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From the Back Cover
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.
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Product details
Series: SpringerBriefs in Applied Sciences and Technology
Paperback: 120 pages
Publisher: Springer; 1st ed. 2019 edition (August 25, 2018)
Language: English
ISBN-10: 9783319948980
ISBN-13: 978-3319948980
ASIN: 3319948989
Product Dimensions:
6.1 x 0.3 x 9.2 inches
Shipping Weight: 8.6 ounces (View shipping rates and policies)
Average Customer Review:
5.0 out of 5 stars
1 customer review
Amazon Best Sellers Rank:
#868,271 in Books (See Top 100 in Books)
This book is about evolution of mathematical models to predict calm water resistance, trim and propeller characteristics for high-performance marine vessels. Author Dr. Dejan Radojcic has compiled in one place both a summary of the state of mathematical models and a guide for the future. His concise overview of methods of many authors detail the development of modeling over time leading to artificial neural networks (ANN) providing very good results to accurately replicate experimental model test data of resistance and trim for high-speed vessels.Dr. Radojcic makes recommendations of mathematical models for making predictions of resistance and trim, propeller characteristics and propulsive components for design of craft operating at high Froude numbers. Naval architects involved with high-speed vessel hydrodynamics will find his book to be an indispensable tool for identifying references needed to bring their library up to the current state of technology.Donald L. Blount
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