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Karhunen-Loéve decomposition of high Reynolds number turbulent pipe flows: A Voronoi analysis
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics. (SimEx)ORCID iD: 0000-0002-6712-8944
Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing 100081, China; Department of Mechanical Engineering, Texas Tech University, Lubbock 79409, Texas, USA.
Department of Fluids and Environment/MACE, The University of Manchester M139PL, Manchester, UK.
Department of Mechanical Engineering, Texas Tech University, Lubbock 79409, Texas, USA.
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2024 (English)In: Journal of Physics: Conference Series, IOP Publishing , 2024, Vol. 2753, p. 012018-, article id 012018Conference paper, Published paper (Refereed)
Abstract [en]

We perform the Karhunen-Loéve decomposition of the data from direct numerical simulations pertaining to incompressible turbulent pipe flow at various Reynolds numbers, in order to identify large-scale coherent structures. A novel approach based on the Voronoi diagram is introduced to estimate the energy distribution along the radial direction as a function of the geometrical properties of the modes. In contrast to previous classifications, no user-defined criterion, threshold or ad-hoc separation of the eddies is required since the two most energetic branches are inherently present as the Reynolds number increases. Details about the Voronoi analysis are provided, together with a comprehensive validation and comparison with previous classifications at low Reynolds numbers. We discuss the results and potential of the presented approach at Reτ = 180 and 5200, commenting on the two classes of coherent structures with a varying and constant size in the radial direction appearing at Reτ = 5200.

Place, publisher, year, edition, pages
IOP Publishing , 2024. Vol. 2753, p. 012018-, article id 012018
National Category
Fluid Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-346843DOI: 10.1088/1742-6596/2753/1/012018ISI: 001223470600018Scopus ID: 2-s2.0-85193052664OAI: oai:DiVA.org:kth-346843DiVA, id: diva2:1860457
Conference
5th Madrid Summer School on Turbulence Workshop, Madrid, Spain, May 29 2023 - Jun 30 2023
Note

QC 20240527

Available from: 2024-05-24 Created: 2024-05-24 Last updated: 2025-02-09Bibliographically approved

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Massaro, DanieleSchlatter, Philipp

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