Skip to main content
Log in

Numerical study of roughness model effect including low-Reynolds number model and wall function method at actual ship scale

  • Original article
  • Published:
Journal of Marine Science and Technology Aims and scope Submit manuscript

Abstract

A numerical study of roughness effects at an actual ship scale is performed. Low-Reynolds number roughness models based on the two-equation turbulence model are employed, meanwhile, a wall function method is also developed. First, the roughness models are examined for the 2D flat plate case at the Reynolds numbers of \(1.0 \times 10^7\), \(1.0 \times 10^8\) and \(1.0\times 10^9.\) The resistance coefficient increases with roughness height and uncertainty analysis of the resistance coefficient is performed. Additionally, the distributions of the non-dimensional velocities \(u^+\) based on the non-dimensional heights \(y^+\) of the low-Reynolds number models and the wall function method are compared for changing the roughness height. Next, the roughness models and wall function method are applied to the flows around a ship at full scale. The tanker hull form with the flow measurement result from an the actual sea test is selected. The propulsive condition with the free surface effect is achieved by the propeller model. The velocity contours are compared with the measured results of the actual ship. The results of the roughness models show good agreement in comparison with the smooth surface condition. The wall function method leads to reduced grid uncertainty with respect to the resistance coefficient and shows agreement with the measured velocity contours. Consequently, the wall function method is better at full scale.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  1. Kux J, Laudan J (1985) Correlation of wake measurements at model and full scale ship. In: Proceedings of the 15th symposium on naval hydro

  2. Kleinwachter A, Hellwig-Rieck K, Ebert E, Kostbade R, Heinke HJ, Damaschke NA (2015) PIV as a novel full-scale measurement technique in cavitation research. In: Proceedings of 4th international symposium on marine propulsors

  3. Ponkratov D (2016) Proceedings of 2016 workshop on ship scale hydrodynamic computer simulation

  4. Visonneau M, Deng GB, Queutey P (2006) Computation of model and full scale flows around fully-appended ships with an unstructured RANSE solver. In: Proceedings of the 26th symposium on naval hydro

  5. Starke B, Windt J, Raven HC (2006) Validation of viscous flow and wake field predictions for ships at full scale. In: Proceedings of the 26th symposium on naval hydro

  6. Starke B, Drakopulos K, Toxopeus SL, Turnock SR (2017) RANS-based full-scale power predictions for a general cargo vessel, and comparison with sea-trial results. In: Proceedings of international conference on computational methods in marine engineering

  7. Wilcox DC (2006) Turbulence modeling for CFD, 3rd edn. DCW Industries, La Canada

    Google Scholar 

  8. Knopp T, Eisfeld B, Calvo JB (2008) A new extension for \(k- \omega\) models t o account for wall roughness. Int J Heat Fluid Flow. https://doi.org/10.1016/j.ijheatfluidflow.2008.09.009

    Article  Google Scholar 

  9. Apsley D (2007) CFD calculation turbulent flow with arbitrary wall roughness. Flow Turb Combust 78:153–175

    Article  Google Scholar 

  10. Castro AM, Carrica PM, Stern F (2011) Full scale self-propulsion computations using discretized propeller for the KRISO container ship KCS. Comput Fluids 51:35–47. https://doi.org/10.1016/j.compfluid.2011.07.005

    Article  MATH  Google Scholar 

  11. Hellsten A (1997) Some improvements in Menter’s \(k-\omega\) SST AIAA-98-2554

  12. Cebeci T, Bradshow P (1977) Momentum transfer in boundary layers. Series in Thermal and Fluids Engineering. Hemisphere Publishing Corporation, Washington

    Google Scholar 

  13. Xing T, Stern F (2010) Factors of safety for Richardson extrapolation. J Fluids Eng 132:6

    Article  Google Scholar 

  14. (1994) Proceedings of of CFD Workshop Tokyo

  15. Ohashi K, Hino T, Kobayashi H, Onodera N, Sakamoto N (2019) Development of a structured overset Navier–Stokes solver including a moving grid with a full multigrid method. J Mar Sci Tech 24(3):884–901. https://doi.org/10.1007/s00773-018-0594-7

    Article  Google Scholar 

  16. Kobayashi H, Kodama Y (2016) Developing spline based overset grid assembling approach and application to unsteady flow around a moving body. J Math Syst Sci 6:339–347. https://doi.org/10.17265/2159-5291/2016.09.001

    Article  Google Scholar 

  17. Eça L, Hoekstra M (2011) Numerical aspects of including wall roughness effects in the SST \(k-\omega\) eddy-viscosity turbulence model. Comp Fluids 40:299–314

    Article  MathSciNet  Google Scholar 

  18. Mills A, Hang X (1983) On the skin friction coefficient for a fully rough flat plate. Trans ASME J Fluids Eng 105:364–365

    Article  Google Scholar 

  19. ITTC recommended procedures and Guidelines 7.5-02-03-01.4, 1978 ITTC Performance Prediction Method

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kunihide Ohashi.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ohashi, K. Numerical study of roughness model effect including low-Reynolds number model and wall function method at actual ship scale. J Mar Sci Technol 26, 24–36 (2021). https://doi.org/10.1007/s00773-020-00718-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00773-020-00718-5

Keywords

Navigation