A composite dynamic mode decomposition analysis of turbulent channel flows

Garicano Mena, Jesus and Li, B. and Ferrer Vaccarezza, Esteban and Valero Sánchez, Eusebio (2019). A composite dynamic mode decomposition analysis of turbulent channel flows. "Physics of Fluids", v. 31 (n. 11); pp.. ISSN 1070-6631. https://doi.org/10.1063/1.5119342.

Description

Title: A composite dynamic mode decomposition analysis of turbulent channel flows
Author/s:
  • Garicano Mena, Jesus
  • Li, B.
  • Ferrer Vaccarezza, Esteban
  • Valero Sánchez, Eusebio
Item Type: Article
Título de Revista/Publicación: Physics of Fluids
Date: 2019
ISSN: 1070-6631
Volume: 31
Subjects:
Freetext Keywords: Turbulence simulations, computational fluid dynamics, turbulent flows, algorithms and data structure, flow control
Faculty: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Department: Matemática Aplicada a la Ingeniería Aeroespacial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this contribution, we consider the Dynamic Mode Decomposition (DMD) framework as a purely data-driven tool to investigate both standard and actuated turbulent channel databases via Direct Numerical Simulation (DNS). Both databases have comparable Reynolds number Re ≈ 3600. The actuation consists in the imposition of a streamwise-varying sinusoidal spanwise velocity at the wall, known to lead to drag reduction. Specifically, a composite-based DMD analysis is conducted, with hybrid snapshots composed by skin friction and Reynolds stresses. A small number of dynamic modes (∼3–9) are found to recover accurately the DNS Reynolds stresses near walls. Moreover, the DMD modes retrieved propagate at a range of phase speeds consistent with those reported in the literature. We conclude that composite DMD is an attractive, purely data-driven tool to study turbulent flows. On the one hand, DMD is helpful to identify features associated with the drag, and on the other hand, it reveals the changes in flow structure when actuation is imposed.

Funding Projects

TypeCodeAcronymLeaderTitle
FP7324298NNATACUNIVERSIDAD POLITECNICA DE MADRIDNew Numerical and Analytical Tools for Aerodynamic flow Control
Horizon 2020690623DRAGYCENTRE INTERNACIONAL DE METODES NUMERICS EN ENGINYERIADrag Reduction in Turbulent Boundary Layer via Flow Control

More information

Item ID: 67030
DC Identifier: https://oa.upm.es/67030/
OAI Identifier: oai:oa.upm.es:67030
DOI: 10.1063/1.5119342
Official URL: https://aip.scitation.org/doi/10.1063/1.5119342
Deposited by: Memoria Investigacion
Deposited on: 11 Jan 2022 08:40
Last Modified: 11 Jan 2022 08:40
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