Advertisement

Introduction

  • Dejan RadojčićEmail author
Chapter
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Abstract

The main goals of this book are to:
  • Review various statistically based Mathematical Models (MM) for power prediction

  • Spotlight some very useful MMs

  • Encourage the HSC designer to use existing MMs.

References

  1. Almeter JM (1993) Resistance prediction of planing hulls: state of the art. Mar Technol 30(4)Google Scholar
  2. Almeter JM (2008) Avoiding common errors in high-speed craft powering predictions. In: 6th International conference on high performance marine vehicles, NaplesGoogle Scholar
  3. Blount DL (1995) Factors influencing the selection of hard chine or round bilge hull for high Froude numbers. In: Proceedings of the 3rd International conference on fast sea transportation (FAST ’95), Lubeck-TravemundeGoogle Scholar
  4. Blount DL (2014) Performance by design. ISBN 0-978-9890837-1-3Google Scholar
  5. Blount DL, Fox DL (1976) Small craft power prediction. Mar Technol 13(1)Google Scholar
  6. Bojović P (1997) Resistance of AMECRC Systematic series of high-speed displacement hull forms. In: High speed marine vehicles conference (HSMV 1997), SorrentoGoogle Scholar
  7. Brizzolara S, Villa D (2010) CFD simulation of planing hulls. In: 7th international conference on high performance marine vehicles, Melbourne FloridaGoogle Scholar
  8. De Luca F, Mancini S, Miranda S, Pensa C (2016) An extended verification and validation study of CFD simulations for planing craft. J Ship Res 60(2)Google Scholar
  9. Fung SC, Leibman L (1993) Statistically-based speed-dependent powering predictions for high-speed transom stern hull forms. Chesapeake Section of SNAMEGoogle Scholar
  10. Garo R, Datla R, Imas L (2012) Numerical simulation of planing hull hydrodynamics. In: SNAME’s 3rd Chesapeake power boat symposium, AnnapolisGoogle Scholar
  11. Heinke HJ, Schulze R, Steinwand M (2009) SVA high speed propeller series. In: Proceedings of 10th International conference on fast sea transportation (FAST 2009), AthensGoogle Scholar
  12. Kapsenberg G (2012) The MARIN systematic series fast displacement hulls. In: 22nd International HISWA symposium on yacht design and yacht construction, AmsterdamGoogle Scholar
  13. MacPherson DM (1993) Reliable Performance Prediction Techniques Using a Personal Computer. Mar TechnolGoogle Scholar
  14. Molland AF, Turnock SR, Hudson DA (2011) Ship resistance and propulsion—practical estimation of ship propulsive power. Cambridge University Press, ISBN 978-0-521-76052-2Google Scholar
  15. Müller-Graf B (1997a) Part I: Rresistance components of high speed small craft. In: 25th WEGEMT school, small craft technology, NTUA, Athens—ISBN Number: I 900 453 053Google Scholar
  16. Müller-Graf B (1997b) Part II: Powering performance prediction of high speed small craft. In: 25th WEGEMT school, small craft technology, NTUA, Athens—ISBN Number: I 900 453 053Google Scholar
  17. Savander BR, Maki KJ, Land J (2010) The effects of deadrise variation on steady planing hull performance. In: SNAME’s 2nd Chesapeake power boat symposium, AnnapolisGoogle Scholar
  18. Savitsky D (1964) Hydrodynamic design of planing hulls. Mar Technol 1(1)Google Scholar
  19. Savitsky D (2012) The Effect of bottom warp on the performance of planing hulls. In: SNAME’s 3rd Chesapeake power boat symposium, AnnapolisGoogle Scholar
  20. Savitsky D (2014) Semi-displacement hulls—a misnomer? In: SNAME’s 4th Chesapeake power boat symposium, AnnapolisGoogle Scholar
  21. Van Hees MT (2017) Statistical and theoretical prediction methods. Encycl Marit Offshore Eng. (Wiley)Google Scholar

Copyright information

© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of Mechanical Engineering, Department of Naval ArchitectureUniversity of BelgradeBelgradeSerbia

Personalised recommendations