Reflections on Power Prediction Modeling of Conventional High-Speed Craft

  • Dejan Radojčić

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Dejan Radojčić
    Pages 1-7
  3. Dejan Radojčić
    Pages 9-16
  4. Dejan Radojčić
    Pages 17-49
  5. Dejan Radojčić
    Pages 51-68
  6. Dejan Radojčić
    Pages 79-89
  7. Dejan Radojčić
    Pages 91-93

About this book


This SpringerBrief focuses on modeling and power evaluation of high-speed craft. The various power prediction methods, a principal design objective for high-speed craft of displacement, semi-displacement, and planing type, are addressed. At the core of the power prediction methods are mathematical models for resistance and propulsion efficiency. The models are based on the experimental data of various high-speed hull and propeller series. The regression analysis and artificial neural network (ANN) methods are used as an extraction tool for this kind of mathematical models. A variety of mathematical models of this type are discussed in the book.

Once these mathematical models have been developed and validated, they can be readily programmed into software tools, thereby enabling the parametric analyses required for the optimization of a high-speed craft design. This book provides the foundational reference for these software tools, and their use in the design of high-speed craft. High-speed craft are very different from conventional ships. Current professional literature leaves a gap in the documentation of best design practices for high-speed craft. 

This book is aimed at naval architects who design and develop various types of high-speed vessels.


Planing Craft Semidisplacement Craft Power Prediction High Speed Craft Modelling Techniques Regression Analysis Artificial Neural Network Military Vessels Ship Hydrodynamics Hard-Chine and Round-Bilge Hulls High speed vessels

Authors and affiliations

  • Dejan Radojčić
    • 1
  1. 1.Faculty of Mechanical Engineering, Department of Naval ArchitectureUniversity of BelgradeBelgradeSerbia

Bibliographic information

  • DOI
  • Copyright Information The Author(s), under exclusive licence to Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-94898-0
  • Online ISBN 978-3-319-94899-7
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
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