The University of Southampton
University of Southampton Institutional Repository

A numerical investigation of the squat and resistance of ships advancing through a canal using CFD

A numerical investigation of the squat and resistance of ships advancing through a canal using CFD
A numerical investigation of the squat and resistance of ships advancing through a canal using CFD
As a ship approaches shallow water, a number of changes arise owing to the hydrodynamic interaction between the bottom of the ship’s hull and the seafloor. The flow velocity between the bottom of the hull and the seafloor increases, which leads to an increase in sinkage, trim and resistance. As the ship travels forward, squat of the ship may occur, stemming from this increase in sinkage and trim. Knowledge of a ship’s squat is necessary when navigating vessels through shallow water regions, such as rivers, channels and harbours. Accurate prediction of a ship’s squat is therefore essential, to minimize the risk of grounding for ships. Similarly, predicting a ship’s resistance in shallow water is equally important, to be able to calculate its power requirements. The key objective of this study was to perform fully nonlinear unsteady RANS simulations to predict the squat and resistance of a model-scale Duisburg Test Case container ship advancing in a canal. The analyses were carried out in different ship drafts at various speeds, utilizing a commercial CFD software package. The squat results obtained by CFD were then compared with available experimental data.
0948-4280
86–101
Tezdogan, Tahsin
7e7328e2-4185-4052-8e9a-53fd81c98909
Incecik, Atilla
25a12ee2-7ba6-47cf-af5d-a79de4c6a2c4
Turan, Osman
5e66f3ca-4bfa-4a5d-9a35-ba3bdd3b4ee3
Tezdogan, Tahsin
7e7328e2-4185-4052-8e9a-53fd81c98909
Incecik, Atilla
25a12ee2-7ba6-47cf-af5d-a79de4c6a2c4
Turan, Osman
5e66f3ca-4bfa-4a5d-9a35-ba3bdd3b4ee3

Tezdogan, Tahsin, Incecik, Atilla and Turan, Osman (2016) A numerical investigation of the squat and resistance of ships advancing through a canal using CFD. Journal of Marine Science and Technology, 21, 86–101. (doi:10.1007/s00773-015-0334-1).

Record type: Article

Abstract

As a ship approaches shallow water, a number of changes arise owing to the hydrodynamic interaction between the bottom of the ship’s hull and the seafloor. The flow velocity between the bottom of the hull and the seafloor increases, which leads to an increase in sinkage, trim and resistance. As the ship travels forward, squat of the ship may occur, stemming from this increase in sinkage and trim. Knowledge of a ship’s squat is necessary when navigating vessels through shallow water regions, such as rivers, channels and harbours. Accurate prediction of a ship’s squat is therefore essential, to minimize the risk of grounding for ships. Similarly, predicting a ship’s resistance in shallow water is equally important, to be able to calculate its power requirements. The key objective of this study was to perform fully nonlinear unsteady RANS simulations to predict the squat and resistance of a model-scale Duisburg Test Case container ship advancing in a canal. The analyses were carried out in different ship drafts at various speeds, utilizing a commercial CFD software package. The squat results obtained by CFD were then compared with available experimental data.

This record has no associated files available for download.

More information

e-pub ahead of print date: 28 July 2015
Published date: March 2016

Identifiers

Local EPrints ID: 473388
URI: http://eprints.soton.ac.uk/id/eprint/473388
ISSN: 0948-4280
PURE UUID: 387dcaa5-401b-4941-88a8-2dd9334321aa
ORCID for Tahsin Tezdogan: ORCID iD orcid.org/0000-0002-7032-3038

Catalogue record

Date deposited: 17 Jan 2023 17:38
Last modified: 17 Mar 2024 04:18

Export record

Altmetrics

Contributors

Author: Tahsin Tezdogan ORCID iD
Author: Atilla Incecik
Author: Osman Turan

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×