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A study on multi-objective optimal design of derrick structure

A study on multi-objective optimal design of derrick structure
A study on multi-objective optimal design of derrick structure
Engineering system problems consist of multi-objective optimisation and the performance analysis is generally time consuming. To optimise the system concerning its performance, many researchers perform the optimisation using an approximation model. The Response Surface Method (RSM) is usually used to predict the system performance in many research fields, but it shows prediction errors for highly nonlinear problems. To create an appropriate metamodel for marine systems, Lee (2015) compares the prediction accuracy of the approximation model, and multi-objective optimal design framework is proposed based on a confirmed approximation model. The proposed framework is composed of three parts: definition of geometry, generation of approximation model, and optimisation.

The major objective of this paper is to confirm the applicability/usability of the proposed optimal design framework and evaluate the prediction accuracy based on sensitivity analysis. We have evaluated the proposed framework applicability in derrick structure optimisation considering its structural performance.

multi-objective, objective design framework, Sensitivity Analysis, BPNN, NRSM, derrick structure
2092-6782
661-669
Lee, Jae-Chul
b4bcc4b6-5b1a-4484-9abe-6250510def0f
Jeong, Ji-Ho
cb97410e-de10-45a6-ba1f-5d01984044bf
Wilson, Philip A.
8307fa11-5d5e-47f6-9961-9d43767afa00
Lee, Jong-Hyun
fe972d9e-50cb-44bb-aedd-53fdc7fb7b42
Shin, Sung-Chul
d804c732-cbc4-406e-b956-8ccf41905e6b
Lee, Soon-Sup
48e1af9f-61c2-4f1e-81e4-f853e9642965
Lee, Jae-Chul
b4bcc4b6-5b1a-4484-9abe-6250510def0f
Jeong, Ji-Ho
cb97410e-de10-45a6-ba1f-5d01984044bf
Wilson, Philip A.
8307fa11-5d5e-47f6-9961-9d43767afa00
Lee, Jong-Hyun
fe972d9e-50cb-44bb-aedd-53fdc7fb7b42
Shin, Sung-Chul
d804c732-cbc4-406e-b956-8ccf41905e6b
Lee, Soon-Sup
48e1af9f-61c2-4f1e-81e4-f853e9642965

Lee, Jae-Chul, Jeong, Ji-Ho, Wilson, Philip A., Lee, Jong-Hyun, Shin, Sung-Chul and Lee, Soon-Sup (2017) A study on multi-objective optimal design of derrick structure. International Journal of Naval Architecture and Ocean Engineering, 10 (6), 661-669. (doi:10.1016/j.ijnaoe.2017.09.011).

Record type: Article

Abstract

Engineering system problems consist of multi-objective optimisation and the performance analysis is generally time consuming. To optimise the system concerning its performance, many researchers perform the optimisation using an approximation model. The Response Surface Method (RSM) is usually used to predict the system performance in many research fields, but it shows prediction errors for highly nonlinear problems. To create an appropriate metamodel for marine systems, Lee (2015) compares the prediction accuracy of the approximation model, and multi-objective optimal design framework is proposed based on a confirmed approximation model. The proposed framework is composed of three parts: definition of geometry, generation of approximation model, and optimisation.

The major objective of this paper is to confirm the applicability/usability of the proposed optimal design framework and evaluate the prediction accuracy based on sensitivity analysis. We have evaluated the proposed framework applicability in derrick structure optimisation considering its structural performance.

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More information

Submitted date: 9 January 2017
Accepted/In Press date: 5 September 2017
e-pub ahead of print date: 7 December 2017
Additional Information: Written in the main when Sun-chul Shin was on sabbatical leave in Southampton
Keywords: multi-objective, objective design framework, Sensitivity Analysis, BPNN, NRSM, derrick structure
Organisations: Fluid Structure Interactions Group

Identifiers

Local EPrints ID: 402818
URI: http://eprints.soton.ac.uk/id/eprint/402818
ISSN: 2092-6782
PURE UUID: b92ad000-7682-430e-9cf3-68b67724b82d
ORCID for Philip A. Wilson: ORCID iD orcid.org/0000-0002-6939-682X

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Date deposited: 16 Nov 2016 14:19
Last modified: 07 Oct 2020 02:45

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