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URANS prediction of roll damping for a ship hull section at shallow draft

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Abstract

It is analytically difficult to calculate roll damping of ships due to the effects of viscosity. Therefore, computational fluid dynamics (CFD) has become a powerful tool in predicting roll damping recently. The unsteady flow around a forced rolling hull section with bilge keels can be calculated using a commercial URANS code which includes the viscous effects. In this study, two-dimensional (2D) roll damping calculations for a S60 midsection with bilge keels including free surface effects are performed for shallow draft case. The first objective of the study is to show whether the URANS code can be used to predict roll damping coefficient correctly. The second one is to show why Ikeda’s estimation method is insufficient at shallow draft case. Sinusoidal forced roll motion calculation method of roll damping moment with the help of a sliding interface and a fixed roll axis is successfully applied to predict roll damping coefficient. The calculations are carried out for different roll motion periods and amplitudes to validate the accuracy of the URANS code for different cases. Numerical results are compared with experiments, which were carried out at the towing tank facility of Osaka Prefecture University (OPU), and Ikeda’s estimation method. The results show that the URANS code is capable of predicting roll damping coefficients in a good agreement with experimental results and can be used further to develop a better model for prediction of roll damping.

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Authors and Affiliations

  1. Faculty of Naval Architecture and Maritime, Yildiz Technical University, Istanbul, Turkey

    Burak Yıldız, Ferdi Çakıcı & Hüseyin Yılmaz

  2. Graduate School of Engineering, Osaka Prefecture University, Sakai, Japan

    Toru Katayama

Authors
  1. Burak Yıldız
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  2. Ferdi Çakıcı
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  3. Toru Katayama
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  4. Hüseyin Yılmaz
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Correspondence to Burak Yıldız.

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Yıldız, B., Çakıcı, F., Katayama, T. et al. URANS prediction of roll damping for a ship hull section at shallow draft. J Mar Sci Technol 21, 48–56 (2016). https://doi.org/10.1007/s00773-015-0331-4

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  • DOI: https://doi.org/10.1007/s00773-015-0331-4

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