Introini, Carolina, Lorenzi, Stefano, Cammi, Antonio, Baroli, Davide, Peters, Bernhard and Bordas, Stéphane
2018.
A mass conservative Kalman filter algorithm for computational thermo-fluid dynamics.
Materials
11
(11)
, 2222.
10.3390/ma11112222
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Official URL: http://dx.doi.org/10.3390/ma11112222
Abstract
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.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Engineering |
Publisher: | MDPI |
ISSN: | 1996-1944 |
Date of First Compliant Deposit: | 28 March 2019 |
Date of Acceptance: | 30 October 2018 |
Last Modified: | 28 Mar 2019 14:45 |
URI: | http://orca-mwe.cf.ac.uk/id/eprint/121200 |
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