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Global load determination of high‑speed wave‑piercing catamarans using finite element method and linear least squares applied to sea trial strain measurements

Citation

Almallah, I and Lavroff, J and Holloway, DS and Shabani, B and Davis, MR, Global load determination of high‑speed wave‑piercing catamarans using finite element method and linear least squares applied to sea trial strain measurements, Journal of Marine Science and Technology pp. 1-13. ISSN 0948-4280 (2019) [Refereed Article]

Copyright Statement

© The Japan Society of Naval Architects and Ocean Engineers (JASNAOE) 2019

DOI: doi:10.1007/s00773-019-00688-3

Abstract

Twin hull high-speed catamarans encounter a wide range of sea wave loads. This paper studies the full-scale prediction of global loads on a high-speed catamaran using linear regression analysis based on finite element results. Load cases based on Det Norske Veritas rules are applied to a finite element model to derive load–strain transformation. Strain responses are evaluated at 16 different locations on the catamaran finite element model corresponding to the strain gauges positioned on the HSV-2 Swift 98m Incat catamaran during sea trials. A transformation matrix is generated using the concept of ordinary least squares, to convert from strain responses to the equivalent DNV global load cases. This is applied to determine global loads during several sea trial runs in different heading angles and speeds of 10, 20 and 35 knots. These loads then are compared to show each global load severity at specific speed or heading angle.

Item Details

Item Type:Refereed Article
Keywords:global loads, catamaran, finite element analysis, least squares
Research Division:Engineering
Research Group:Maritime Engineering
Research Field:Marine Engineering
Objective Division:Transport
Objective Group:Water Transport
Objective Field:Passenger Water Transport
UTAS Author:Almallah, I (Mr Islam Almallah)
UTAS Author:Lavroff, J (Dr Jason Lavroff)
UTAS Author:Holloway, DS (Associate Professor Damien Holloway)
UTAS Author:Shabani, B (Dr Babak Shabani)
UTAS Author:Davis, MR (Professor Michael Davis)
ID Code:135587
Year Published:2019
Deposited By:Engineering
Deposited On:2019-11-04
Last Modified:2020-03-17
Downloads:0

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