eCite Digital Repository
Spectrogram analysis of surface elevation signals due to accelerating ships
Citation
Pethiyagoda, R and Moroney, TJ and MacFarlane, GJ and McCue, SW, Spectrogram analysis of surface elevation signals due to accelerating ships, Physical Review Fluids, 6, (10) Article 104803. ISSN 2469-990X (2021) [Refereed Article]
![]() | PDF (Published version) 4Mb |
Copyright Statement
©2021 American Physical Society
DOI: doi:10.1103/PhysRevFluids.6.104803
Abstract
Spectrograms provide an efficient way to analyze surface elevation signals of ship waves taken from a sensor fixed at a single point in space. Recent work based on a simplified model for the ship's disturbance suggests that matching the spectrogram heat-map patterns to a so-called dispersion curve has the potential for estimating of properties of a steadily moving ship, such as the ship's speed and closest distance to the sensor. Here we extend the theory behind the dispersion curve so that it can be applied to ships accelerating along arbitrary paths and demonstrate how acceleration affects the structure of the associated spectrograms. Examples are provided for a simple model of a ship accelerating/decelerating in a straight line or traveling in a circle with constant angular speed. We highlight a problem with nonuniqueness of the dispersion curve when comparing ships moving along different paths. Finally, we validate the new dispersion curve against experimental results of ship models accelerating in a finite depth basin. Our work will provide a basis for more comprehensive studies that extend the simplified model to take into account the shape of the hull in question.
Item Details
Item Type: | Refereed Article |
---|---|
Keywords: | hydrodynamic waves, interfacial flows, surface gravity waves, fluid dynamics |
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: | MacFarlane, GJ (Associate Professor Gregor MacFarlane) |
ID Code: | 147574 |
Year Published: | 2021 |
Funding Support: | Australian Research Council (DP180103260) |
Web of Science® Times Cited: | 2 |
Deposited By: | NC Maritime Engineering and Hydrodynamics |
Deposited On: | 2021-11-08 |
Last Modified: | 2021-12-01 |
Downloads: | 7 View Download Statistics |
Repository Staff Only: item control page