Numerical Vortex-Induced Vibration Prediction of Marine Risers in Time-Domain Based on a Forcing Algorithm

Abstract

Vortex-induced vibration (VIV) of marine risers poses a significant challenge as the offshore oil and gas industry moves into deep water. A time-domain analysis tool has been developed to predict the VIV of marine risers based on a forcing algorithm and by making full use of the available high Reynolds number experimental data. In the formulation, the hydrodynamic damping is not treated as a special case but simply an extension of the experimentally derived lift curves. The forcing algorithm was integrated into a mooring analysis program based on the global coordinate-based finite element method. At each time step, the added mass, lifting force, and drag force coefficients and their corresponding loads are computed for each element. Validation studies have been carried out for a full-scale rigid riser segment and a model-scale flexible riser. The numerical results were compared with experimental data and solutions by other programs.

Improving time-domain prediction of vortex-induced vibration of marine risers

“…In the DeepStar-JIP, a rigid cylinder was towed at high Re (up to 1.8 × 10 6 ) subject to controlled oscillations in the cross-flow direction. This chapter describes in detail the improvement of the time-domain VIV model based on the work of Spencer et al (2007) and Ma et al (2014).…”

“…Therefore, C d includes one mean part and an oscillating component. Spencer et al (2007) and Ma et al (2014) predicted the hydrodynamic forces on a cylinder in the current VIV cycle by utilizing the state variables, A * and V r , calculated from the last cycle. The underlining assumption was that the cylinder experiences negligible motion variations from cycle to cycle.…”

“…To overcome the drawbacks of the high-order interpolation method, a bilinear scheme was developed by Ma et al (2014) to interpolate the hydrodynamic coefficients. The effect of the surface reconstruction on the time-domain VIV prediction model was further investigated in this work.…”

“…In addition, higher-order descriptions of the experimental data would distort the accuracy and fidelity of the interpolated values. Therefore, a bilinear interpolation approach equivalent to that by Ma et al (2014) is adopted in this study. The detailed surface interpolation scheme is given in Appendix B.…”

On the probabilistic distribution of loads on a marine riser

“…Y. , Pham et al (2016), Sun et al (2014) and Zhang et al (2015) studied the use of composite materials for the fabrication of risers. Special attention has been paid to VIV; W. Chen et al ( , 2014 studied coupled floater motions and VIV; Gu et al (2013b) and Josefsson and Dalton (2010) focused on the development of analytical models to assess VIV; Ma and Spencer (2014), Wang and Xiao (2016), Xu and Cater (2016) and Park et al (2015) studied the use of helical strakes to suppress VIV, whilst Dai et al (2015) opted for the use of time-delay feedback controller. Riser parametric excitation has received plenty of attention; Kuiper et al (2008) and studied single frequency parametric excitation, and Yang et al (2016Yang et al ( , 2013 and Yang and Xiao (2014) studied multi-frequency parametric excitation.…”