Journal
OCEAN ENGINEERING
Volume 210, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.oceaneng.2020.107541
Keywords
Vortex-induced vibration; Drag coefficient; Added mass coefficient; Flexible pipe; Oscillatory flow
Funding
- National Science Fund for Distinguished Young Scholars of China [51825903]
- Joint Funds of the National Natural Science Foun dation of China [U19B2013]
- National Natural Science Foundation of China [51909159]
- Shanghai Science and Technology Program [19XD1402000, 19JC1412800, 19JC1412801]
- Key projects for intergovernmental cooperation in international science, technology and innovation [SQ2018YFE010801]
- National Program on Key Basic Research Project of China (973 Program) [2015CB251203]
- National Key R&D Program of China [2017YFC08045002]
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The drag and added mass coefficients of a flexible pipe undergoing vortex-induced vibration (VIV) in an oscillatory flow are investigated experimentally with maximum reduced velocities ranging from 4 to 7.9 and Keulegan-Carpenter (KC) numbers ranging from 10 to 178. The strain responses are measured by fiber bragg grating sensors. By using displacement reconstruction and inverse analysis methods, displacement response and hydrodynamic force are identified. Then, through least square method, drag and added mass coefficients are extracted. The results show that drag coefficient varies with both the maximum reduced velocity and KC number. It is stable in cases with large KC numbers but significantly amplified in the cases of small KC numbers. The maximum value of the drag coefficient can reach 3.5 at kC < 30. A comparison with the results of a stationary cylinder without VIV in an oscillatory flow demonstrates that VIV can amplify the drag coefficient and reduce the sensitivity of the hydrodynamic coefficients to the Stokes number. Based on the experimental results, an empirical formula for predicting the drag coefficients in an oscillatory flow is proposed that accounts for the VIV response and KC number, and its applicability is effectively verified via a comparison between the predicted and experimental results.
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