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A hybrid method for predicting ship maneuverability in regular waves
Mei, T.; Liu, Y.; Tello Ruiz, M.Á.; Vantorre, M.; Lataire, E.; Chen, C.; Zou, Z. (2019). A hybrid method for predicting ship maneuverability in regular waves, in: ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering - Volume 7B: Ocean Engineering. pp. 9. https://hdl.handle.net/10.1115/OMAE2019-95249
In: (2019). ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering - Volume 7B: Ocean Engineering. ASME: [s.l.]. ISBN 978-0-7918-5885-1. , more

Keyword
    Marine/Coastal

Authors  Top 
  • Mei, T., more
  • Liu, Y.
  • Tello Ruiz, M.Á., more
  • Vantorre, M., more

Abstract
    The ship's manoeuvring behaviour in waves is significantly different from that in calm water. In this context, the present work uses a hybrid method combining potential flow theory and Computational Fluid Dynamics (CFD) techniques for the prediction of ship manoeuvrability in regular waves. The mean wave-induced drift forces are calculated by adopting a time domain 3D higher-order Rankine panel method, which includes the effect of the lateral speed and forward speed. The hull-related hydrodynamic derivatives are determined based on a RANS solver using the double body flow model. The two-time scale method is applied to integrate the improved seakeeping model in a 3-DOF modular type Manoeuvring Modelling Group (MMG model) to investigate the ship's manoeuvrability in regular waves. Numerical simulations are carried out to predict the turning circle in regular waves for the 5175 container carrier. The turning circle's main characteristics as well as the wave-induced motions are evaluated. A good agreement is obtained by comparing the numerical results with experimental data obtained from existing literature. This demonstrates that combining potential flow theory with CFD techniques can be used efficiently for predicting the manoeuvring behaviour in waves. This is even more true when the manoeuvring derivatives cannot be obtained from model tests when there is lack of such experimental data.

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