Preprint
Hydrodynamics of an oscillating cylinder inline with steady current
arXiv
Cornell University
13/09/2024
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Abstract
Wake and force characteristics of an oscillating cylinder in inline steady currents are investigated numerically over a wide parameter space of dimensionless oscillation amplitude (A∗=0.01−0.50) and wavelength (λ∗=0.4−25) at a fixed Reynolds number Re=500. Fundamental issues addressed in this study are the interactions of wakes induced by steady approaching flow and cylinder oscillations and the influences of the governing parameters of $A^$ and $\lambda^$ on such interactions. Whilst the collinear flow is dominated by wakes induced by cylinder oscillation at λ∗≤1.5 and steady current at λ∗≥10, it exhibits characteristics of nonlinear interactions of wakes induced by the cylinder oscillation and steady current at λ∗=1.5−10, such as the formation of multiple synchronized modes interleaved with desynchronized modes. The synchronized mode varies with both $\lambda^$ and $A^$, forming an inclined Arnold's tongue across $\lambda^-A^$ space. There is a wide variability of the vortex shedding pattern in each synchronized mode. Variations of different hydrodynamic force coefficients with $\lambda^$ and $A^$ are investigated with physical interpretations based on the wake characteristics. The applicability of the Morison equation in predicting inline force fluctuations is examined. We found that the Morison equation shows reasonable accuracy only for a small range of λ∗≤1.5. Beyond this range, its performance deteriorates due to the influence of steady current on wake characteristics.
Details
- Title
- Hydrodynamics of an oscillating cylinder inline with steady current
- Creators
- Chengjiao Ren - The University of Western AustraliaFeifei Tong - Southern Cross UniversityFei He - The University of Western AustraliaLiang Cheng - South China University of Technology
- Publication Details
- arXiv
- Publisher
- Cornell University
- Number of pages
- 25
- Grant note
- This work was supported by the Australia Research Council Discovery Grant (Project ID: DP200102804). This research was supported by computational resources provided by the National Computational Merit Allocation Scheme (NCMAS) and the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia.
- Identifiers
- 991013224409702368
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Preprint