Resistance Design Data

Anthony F. Molland; Stephen R. Turnock; Dominic A. Hudson

doi:10.1017/CBO9780511974113.013

10 - Resistance Design Data

Published online by Cambridge University Press: 07 September 2011

Anthony F. Molland ,

Stephen R. Turnock and

Dominic A. Hudson

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Anthony F. Molland: Affiliation:
University of Southampton
Stephen R. Turnock: Affiliation:
University of Southampton
Dominic A. Hudson: Affiliation:
University of Southampton

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Summary

Introduction

Resistance data suitable for power estimates may be obtained from a number of sources. If model tests are not carried out, the most useful sources are standard series data, whilst regression analysis of model resistance test results provides a good basis for preliminary power estimates. Numerical methods can provide useful inputs for specific investigations of hull form changes and this is discussed in Chapter 9. Methods of presenting resistance data are described in Section 3.1.3. This chapter reviews sources of resistance data. Design charts or tabulations of data for a number of the standard series, together with coefficients of regression analyses, are included in Appendix A3.

Standard series data result from systematic resistance tests that have been carried out on particular series of hull forms. Such tests entail the systematic variation of the main hull form parameters such as CB, L/∇1/3, B/T and LCB. Standard series tests provide an invaluable source of resistance data for use in the power estimate, in particular, for use at the early design stage and/or when model tank tests have not been carried out. The data may typically be used for the following:

Deriving power requirements for a given hull form,
Selecting suitable hull forms for a particular task, including the investigation of the influence of changes in hull parameters such as CB and B/T, and as
A standard for judging the quality of a particular (non-series) hull form.

Type: Chapter
Information: Ship Resistance and Propulsion
Practical Estimation of Propulsive Power
, pp. 188 - 245

DOI: https://doi.org/10.1017/CBO9780511974113.013 [Opens in a new window]

Publisher: Cambridge University Press

First published in: 2011

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