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Fatigue estimation on a high-speed wave piercing catamaran during normal operations

Citation

Warren, M and Ali-Lavroff, J and McVicar, J and Magoga, T and Shabani, B and Holloway, DS and Thomas, G, Fatigue estimation on a high-speed wave piercing catamaran during normal operations, Transactions of the Royal Institution of Naval Architects Part A: International Journal of Maritime Engineering pp. 1-13. ISSN 1479-8751 (2022) [Refereed Article]

Copyright Statement

2022: The Royal Institution of Naval Architects

DOI: doi:10.5750/ijme.v164i1.736

Abstract

The estimation of fatigue life in the design process is particularly important for weight-optimised ships such as high-speed aluminium craft, but to date no research has been published on the fatigue accumulation on large wave-piercing catamarans, focusing on long-term operations. This paper assesses the applicability of classification society rules for high-speed catamarans with respect to fatigue design. This was achieved by comparing the long-term distributions of stress, measured on a 111m long wave-piercing catamaran ferry whilst operating in the Canary Islands and during the delivery voyage, with load spectra estimated using a method accepted by the classification society, DNV. The paper also proposes an improved distribution fitment method for fatigue analysis. A detailed method to convert measured stress histories in the time domain into an appropriate stress-spectrum and fitment of Weibull parameters is presented. Results show that the simplified method accepted by the classification society is highly conservative regarding fatigue estimation compared to fatigue results based on measured data. The proposed combined Weibull fitment method substantially improves the accuracy of simplified fatigue analysis methods.

Item Details

Item Type:Refereed Article
Keywords:fatigue, classification society, wave piercing catamaran, Weibull statistics, high-speed
Research Division:Engineering
Research Group:Mechanical engineering
Research Field:Mechanical engineering not elsewhere classified
Objective Division:Transport
Objective Group:Water transport
Objective Field:International passenger water transport (e.g. passenger ships)
UTAS Author:Warren, M (Mr Mark Warren)
UTAS Author:Ali-Lavroff, J (Dr Jason Ali-Lavroff)
UTAS Author:Shabani, B (Dr Babak Shabani)
UTAS Author:Holloway, DS (Associate Professor Damien Holloway)
UTAS Author:Thomas, G (Professor Giles Thomas)
ID Code:151206
Year Published:2022
Funding Support:Australian Research Council (LP170100555)
Deposited By:Engineering
Deposited On:2022-07-25
Last Modified:2022-08-04
Downloads:0

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