Abstract

Suppressing vortex-induced vibration (VIV) has recently attracted numerous researchers due to its practical significance in many engineering applications. Most of the previous studies have focused on a passive or active flow control. A structurally active control approach to mitigate a two-dimensional, nonlinear coupled, cross-flow/in-line VIV has not been well studied. This paper presents a reduced-order fluid-structure dynamic model and combined analytical–numerical solutions for the efficient suppression of two-dimensional VIV of a flexibly mounted circular cylinder in uniform flows. The theoretical model is based on the use of coupled Duffing–Rayleigh oscillators with three variables describing the cylinder cross-flow/in-line displacements and the strength of the fluid vortex circulation in the cylinder wake. These equations of fluid-structure motions contain geometric and hydrodynamic nonlinearities. Closed-loop linear and nonlinear velocity feedback controllers are implemented in the transverse direction governing the larger cross-flow response than the associated in-line counterpart. Approximated analytical expressions are derived by using the harmonic balance to explicitly capture the system nonlinear dynamic features and the effects of key dimensionless parameters. Parametric investigations are carried out to evaluate the linear versus nonlinear controller performance in terms of the maximum response suppression capability and the power requirement in a wide range of reduced flow velocities, mass ratios, and control gains. Over the main lock-in resonance region with coupled cross-flow/in-line responses, the linear controller is found to be more efficient in suppressing the two-dimensional VIV by also modifying the system frequencies and phase relationships. Nevertheless, based on the power comparison, the nonlinear control is superior to the linear control for very small targeted controlled amplitudes of a very low-mass cylinder. These active control strategies may be further applied to the multimode VIV suppression of a long flexible cylinder with multi degrees of freedom.

Highlights

  • Offshore cylindrical structures such as spar platforms, subsea risers, cables, mooring lines, flowlines, pipelines, jumpers, and vertical tensioned legs are widely used in the oil and gas industry

  • This paper presents theoretical models and combined analytical–numerical approaches to investigate the structurally active linear and nonlinear controls for effectively suppressing the two-dimensional coupled cross-flow/in-line vortex-induced vibration (VIV) of circular cylinders

  • The reduced-order nonlinear dynamic model simulating the cylinder– vortex strength interaction is based on the use of coupled Duffing–Rayleigh oscillators which capture basic VIV phenomena in the absence of control

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Summary

Introduction

Offshore cylindrical structures such as spar platforms, subsea risers, cables, mooring lines, flowlines, pipelines, jumpers, and vertical tensioned legs are widely used in the oil and gas industry. A velocity feedback control for a circular cylinder with a very high mass ratio was studied by Mehmood et al [27] where linear/nonlinear active feedback controllers for cross-flow VIV were numerically investigated using the computational fluid dynamics (CFD) approach in a very low Reynolds number (Re) range of 95–125. The cross-flow control force was considered, and the in-line motion was suppressed due to the coupling of cross-flow/in-line VIV, even at such a low Re. practical subcritical flow applications in a higher Re range and understanding of various aspects related to the 2-DOF VIV active controls including the effects of control gain, cylinder mass-damping ratio and reduced flow velocity, are still needed. This paper presents theoretical models and combined analytical–numerical approaches to investigate the structurally active linear and nonlinear controls for effectively suppressing the two-dimensional coupled cross-flow/in-line VIV of circular cylinders.

Nonlinear fluid-structure dynamic model
Analytical prediction of controlled responses
Parametric investigation and discussion
Model calibration and validation
Comparison of power requirement
Findings
Conclusions
Full Text
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