Uncertainty Analysis of Ship Powering Prediction Methods: A sensitivity study using Monte Carlo Simulation followed by an analysis of a geo-sim series of podded propulsors - Couverture souple

Molloy, Sue

 
9783838381794: Uncertainty Analysis of Ship Powering Prediction Methods: A sensitivity study using Monte Carlo Simulation followed by an analysis of a geo-sim series of podded propulsors
Couverture souple
ISBN 10 : 3838381793 ISBN 13 : 9783838381794
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

Model towing tank testing is used to predict the powering required for full-scale vessels. Uncertainty analysis has up to this point focused on potential errors in the model data from the tests performed. The overall sensitivity of predicted power from this and other prediction methods to variations in inputs from the model tests and from elements such as the frictional resistance coefficient or correlation allowance needs to be determined. Rather than setting up a series of data reduction equations, a Monte Carlo simulation was used and the entire method was used as the data reduction equation in the uncertainty analysis. Several different extrapolation methods were studied to assess variation in powering prediction methods resulting from variation in input data and from the variation of the details of the extrapolation. Methods of reducing the uncertainty in the predicted power from the ITTC 1978 method were proposed. An analysis of model testing work on a geometrically similar series of podded propulsors follows the powering prediction work.

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Présentation de l'éditeur

Model towing tank testing is used to predict the powering required for full-scale vessels. Uncertainty analysis has up to this point focused on potential errors in the model data from the tests performed. The overall sensitivity of predicted power from this and other prediction methods to variations in inputs from the model tests and from elements such as the frictional resistance coefficient or correlation allowance needs to be determined. Rather than setting up a series of data reduction equations, a Monte Carlo simulation was used and the entire method was used as the data reduction equation in the uncertainty analysis. Several different extrapolation methods were studied to assess variation in powering prediction methods resulting from variation in input data and from the variation of the details of the extrapolation. Methods of reducing the uncertainty in the predicted power from the ITTC 1978 method were proposed. An analysis of model testing work on a geometrically similar series of podded propulsors follows the powering prediction work.

Biographie de l'auteur

Dr. Sue Molloy consults on Ocean Engineering projects specialising in Marine Renewable Energy, Marine Powering and Propulsion and sustainable and environmental ocean engineering solutions. Sue is an executive with the Engineering Committee on Oceanic Resources, ECOR [oceanicresources.org] and is chair of the ECOR marine renewable energy panel.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3838381793
ISBN 13 
9783838381794
Reliure
Broché
Nombre de pages
160
Coordonnées du fabricant
non disponible
Personne responsable
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