Multiobjective discrete optimization using the TOPSIS and entropy method for protection of pedestrian lower extremity

Lei, F; Lv, X; Fang, J; Sun, G; Li, Q

Multiobjective discrete optimization using the TOPSIS and entropy method for protection of pedestrian lower extremity

Lei, F Lv, X Fang, J

Sun, G Li, Q

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Publisher:: ELSEVIER SCI LTD
Publication Type:: Journal Article
Citation:: Thin-Walled Structures, 2020, 152
Issue Date:: 2020-07-01

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Field	Value	Language
dc.contributor.author	Lei, F
dc.contributor.author	Lv, X
dc.contributor.author	Fang, J https://orcid.org/0000-0003-0119-6108
dc.contributor.author	Sun, G
dc.contributor.author	Li, Q
dc.date.accessioned	2021-03-08T01:39:26Z
dc.date.available	2021-03-08T01:39:26Z
dc.date.issued	2020-07-01
dc.identifier.citation	Thin-Walled Structures, 2020, 152
dc.identifier.issn	0263-8231
dc.identifier.issn	1879-3223
dc.identifier.uri	http://hdl.handle.net/10453/146894
dc.description.abstract	© 2019 Elsevier Ltd Design of vehicle frontal structures signifies an important topic of studies on protection of pedestrian lower extremity. Conventional optimization has been largely focused on continuous variable problems without involving complexity of human model. Nevertheless, design of frontal structures is commonly discrete from a manufacturing perspective and the responses of the lower extremity of pedestrian are highly nonlinear in nature. For this reason, this study aimed to develop a multiobjective discrete optimization (MODO) algorithm for design of frontal structures involving a pedestrian model. In the proposed MODO method, the order preference by similarity to ideal solution (TOPSIS) was coupled with the entropy algorithm to develop a multiple attribute decision making (MADM) model for converting multiple conflicting objectives into a unified single cost function. The presented optimization procedure is iterated using the successive orthogonal experiment to deal with a large number of design variables and design levels. In this study, the proposed method was first verified by two benchmark examples; and then was applied to a more sophisticated real-life design case of vehicle frontal structure to better protect pedestrian lower extremity from impacting injury. The finite element model was validated via experimental tests first and the optimized design was then prototyped for the further physical tests. The results showed that the algorithm is able to achieve an optimal design in a fairly efficient manner. The proposed algorithm exhibits considerable potential to solve other complex engineering design problems.
dc.language	English
dc.publisher	ELSEVIER SCI LTD
dc.relation.ispartof	Thin-Walled Structures
dc.relation.isbasedon	10.1016/j.tws.2019.106349
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0901 Aerospace Engineering, 0905 Civil Engineering, 0913 Mechanical Engineering
dc.subject.classification	Civil Engineering
dc.title	Multiobjective discrete optimization using the TOPSIS and entropy method for protection of pedestrian lower extremity
dc.type	Journal Article
utslib.citation.volume	152
utslib.for	0913 Mechanical Engineering
utslib.for	090507 Transport Engineering
utslib.for	0901 Aerospace Engineering
utslib.for	0905 Civil Engineering
utslib.for	0913 Mechanical Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2021-03-08T01:39:22Z
pubs.publication-status	Published
pubs.volume	152

Abstract:

© 2019 Elsevier Ltd Design of vehicle frontal structures signifies an important topic of studies on protection of pedestrian lower extremity. Conventional optimization has been largely focused on continuous variable problems without involving complexity of human model. Nevertheless, design of frontal structures is commonly discrete from a manufacturing perspective and the responses of the lower extremity of pedestrian are highly nonlinear in nature. For this reason, this study aimed to develop a multiobjective discrete optimization (MODO) algorithm for design of frontal structures involving a pedestrian model. In the proposed MODO method, the order preference by similarity to ideal solution (TOPSIS) was coupled with the entropy algorithm to develop a multiple attribute decision making (MADM) model for converting multiple conflicting objectives into a unified single cost function. The presented optimization procedure is iterated using the successive orthogonal experiment to deal with a large number of design variables and design levels. In this study, the proposed method was first verified by two benchmark examples; and then was applied to a more sophisticated real-life design case of vehicle frontal structure to better protect pedestrian lower extremity from impacting injury. The finite element model was validated via experimental tests first and the optimized design was then prototyped for the further physical tests. The results showed that the algorithm is able to achieve an optimal design in a fairly efficient manner. The proposed algorithm exhibits considerable potential to solve other complex engineering design problems.

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http://hdl.handle.net/10453/146894