Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales

Mi, Jianchun and Deo, Ravinesh C. and Nathan, Graham J. (2005) Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales. Physical Review E: Statistical, Nonlinear and Soft Matter Physics, 71 (6). pp. 1-5. ISSN 1539-3755

Abstract

The present fundamental knowledge of fluid turbulence has been established primarily from hot- and coldwire measurements. Unfortunately, however, these measurements necessarily suffer from contamination by noise since no certain method has previously been available to optimally filter noise from the measured signals. This limitation has impeded our progress of understanding turbulence profoundly.We address this limitation by presenting a simple, fast-convergent iterative scheme to digitally filter signals optimally and find Kolmogorov scales definitely. The great efficacy of the scheme is demonstrated by its application to the instantaneous velocity measured in a turbulent jet.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author's version not held.
Depositing User: Dr Ravinesh C Deo
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 15 Apr 2010 06:26
Last Modified: 02 Jul 2013 23:46
Uncontrolled Keywords: fluid turbulence; Kolmogorov scales; plane jet; signal processing
Fields of Research (FOR2008): 09 Engineering > 0915 Interdisciplinary Engineering > 091508 Turbulent Flows
09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
09 Engineering > 0915 Interdisciplinary Engineering > 091504 Fluidisation and Fluid Mechanics
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: doi: 10.1103/PhysRevE.71.066304
URI: http://eprints.usq.edu.au/id/eprint/7415

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