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Abstract

The performance prediction models are typically composed of modules (subroutines) for the calculation of bare hull resistance, appendage resistance, propeller characteristics, etc., which are derived individually and may be used independently of each other. For conventional ships the Holtrop and Mennen method (Holtrop and Mennen 1982) applicable to a wide variety of ship types is still in use despite its age, and is typically included in multiple software packages. Adequate MMs for HSC do not really exist, probably due to the unique nature of HSC, operating in displacement, semi-displacement, and often planing regimes, as discussed in Sect. 1.2. Specifically, with increasing speed HSC change both the displacement and trim, which is not the case with conventional (displacement) ships. Therefore, in order to model the HSC’s operating conditions and power requirement, equations of equilibrium must be formed.

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Notes

  1. 1.

    Note that Savitsky and Brown (1976) treats hull hydrodynamics only, and is an extension to prismatic hull method approach. That is, propulsion is not discussed, and hence, strictly speaking, this work doesn’t belong in the “Power prediction” category.

  2. 2.

    This method allows recalculation of the commonly available data for axial water inflow to those that correspond to oblique inflow conditions (i.e. propeller on inclined shaft). In essence, water inflow velocity is assumed to be \({\text{v}}_{\text{OBLOUE}} = {\text{v}}_{\text{AXIAL}} \cdot{ \cos }(\uppsi +\uptau)\) and the propeller’s inclined shaft unsteady (oscillatory) forces are averaged across one revolution.

  3. 3.

    Couser et al. (1997) paper entitled “Calm water powering predictions for high speed catamarans”, actually treats various resistance components, extrapolation methods for catamarans etc., not powering as designated here.

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Correspondence to Dejan Radojčić .

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Radojčić, D. (2019). Power Prediction. In: Reflections on Power Prediction Modeling of Conventional High-Speed Craft. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-94899-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-94899-7_6

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