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Hydrodynamic damping of an oscillating cylinder at small Keulegan–Carpenter numbers
Published online by Cambridge University Press: 02 March 2021
Abstract
Direct numerical simulations (DNS) of oscillatory flow around a cylinder show that the Stokes–Wang (S–W) solution agrees exceptionally well with DNS results over a much larger parameter space than the constraints of $\beta K^2\ll 1$ and
$\beta \gg 1$ specified by the S–W solution, where
$K$ is the Keulegan–Carpenter number and
$\beta$ is the Stokes number. The ratio of drag coefficients predicted by DNS and the S–W solution,
$\varLambda _K$, mapped out in the
$K\text {--}\beta$ space, shows that
$\varLambda _K < 1.05$ for
$K\leq {\sim }0.8$ and
$1 \leq \beta \leq 10^6$, which contradicts its counterpart based on experimental results. The large
$\varLambda _K$ values are primarily induced by the flow separation on the cylinder surface, rather than the development of three-dimensional (Honji) instabilities. The difference between two-dimensional and three-dimensional DNS results is less than 2 % for
$K$ smaller than the corresponding
$K$ values on the iso-line of
$\varLambda _K = 1.1$ with
$\beta = 200\text {--}20\,950$. The flow separation actually occurs over the parameter space where
$\varLambda _K\approx 1.0$. It is the spatio-temporal extent of flow separation rather than separation itself that causes large
$\varLambda _K$ values. The proposed measure for the spatio-temporal extent, which is more sensitive to
$K$ than
$\beta$, correlates extremely well with
$\varLambda _K$. The conventional Morison equation with a quadratic drag component is fundamentally incorrect at small
$K$ where the drag component is linearly proportional to the incoming velocity with a phase difference of
${\rm \pi} /4$. A general form of the Morison equation is proposed by considering both viscous and form drag components and demonstrated to be superior to the conventional equation for
$K < {\sim }2.0$.
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- © The Author(s), 2021. Published by Cambridge University Press
References
REFERENCES
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