popis: | The authors develop basic components of a parametric model-order reduction (pMOR) procedure targeting high Rayleigh-number buoyancy-driven flows. The pMOR is based on Galerkin formulation of the governing Boussinesq equations using eigenfunction bases derived from proper orthogonal decomposition. The advantages of pMOR over parametric interpolation are demonstrated for quantities of interest (QOIs) with linear and nonlinear dependencies on the solution in low Rayleigh-number cases. Constraint-base and Leray-type regularizations are shown to offer significant advantages over the standard reduced-order Galerkin formulation in a variety of examples including 3D Rayleigh–Benard flow at Rayleigh number 10 7 and turbulent flow in a half-pipe at Reynolds number 5300. |
| Databáze: | OpenAIRE |
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