2003
DOI: 10.1017/s0022112003006694
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A hierarchy of low-dimensional models for the transient and post-transient cylinder wake

Abstract: A hierarchy of low-dimensional Galerkin models is proposed for the viscous, incompressible flow around a circular cylinder building on the pioneering works of Stuart (1958), Deane et al. (1991), and Ma & Karniadakis (2002). The empirical Galerkin model is based on an eight-dimensional Karhunen-Loève decomposition of a numerical simulation and incorporates a new 'shift-mode' representing the mean-field correction. The inclusion of the shift-mode significantly improves the resolution of the transient dynamics fr… Show more

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Cited by 875 publications
(789 citation statements)
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“…The obtained OID modes represent mainly the first and the second flow harmonics (see Noack et al 2003). This is shown in figure 3, where the axis of the streamwise direction is denoted by x and the axis of the transverse direction by y.…”
Section: Lift and Drag Optimized Oids Of Cylinder Wake Flowmentioning
confidence: 96%
“…The obtained OID modes represent mainly the first and the second flow harmonics (see Noack et al 2003). This is shown in figure 3, where the axis of the streamwise direction is denoted by x and the axis of the transverse direction by y.…”
Section: Lift and Drag Optimized Oids Of Cylinder Wake Flowmentioning
confidence: 96%
“…POD is often employed to capture the dominant features of the flow by a low number of basis functions or modes, which can be used to elaborate reduced order models (Berkooz et al 1993;Ma & Karniadakis 2002;Noack et al 2003). It may be an efficient tool to identify the main elements of wake unsteadiness and connect them to spatial patterns of the flow (e.g.…”
Section: Flow Patternsmentioning
confidence: 99%
“…an extension of POD to data compression of multiple operation points, see [17] for sequential POD or [30] for DPOD. We follow an alternative approach suggested in [20,22] of a canonical reduction with parameter identification. Here, a very small system of nonlinear ODEs is adapted to the computed flows in the actuated and non-actuated case.…”
Section: Model Reductionmentioning
confidence: 99%
“…[2,18,19,35]. A reduced-order model (ROM) is considered in Section 3 due to [20] and [22]. The numerical application of this technique is explained in Section 3 and first test examples are presented.…”
Section: Introductionmentioning
confidence: 99%