2019
DOI: 10.1017/jfm.2019.48
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Spatio-temporal proper orthogonal decomposition of turbulent channel flow

Abstract: An extension of Proper Orthogonal Decomposition is applied to the wall layer of a turbulent channel flow (Re τ = 590), so that empirical eigenfunctions are defined in both space and time. Due to the statistical symmetries of the flow, the eigenfunctions are associated with individual wavenumbers and frequencies. Self-similarity of the dominant eigenfunctions, consistent with wall-attached structures transferring energy into the core region, is established. The most energetic modes are characterized by a fundam… Show more

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Cited by 50 publications
(10 citation statements)
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“…As a consequence, Dirichlet boundary conditions are applied to all walls for velocity and to the top smooth and bottom rough plates for temperature, whereas homogeneous Neumann boundary conditions are applied to all walls for the pressure and to the vertical walls for temperature. SUNFLUIDH code is a general purpose solver for modelling quasi-incompressible fluid flows, such as rotating flows with a free interface (Yang et al 2020), turbulent flows (Derebail Muralidhar et al 2019) or multi-physics studies (Hireche et al 2020).…”
Section: Numerical Methods and Validationmentioning
confidence: 99%
See 1 more Smart Citation
“…As a consequence, Dirichlet boundary conditions are applied to all walls for velocity and to the top smooth and bottom rough plates for temperature, whereas homogeneous Neumann boundary conditions are applied to all walls for the pressure and to the vertical walls for temperature. SUNFLUIDH code is a general purpose solver for modelling quasi-incompressible fluid flows, such as rotating flows with a free interface (Yang et al 2020), turbulent flows (Derebail Muralidhar et al 2019) or multi-physics studies (Hireche et al 2020).…”
Section: Numerical Methods and Validationmentioning
confidence: 99%
“…2020), turbulent flows (Derebail Muralidhar et al. 2019) or multi-physics studies (Hireche et al. 2020).…”
Section: Physical Configuration and Governing Equationsmentioning
confidence: 99%
“…Proper Orthogonal Decomposition (POD) is a mathematical procedure developed initially by Lumley [39] and later extended as Karhunen-Loeve expansion in pattern recognition [40,41] to decompose a time-dependent flow variable into infinite linear combinations of orthogonal, to analyse flow turbulence. There are a number of ways to achieve this, such as the Snapshot method [34], Dynamic Mode Decomposition (DMD), [42], spatiotemporal POD [30], etc., each having their own merits and demerits. In this study, we use the Snapshot method to compute the orthogonal modes of the flow fields.…”
Section: Proper Orthogonal Decomposition (Pod)mentioning
confidence: 99%
“…An optimal representation of the sequence is provided by the POD method, as features identified by POD are orthogonal to each other [4]. Recently, techniques to perform Spectral POD have been described in References [5][6][7].…”
Section: Introductionmentioning
confidence: 99%