The University of Southampton
University of Southampton Institutional Repository

Hull form optimisation in waves based on CFD technique

Hull form optimisation in waves based on CFD technique
Hull form optimisation in waves based on CFD technique
The seakeeping behavior of a ship in waves is different from its behavior in calm water. The resistance and seakeeping performance of a ship must be considered in the early-stage design. Therefore, this paper proposes a hull form optimization framework aiming to achieve the minimum total resistance in waves using a computational fluid dynamics (CFD) technique. A sinusoidal wave is adopted to establish the numerical wave tank and the overset mesh technique is used to facilitate the motions of the ships in question. The total resistance of the hull in waves is regarded as the objective function which is calculated using the Reynolds averaged Navier–Stokes (RANS) method. The arbitrary shape deformation (ASD) technique is used to change the geometry. Under displacement and design variables, a hybrid algorithm is developed to evaluate the objective function combining the optimal Latin hypercube design (Opt LHD) and the non-linear programming by quadratic Lagrangian (NLPQL) algorithm. Finally, two examples of hull form optimization are presented and discussed for David Taylor Model Basin (DTMB) model 5512 and WIGLEY III cases. The results show the effectiveness of the optimization framework developed in the present study, which can lay the foundation for further optimization of full-scale ships.
1744-5302
149-164
Zhang, Shenglong
60b44337-e1a3-4bcc-ba72-d9a69739f3e1
Tezdogan, Tahsin
7e7328e2-4185-4052-8e9a-53fd81c98909
Zhang, Baoji
df86802d-153e-4b78-aea3-ab81d6cb3bd0
Xu, Leping
e1bbe4b4-b420-4c86-9d20-ad58dfee93b3
Lai, Yuyang
cb5e4875-bf1f-4277-98a6-b847d6ef792f
Zhang, Shenglong
60b44337-e1a3-4bcc-ba72-d9a69739f3e1
Tezdogan, Tahsin
7e7328e2-4185-4052-8e9a-53fd81c98909
Zhang, Baoji
df86802d-153e-4b78-aea3-ab81d6cb3bd0
Xu, Leping
e1bbe4b4-b420-4c86-9d20-ad58dfee93b3
Lai, Yuyang
cb5e4875-bf1f-4277-98a6-b847d6ef792f

Zhang, Shenglong, Tezdogan, Tahsin, Zhang, Baoji, Xu, Leping and Lai, Yuyang (2018) Hull form optimisation in waves based on CFD technique. Ships and Offshore Structures, 13 (2), 149-164. (doi:10.1080/17445302.2017.1347231).

Record type: Article

Abstract

The seakeeping behavior of a ship in waves is different from its behavior in calm water. The resistance and seakeeping performance of a ship must be considered in the early-stage design. Therefore, this paper proposes a hull form optimization framework aiming to achieve the minimum total resistance in waves using a computational fluid dynamics (CFD) technique. A sinusoidal wave is adopted to establish the numerical wave tank and the overset mesh technique is used to facilitate the motions of the ships in question. The total resistance of the hull in waves is regarded as the objective function which is calculated using the Reynolds averaged Navier–Stokes (RANS) method. The arbitrary shape deformation (ASD) technique is used to change the geometry. Under displacement and design variables, a hybrid algorithm is developed to evaluate the objective function combining the optimal Latin hypercube design (Opt LHD) and the non-linear programming by quadratic Lagrangian (NLPQL) algorithm. Finally, two examples of hull form optimization are presented and discussed for David Taylor Model Basin (DTMB) model 5512 and WIGLEY III cases. The results show the effectiveness of the optimization framework developed in the present study, which can lay the foundation for further optimization of full-scale ships.

This record has no associated files available for download.

More information

Accepted/In Press date: 23 June 2017
Published date: 17 February 2018

Identifiers

Local EPrints ID: 479285
URI: http://eprints.soton.ac.uk/id/eprint/479285
ISSN: 1744-5302
PURE UUID: 9057adfb-bcec-4abf-a6db-c82c979b14ff
ORCID for Tahsin Tezdogan: ORCID iD orcid.org/0000-0002-7032-3038

Catalogue record

Date deposited: 20 Jul 2023 16:52
Last modified: 17 Mar 2024 04:18

Export record

Altmetrics

Contributors

Author: Shenglong Zhang
Author: Tahsin Tezdogan ORCID iD
Author: Baoji Zhang
Author: Leping Xu
Author: Yuyang Lai

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.

×