Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

A mass conservative Kalman filter algorithm for computational thermo-fluid dynamics

Introini, Carolina, Lorenzi, Stefano, Cammi, Antonio, Baroli, Davide, Peters, Bernhard and Bordas, Stéphane ORCID: https://orcid.org/0000-0001-8634-7002 2018. A mass conservative Kalman filter algorithm for computational thermo-fluid dynamics. Materials 11 (11) , 2222. 10.3390/ma11112222

[thumbnail of materials-11-02222.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (886kB) | Preview

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
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: 06 May 2023 02:07
URI: https://orca.cardiff.ac.uk/id/eprint/121200

Citation Data

Cited 5 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics