eCite Digital Repository

Comparison of experimental and numerical ship wakes using time-frequency analysis

Citation

Buttle, NR and Pethiyagoda, R and Moroney, TJ and Winship, B and MacFarlane, GJ and Binns, JR and McCue, SW, Comparison of experimental and numerical ship wakes using time-frequency analysis, Proceedings of the 22nd Australasian Fluid Mechanics Conference (AFMC2020), 6-10 December 2020, Brisbane, QLD Australia, pp. 1-4. ISBN 9781742723419 (2020) [Refereed Conference Paper]


Preview
PDF
Pending copyright assessment - Request a copy
766Kb
  

DOI: doi:10.14264/uql.2020.260

Abstract

Ships travelling steadily cause three-dimensional V-shaped wave patterns which can be observed far away from the sailing line of the ship. Since it is difficult to accurately measure these waves across large domains, we are exploring the quantity of information that can be gathered from recording the surface elevation at single point in space as the ship travels by. The approach used involves time-frequency analysis with spectrograms. We compare experimental data from ship model basin experiments using aWigley hull with numerical simulations from a thin-ship model and show that only the far-field component of the numerical solution is necessary for generating spectrograms from signals gathered three ship lengths from the sailing line of the ship. This result is useful since it is much easier to simulate the far field from the thin-ship model than the near field. The spectrograms constructed using the thin-ship model and the experimental results are shown to match well.

Item Details

Item Type:Refereed Conference Paper
Keywords:thin-ship theory, time-frequency analysis, ship wakes, wave wake
Research Division:Mathematical Sciences
Research Group:Applied mathematics
Research Field:Theoretical and applied mechanics
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the mathematical sciences
UTAS Author:Winship, B (Mr Brian Winship)
UTAS Author:MacFarlane, GJ (Associate Professor Gregor MacFarlane)
UTAS Author:Binns, JR (Professor Jonathan Binns)
ID Code:145510
Year Published:2020
Funding Support:Australian Research Council (DP180103260)
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2021-07-25
Last Modified:2021-07-26
Downloads:0

Repository Staff Only: item control page