Crashworthiness design for foam-filled thin-walled structures with functionally lateral graded thickness sheets

An, X; Gao, Y; Fang, J; Sun, G; Li, Q

Crashworthiness design for foam-filled thin-walled structures with functionally lateral graded thickness sheets

An, X Gao, Y Fang, J

Sun, G Li, Q

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Publication Type:: Journal Article
Citation:: Thin-Walled Structures, 2015, 91 pp. 63 - 71
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	An, X	en_US
dc.contributor.author	Gao, Y	en_US
dc.contributor.author	Fang, J https://orcid.org/0000-0003-0119-6108	en_US
dc.contributor.author	Sun, G	en_US
dc.contributor.author	Li, Q	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	Thin-Walled Structures, 2015, 91 pp. 63 - 71	en_US
dc.identifier.issn	0263-8231	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119285
dc.description.abstract	© 2015 Elsevier Ltd All rights reserved. Crash components in automobiles are probably subjected to multiple loading conditions in real life, such as axial crushing and lateral bending. Unlike most of the existing work that solely focuses on the pure axial crushing or lateral bending, this paper attempts to accommodate both by proposing a novel structure, namely foam-filled thin-wall tube with functionally lateral graded thickness (FLGT). From numerical study of FLGT structures, they are found to exhibit noticeable advantage over the corresponding traditional uniform thickness (UT) structures with the same weight under both axial crushing and lateral bending. Moreover, the gradient governing the varying thickness shows significant influence on the crashworthiness performance of FLGT. To seek for the optimal gradient, a multi-objective optimization is carried out using multi-objective particle swarm optimization (MOPSO) algorithm, where response surface models are established to formulate the objectives functions, i.e. specific energy absorption (SEA) and peak impact force (Fpeak). The optimization results show that the foam-filled structure with FLGT can produce more promising Pareto solutions than traditional UT counterparts. Therefore, the FLGT structure could have potential applications subjected to different loading conditions.	en_US
dc.relation.ispartof	Thin-Walled Structures	en_US
dc.relation.isbasedon	10.1016/j.tws.2015.01.011	en_US
dc.subject.classification	Civil Engineering	en_US
dc.title	Crashworthiness design for foam-filled thin-walled structures with functionally lateral graded thickness sheets	en_US
dc.type	Journal Article
utslib.citation.volume	91	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0902 Automotive Engineering	en_US
utslib.for	0901 Aerospace Engineering	en_US
utslib.for	0905 Civil Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
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
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	91	en_US

Abstract:

© 2015 Elsevier Ltd All rights reserved. Crash components in automobiles are probably subjected to multiple loading conditions in real life, such as axial crushing and lateral bending. Unlike most of the existing work that solely focuses on the pure axial crushing or lateral bending, this paper attempts to accommodate both by proposing a novel structure, namely foam-filled thin-wall tube with functionally lateral graded thickness (FLGT). From numerical study of FLGT structures, they are found to exhibit noticeable advantage over the corresponding traditional uniform thickness (UT) structures with the same weight under both axial crushing and lateral bending. Moreover, the gradient governing the varying thickness shows significant influence on the crashworthiness performance of FLGT. To seek for the optimal gradient, a multi-objective optimization is carried out using multi-objective particle swarm optimization (MOPSO) algorithm, where response surface models are established to formulate the objectives functions, i.e. specific energy absorption (SEA) and peak impact force (Fpeak). The optimization results show that the foam-filled structure with FLGT can produce more promising Pareto solutions than traditional UT counterparts. Therefore, the FLGT structure could have potential applications subjected to different loading conditions.

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http://hdl.handle.net/10453/119285