A Mass Conservative Kalman Filter Algorithm for Computational Thermo-Fluid Dynamics
| Autor: | Carolina Introini, Stefano Lorenzi, Antonio Cammi, Davide Baroli, Bernhard Peters, Stéphane Bordas |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
computational fluid-dynamics
OpenFOAM Kalman filter mass conservation data assimilation lid-driven cavity Technology Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85 |
| Zdroj: | Materials, Vol 11, Iss 11, p 2222 (2018) |
| Druh dokumentu: | article |
| ISSN: | 1996-1944 |
| DOI: | 10.3390/ma11112222 |
| Popis: | This paper studies Kalman filtering applied to Reynolds-Averaged Navier⁻Stokes (RANS) equations for turbulent flow. The integration of the Kalman estimator is extended to an implicit segregated method and to the thermodynamic analysis of turbulent flow, adding a sub-stepping procedure that ensures mass conservation at each time step and the compatibility among the unknowns involved. The accuracy of the algorithm is verified with respect to the heated lid-driven cavity benchmark, incorporating also temperature observations, comparing the augmented prediction of the Kalman filter with the Computational Fluid-Dynamic solution found on a fine grid. |
| Databáze: | Directory of Open Access Journals |
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