On design of multi-cell tubes under axial and oblique impact loads

Fang, J; Gao, Y; Sun, G; Qiu, N; Li, Q

On design of multi-cell tubes under axial and oblique impact loads

Fang, J

Gao, Y Sun, G Qiu, N Li, Q

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Publication Type:: Journal Article
Citation:: Thin-Walled Structures, 2015, 95 pp. 115 - 126
Issue Date:: 2015-07-13

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Field	Value	Language
dc.contributor.author	Fang, J https://orcid.org/0000-0003-0119-6108	en_US
dc.contributor.author	Gao, Y	en_US
dc.contributor.author	Sun, G	en_US
dc.contributor.author	Qiu, N	en_US
dc.contributor.author	Li, Q	en_US
dc.date.issued	2015-07-13	en_US
dc.identifier.citation	Thin-Walled Structures, 2015, 95 pp. 115 - 126	en_US
dc.identifier.issn	0263-8231	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119280
dc.description.abstract	© 2015 Elsevier Ltd. All rights reserved. Multi-cell tubes have been drawn increasing attention for their excellent energy-absorbing ability. However, the effect of cell number and oblique loads on crashing behaviors has seldom been studied to date. In this paper, a group of multi-cell tubes with different cell numbers were comprehensively investigated under both axial and oblique loads. The finite element models were first established and then validated by experimental tests. The simulation results showed that the increase in cell number can be beneficial to the energy absorption (EA) but detrimental due to increase in peak force (F<inf>max</inf>) under axial load. When the oblique loads were taken into account, the tubes could undergo global bending, which is an inefficient deformation mode. By applying complex proportional assessment (COPRAS) method, the 7 × 7 tube was selected as the best based on multi-criteria under multiple loading angles. Then the Kriging modeling technique and multiobjective particle optimization (MOPSO) algorithm were integrated to address the optimization problems, where EA and F<inf>max</inf> were taken as objectives and tube sizes as design variables. The results demonstrated that different loading angles have different requirements on cell allocation and optimizations of multiple load cases (MLC) can yield better solutions in a weighted average fashion, whereas the optimization for separate single load cases (SLC) could result in inferior performance under other load cases.	en_US
dc.relation.ispartof	Thin-Walled Structures	en_US
dc.relation.isbasedon	10.1016/j.tws.2015.07.002	en_US
dc.subject.classification	Civil Engineering	en_US
dc.title	On design of multi-cell tubes under axial and oblique impact loads	en_US
dc.type	Journal Article
utslib.citation.volume	95	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0901 Aerospace 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	95	en_US

Abstract:

© 2015 Elsevier Ltd. All rights reserved. Multi-cell tubes have been drawn increasing attention for their excellent energy-absorbing ability. However, the effect of cell number and oblique loads on crashing behaviors has seldom been studied to date. In this paper, a group of multi-cell tubes with different cell numbers were comprehensively investigated under both axial and oblique loads. The finite element models were first established and then validated by experimental tests. The simulation results showed that the increase in cell number can be beneficial to the energy absorption (EA) but detrimental due to increase in peak force (Fmax) under axial load. When the oblique loads were taken into account, the tubes could undergo global bending, which is an inefficient deformation mode. By applying complex proportional assessment (COPRAS) method, the 7 × 7 tube was selected as the best based on multi-criteria under multiple loading angles. Then the Kriging modeling technique and multiobjective particle optimization (MOPSO) algorithm were integrated to address the optimization problems, where EA and Fmax were taken as objectives and tube sizes as design variables. The results demonstrated that different loading angles have different requirements on cell allocation and optimizations of multiple load cases (MLC) can yield better solutions in a weighted average fashion, whereas the optimization for separate single load cases (SLC) could result in inferior performance under other load cases.

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http://hdl.handle.net/10453/119280