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Slam and wave load response reconstruction in high speed catamarans using transmissibility on full scale sea trials


Gebrezgabir, S and Holloway, DS and Ali-Lavroff, J, Slam and wave load response reconstruction in high speed catamarans using transmissibility on full scale sea trials, Ocean Engineering: An International Journal of Research and Development, 271 Article 113822. ISSN 0029-8018 (2023) [Refereed Article]

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DOI: doi:10.1016/j.oceaneng.2023.113822


In-service measurement of slam and wave load responses provide valuable information in the structural design and weight optimisation of high-speed catamarans. However, a limited number of measurements may be possible due to cost, and data may sometimes be lost or noise contaminated. This paper uses the transmissibility concept to reconstruct a set of unknown responses using a different set of known responses. Transmissibility functions and a transmissibility matrix based on linear response theory are derived from less than 12% of available data. The method is applied to full scale sea trials data on a 98 m high speed catamaran HSV 2 Swift, on which strain, acceleration, and angular velocity were measured. Responses are reconstructed for different vessel headings (head, port bow and starboard seas), speeds (1535 knots), and sea states. The transmissibility matrix is tested on data from unseen sea states. Excellent agreement is achieved, particularly for larger loading events that would be of interest to structural designers. The study demonstrates the possibility to significantly reduce or build redundancy into the instrumentation.

Item Details

Item Type:Refereed Article
Keywords:Response reconstruction Transmissibility Slam and wave load High speed catamaran
Research Division:Engineering
Research Group:Mechanical engineering
Research Field:Mechanical engineering asset management
Objective Division:Transport
Objective Group:Water transport
Objective Field:Domestic passenger water transport (e.g. ferries)
UTAS Author:Gebrezgabir, S (Mr Sebhatleb Gebrezgabir)
UTAS Author:Holloway, DS (Associate Professor Damien Holloway)
UTAS Author:Ali-Lavroff, J (Dr Jason Ali-Lavroff)
ID Code:155661
Year Published:2023
Deposited By:Engineering
Deposited On:2023-03-03
Last Modified:2023-03-03

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