Abstract:In this paper we introduce a simplified variant of the well-known Taylor-Couette flow.The aim is to develop and investigate a model problem which is as simple as possible while admitting a wide range of behaviour, and which can be used for further study into stability, transition and ultimately control of flow. As opposed to models based on ordinary differential equations, this model is fully specified by a set of partial differential equations that describe the evolution of the three velocity components over … Show more
“…The Poincaré constant is then given by C = π 2 √ L 2 +2 2 . The linear stability limit of the flow can be computed by studying the spectrum of the linearized model (Lasagna et al (2016)). That is,…”
Section: Rotating Couette Flowmentioning
confidence: 99%
“…We consider the flow between two co-axial cylinders, where the gap between the cylinders is much smaller than their radii. In this setting, the flow can be represented by the Couette flow subject to rotation (Lasagna et al (2016)) as illustrated in Figure 10. The axis of rotation is parallel to the x 3 -axis and the circumferential direction corresponds u(y, z) to x 1 -axis.…”
We propose a framework to understand input-output amplification properties of nonlinear partial differential equation (PDE) models of wall-bounded shear flows, which are spatially invariant in one coordinate (e.g., streamwise-constant plane Couette flow). Our methodology is based on the notion of dissipation inequalities in control theory. In particular, we consider flows with body and other forcings, for which we study the inputto-output properties, including energy growth, worst-case disturbance amplification, and stability to persistent disturbances. The proposed method can be applied to a large class of flow configurations as long as the base flow is described by a polynomial. This includes many examples in both channel flows and pipe flows, e.g., plane Couette flow, and Hagen-Poiseuille flow. The methodology we use is numerically implemented as the solution of a (convex) optimization problem. We use the framework to study input-output amplification mechanisms in rotating Couette flow, plane Couette flow, plane Poiseuille flow, and Hagen-Poiseuille flow. In addition to showing that the application of the proposed framework leads to results that are consistent with theoretical and experimental amplification scalings obtained in the literature through linearization around the base flow, we demonstrate that the stability bounds to persistent forcings can be used as a means to predict transition to turbulence in wall-bounded shear flows.
“…The Poincaré constant is then given by C = π 2 √ L 2 +2 2 . The linear stability limit of the flow can be computed by studying the spectrum of the linearized model (Lasagna et al (2016)). That is,…”
Section: Rotating Couette Flowmentioning
confidence: 99%
“…We consider the flow between two co-axial cylinders, where the gap between the cylinders is much smaller than their radii. In this setting, the flow can be represented by the Couette flow subject to rotation (Lasagna et al (2016)) as illustrated in Figure 10. The axis of rotation is parallel to the x 3 -axis and the circumferential direction corresponds u(y, z) to x 1 -axis.…”
We propose a framework to understand input-output amplification properties of nonlinear partial differential equation (PDE) models of wall-bounded shear flows, which are spatially invariant in one coordinate (e.g., streamwise-constant plane Couette flow). Our methodology is based on the notion of dissipation inequalities in control theory. In particular, we consider flows with body and other forcings, for which we study the inputto-output properties, including energy growth, worst-case disturbance amplification, and stability to persistent disturbances. The proposed method can be applied to a large class of flow configurations as long as the base flow is described by a polynomial. This includes many examples in both channel flows and pipe flows, e.g., plane Couette flow, and Hagen-Poiseuille flow. The methodology we use is numerically implemented as the solution of a (convex) optimization problem. We use the framework to study input-output amplification mechanisms in rotating Couette flow, plane Couette flow, plane Poiseuille flow, and Hagen-Poiseuille flow. In addition to showing that the application of the proposed framework leads to results that are consistent with theoretical and experimental amplification scalings obtained in the literature through linearization around the base flow, we demonstrate that the stability bounds to persistent forcings can be used as a means to predict transition to turbulence in wall-bounded shear flows.
“…They opined that the energy gradient method which is a semi-empirical theory is effectual for rotating fluid flows. Stability and instability of Taylor-Couette flow and Couette flow analysis have been investigated thoroughly numerically and experimentally over the past years found in [3][4][5][6][7][8][9]. Hristova et al [10] stated that transient growth is enhanced by the curvature of the rotating cylinders [11].…”
Semi-analytical solution of transient generalized Taylor-Couette flow of a viscous, incompressible fluid between the gaps of concentric rotating cylinders under applied azimuthal pressure gradient ispresented. The dimensionless governing equations are transformed into standard Bessel equation with the aid of Laplace transformation technique and by a suitable transformation. Analytical solution of the Besselequation is obtained and the Riemann-sum-approximation method of Laplace inversion is utilized. The solution obtained is validated by comparing the Riemann-sum-approximation solution with the exact steady-statesolutions obtained separately. The velocity profile and skin frictions on both surfaces of cylinders are depicted graphically and discussed. The present study reveals that the velocity profile of the fluid is enhanced withincrease in time, and angular velocity,. The velocity profile attains fully developed state at large values of. In addition, increase in pressure gradient, increases the velocity profile of the fluid. Furthermore, back flow occursfor adverse pressure gradient.
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