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Establishment of effective metamodels for seakeeping performance in multidisciplinary ship design optimation

Establishment of effective metamodels for seakeeping performance in multidisciplinary ship design optimation
Establishment of effective metamodels for seakeeping performance in multidisciplinary ship design optimation
Ship design is a complex multidisciplinary optimization process to determine configuration variables that satisfy a set of mission requirements. Unfortunately, high fidelity commercial software for the ship performance estimation such as Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) are computationally expensive and time consuming to execute and deter the ship designer’s ability to explore larger range of optimization solutions. In this paper, the Latin Hypercube Design was used to select the sample data for covering the design space. A comprehensive seakeeping evaluation index, The percentage of downtime, a comprehensive seakeeping evaluation index, was also used to evaluate the seakeeping performance within the short-term and long-term wave distribution in the Multidisciplinary Design Optimization (MDO) process. The five motions of ship seakeeping performance contained roll, pitch, yaw, sway and heave. Particularly, a new effective approximation modelling technique—Single-Parameter Lagrangian support vector regression ?SPL-SVR? was investigated to construct ship seakeeping metamodels to facilitate the application of MDO. By considering the effects of two ship speeds, the established metamedels of ship seakeeping performance for the short-term percentage downtime are satisfactory for seakeeping predictions during the conceptual design stage; thus, the new approximation algorithm provides an optimal and cost-effective solution for constructing the metamodels using the MDO process.
0948-4280
233-243
Li, D.
eaa10cac-8eee-4069-a3e4-649088cf9a16
Wilson, P.A.
8307fa11-5d5e-47f6-9961-9d43767afa00
Zhao, X.
c32d0dd5-3ac6-4c9c-b41e-95baa08c7472
Li, D.
eaa10cac-8eee-4069-a3e4-649088cf9a16
Wilson, P.A.
8307fa11-5d5e-47f6-9961-9d43767afa00
Zhao, X.
c32d0dd5-3ac6-4c9c-b41e-95baa08c7472

Li, D., Wilson, P.A. and Zhao, X. (2016) Establishment of effective metamodels for seakeeping performance in multidisciplinary ship design optimation. Journal of Marine Science and Technology, 24 (2), 233-243. (doi:10.6119/JMST-015-1007-1).

Record type: Article

Abstract

Ship design is a complex multidisciplinary optimization process to determine configuration variables that satisfy a set of mission requirements. Unfortunately, high fidelity commercial software for the ship performance estimation such as Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) are computationally expensive and time consuming to execute and deter the ship designer’s ability to explore larger range of optimization solutions. In this paper, the Latin Hypercube Design was used to select the sample data for covering the design space. A comprehensive seakeeping evaluation index, The percentage of downtime, a comprehensive seakeeping evaluation index, was also used to evaluate the seakeeping performance within the short-term and long-term wave distribution in the Multidisciplinary Design Optimization (MDO) process. The five motions of ship seakeeping performance contained roll, pitch, yaw, sway and heave. Particularly, a new effective approximation modelling technique—Single-Parameter Lagrangian support vector regression ?SPL-SVR? was investigated to construct ship seakeeping metamodels to facilitate the application of MDO. By considering the effects of two ship speeds, the established metamedels of ship seakeeping performance for the short-term percentage downtime are satisfactory for seakeeping predictions during the conceptual design stage; thus, the new approximation algorithm provides an optimal and cost-effective solution for constructing the metamodels using the MDO process.

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More information

Submitted date: 18 April 2014
Accepted/In Press date: 7 October 2015
Published date: 14 October 2016
Organisations: Fluid Structure Interactions Group

Identifiers

Local EPrints ID: 382693
URI: http://eprints.soton.ac.uk/id/eprint/382693
ISSN: 0948-4280
PURE UUID: 3e91c0e3-0aa9-431f-b144-a25c55aabfe3
ORCID for P.A. Wilson: ORCID iD orcid.org/0000-0002-6939-682X

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Date deposited: 02 Nov 2015 16:41
Last modified: 09 Jan 2022 02:34

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Contributors

Author: D. Li
Author: P.A. Wilson ORCID iD
Author: X. Zhao

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