2013
DOI: 10.1016/j.expthermflusci.2013.06.014
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Proper orthogonal decomposition analysis of the flow field in a plane jet

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Cited by 43 publications
(15 citation statements)
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“…For churn flow at z = 3.0 m, εD U 3 increased only slightly in comparison with that at z = 1.0 m. However, for bubbly flow, the value of εD U 3 more than doubled at z = 3.0 m in comparison to z = 1.0 m, which is consistent with the literature (Griffiths, 2012). Thus, at z = 3.0 m, the normalized total energy dissipation rate for churn flow was around 2.5 times that of bubbly flow, which is consistent with the ratio of 2.0 of maximum streamwise turbulence intensities between churn flow and bubbly flow ( Figure S8) (Iqbal & Thomas, 2007;Poole & Hall, 2014;Rahai & Wong, 2002;Shim et al, 2013).…”
Section: Resultssupporting
confidence: 89%
“…For churn flow at z = 3.0 m, εD U 3 increased only slightly in comparison with that at z = 1.0 m. However, for bubbly flow, the value of εD U 3 more than doubled at z = 3.0 m in comparison to z = 1.0 m, which is consistent with the literature (Griffiths, 2012). Thus, at z = 3.0 m, the normalized total energy dissipation rate for churn flow was around 2.5 times that of bubbly flow, which is consistent with the ratio of 2.0 of maximum streamwise turbulence intensities between churn flow and bubbly flow ( Figure S8) (Iqbal & Thomas, 2007;Poole & Hall, 2014;Rahai & Wong, 2002;Shim et al, 2013).…”
Section: Resultssupporting
confidence: 89%
“…For flow dynamics dominated by large-scale structures, the turbulence statistics can be reconstructed satisfactorily with the first few modes obtained from the POD technique. The POD technique has been applied to a wide range of flows including bar racks in open channel (Tsikata, Tachie, & Katopodis, 2014), free jets (Meyer, Pedersen, & Ozcan, 2007;Shim, Sharm, & Richards, 2013) and 3D wall jets (Agelinchaab &Tachie, 2011a). The results by Shim et al (2013) revealed symmetric counter-rotating vortices within the initial region of the jet.…”
Section: Introductionmentioning
confidence: 96%
“…The proper orthogonal decomposition (POD) is a statistical technique widely used for the identification of coherent structures in turbulent flows [1][2][3], and, among other applications, has been applied to the analysis of turbulent thermal convection problems [4,5], study of jet pressure signals [6], modal identification of structures [7][8][9], and design-space dimensionality reduction in shape optimization problems [10,11]. POD has been used to study coherent structures in a transient buoyant jet in [12], whereas examples of application to planar jets are provided in [3,13]. Equivalent to the Karhunen-Loève expansion (KLE) and (in the discrete form) to the principal component analysis (PCA), POD allows to decompose the flow into a linear combination of a subset of orthogonal eigenfunctions, capable of highlighting its spatial/temporal structure and providing a reduced-order model (ROM) for the flow dynamics.…”
Section: Introductionmentioning
confidence: 99%