International Journal of Naval Architecture and Ocean Engineering

The Society of Naval Architects of Korea (대한조선학회)
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Empirical decomposition method for modeless component and its application to VIV analysis

  • Chen, Zheng-Shou (Department of Naval Architecture and Ocean Engineering, Zhejiang Ocean University) ;
  • Park, Yeon-Seok (Department of Ocean Engineering, Mokpo National University) ;
  • Wang, Li-ping (College of Mathematical Science, Ocean University of China) ;
  • Kim, Wu-Joan (Department of Ocean Engineering, Mokpo National University) ;
  • Sun, Meng (Department of Naval Architecture and Ocean Engineering, Zhejiang Ocean University) ;
  • Li, Qiang (Department of Naval Architecture and Ocean Engineering, Zhejiang Ocean University)
  • Published : 2015.03.31
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Abstract

Aiming at accurately distinguishing modeless component and natural vibration mode terms from data series of nonlinear and non-stationary processes, such as Vortex-Induced Vibration (VIV), a new empirical mode decomposition method has been developed in this paper. The key innovation related to this technique concerns the method to decompose modeless component from non-stationary process, characterized by a predetermined 'maximum intrinsic time window' and cubic spline. The introduction of conceptual modeless component eliminates the requirement of using spurious harmonics to represent nonlinear and non-stationary signals and then makes subsequent modal identification more accurate and meaningful. It neither slacks the vibration power of natural modes nor aggrandizes spurious energy of modeless component. The scale of the maximum intrinsic time window has been well designed, avoiding energy aliasing in data processing. Finally, it has been applied to analyze data series of vortex-induced vibration processes. Taking advantage of this newly introduced empirical decomposition method and mode identification technique, the vibration analysis about vortex-induced vibration becomes more meaningful.

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References

  1. Chen, Z.S., 2010. Numerical simulation and signal analysis method for vortex-induced vibration of flexible risers. Doctoral dissertation. Mokpo National University.
  2. Chen, Z.S. and Kim W.J., 2010. Effect of bidirectional internal flow on fluid-structure interaction dynamics of conveying marine riser model subject to shear current. International Journal of Architecture and Ocean Engineering, 4, pp.57-70.
  3. Drazin, P.G., 1992. Nonlinear systems. Cambridge: Cambridge University Press.
  4. Huang, N.E., Long, S.R. and Shen, Z., 1996. The mechanism for frequency downshift in nonlinear wave evolution. Advances in Applied Mechanics, 32, pp.59-111. https://doi.org/10.1016/S0065-2156(08)70076-0
  5. Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N.C., Tung, C.C. and Liu, H.H., 1998. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings Royal Society London, 454, pp.903-906.
  6. Kaasen, K.E., Lie, H., Solaas, F. and Vandive, J.K., 2000. Norwegian deepwater program: analysis of vortex-induced vibrations of marine risers based on full-scale measurements. Proceedings of the Offshore Technology Conference, Houston, Texas, USA, 1-4 May 2000, pp.1-11.
  7. Kleiven, G., 2002. Identifying VIV vibration modes by use of the empirical orthogonal functions technique. Proceedings of the 21st International Conference on Offshore Mechanics and Arctic Engineering, Oslo, Norway, 23-28 June 2002, pp. 711-719.
  8. Lehn, E., 2003. VIV suppression tests on high L/D flexible cylinders. Trondheim, Norway: Norwegian Marine Technology Research Institute.
  9. Lie, H. and Kaasen, K.E., 2006. Modal analysis of measurements from a large-scale VIV model test of a riser in linearly sheared flow. Journal of Fluids and Structures, 22(4), pp.557-575. https://doi.org/10.1016/j.jfluidstructs.2006.01.002
  10. Longuet-Higgins, M.S., 1957. The statistical analysis of a random moving surface. Philosophical Transactions of the Royal Society of London, A249, pp.321-387. https://doi.org/10.1098/rsta.1957.0002
  11. Longuet-Higgins, M.S., 1984. Statistical properties of wave groups in a random sea state. Philosophical Transactions of the Royal Society of London, A312, pp.219-250.
  12. Michael, F., 2008. Theoretical analysis and comparison of the Hilbert transform decomposition methods. Mechanical Systems and Signal Processing, 22, pp.509-519. https://doi.org/10.1016/j.ymssp.2007.09.013
  13. Trim, A.D., Braaten, H., Lie, H. and Tognarelli, M.A., 2005. Experimental investigation of vortex-induced vibration of long marine risers. Journal of Fluids and Structures, 21, pp.335-361. https://doi.org/10.1016/j.jfluidstructs.2005.07.014

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