Power Prediction Modeling of Conventional High-Speed Craft

The proposed book addresses various power prediction methods, a principal design objective for high-speed craft of displacement, semi-displacement, and planing type. At the core of the power prediction methods are mathematical models based on experimental data derived from various high-speed hull an...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Radojčić, Dejan (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Kalajdžić, Milan (http://id.loc.gov/vocabulary/relators/aut), Simić, Aleksandar (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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003 DE-He213
005 20191029143351.0
007 cr nn 008mamaa
008 191029s2019 gw | s |||| 0|eng d
020 |a 9783030306076  |9 978-3-030-30607-6 
024 7 |a 10.1007/978-3-030-30607-6  |2 doi 
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100 1 |a Radojčić, Dejan.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Power Prediction Modeling of Conventional High-Speed Craft  |h [electronic resource] /  |c by Dejan Radojčić, Milan Kalajdžić, Aleksandar Simić. 
250 |a 1st ed. 2019. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2019. 
300 |a XXIII, 252 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Introduction -- Mathematical Modeling -- Resistance and Dynamic Trim Modeling -- Propeller's Open-Water Efficiency Modeling -- Additional Resistance Components and Propulsive Coefficients -- Power Modeling -- Concluding Remarks -- Resistance and Dynamic Trim Predictions -- Propeller's Open-Water Efficiency Prediction -- Power Prediction. 
520 |a The proposed book addresses various power prediction methods, a principal design objective for high-speed craft of displacement, semi-displacement, and planing type. At the core of the power prediction methods are mathematical models based on experimental data derived from various high-speed hull and propeller series. Regression analysis and Artificial Neural Network (ANN) methods are used as extraction tools for this kind of models. The most significant factors for in-service power prediction are bare hull resistance, dynamic trim, and the propeller's open-water efficiency. Therefore, mathematical modeling of these factors is a specific focus of the book. Furthermore, the book includes a summary of most of the power-prediction-relevant literature published in the last 50 years, and as such is intended as a reference overview of the best high-speed craft modeling practices. 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. The proposed book is intended primarily for naval architects who design and develop various types of high-speed vessels (yachts, boats etc.), as well as for students who are interested in the design of fast vessels. The book includes useful Excel Macro Codes for the outlined mathematical models. Moreover, software for all considered models is provided. 
650 0 |a Mathematical models. 
650 0 |a Mechanical engineering. 
650 0 |a Computational intelligence. 
650 1 4 |a Mathematical Modeling and Industrial Mathematics.  |0 http://scigraph.springernature.com/things/product-market-codes/M14068 
650 2 4 |a Mechanical Engineering.  |0 http://scigraph.springernature.com/things/product-market-codes/T17004 
650 2 4 |a Computational Intelligence.  |0 http://scigraph.springernature.com/things/product-market-codes/T11014 
700 1 |a Kalajdžić, Milan.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Simić, Aleksandar.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783030306069 
776 0 8 |i Printed edition:  |z 9783030306083 
776 0 8 |i Printed edition:  |z 9783030306090 
856 4 0 |u https://doi.org/10.1007/978-3-030-30607-6  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)