Design of bionic-bamboo thin-walled structures for energy absorption

Fu, J; Liu, Q; Liufu, K; Deng, Y; Fang, J; Li, Q

Design of bionic-bamboo thin-walled structures for energy absorption

Fu, J Liu, Q Liufu, K Deng, Y Fang, J

Li, Q

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Publication Type:: Journal Article
Citation:: Thin-Walled Structures, 2019, 135 pp. 400 - 413
Issue Date:: 2019-02-01

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Field	Value	Language
dc.contributor.author	Fu, J	en_US
dc.contributor.author	Liu, Q	en_US
dc.contributor.author	Liufu, K	en_US
dc.contributor.author	Deng, Y	en_US
dc.contributor.author	Fang, J https://orcid.org/0000-0003-0119-6108	en_US
dc.contributor.author	Li, Q	en_US
dc.date.issued	2019-02-01	en_US
dc.identifier.citation	Thin-Walled Structures, 2019, 135 pp. 400 - 413	en_US
dc.identifier.issn	0263-8231	en_US
dc.identifier.uri	http://hdl.handle.net/10453/135073
dc.description.abstract	© 2018 Elsevier Ltd Bio-inspired engineering design has drawn considerable attention in the recent years for its great structural and mechanical features. This study aimed to explore the energy absorption characteristics of a novel bionic-bamboo tube (BBT) structure subjected to axial crushing. The tubes with six different cross-sectional configurations were devised with inspiration of bamboo microstructure. The effects of rib shape and rib number were analyzed by using the finite element code LS-DYNA. The numerical results indicated that the BBT structures with the rib shape of “X” and the rib number of six exhibited the best crashworthiness. To further improve the energy absorption capabilities of these BBT structures, the multiobjective optimization was employed with respect to design variables of configurational structure, such as the rib angle of the “X” shaped cross-section, center distance and rib thickness. The response surface method (RSM) and multiobjective particle swarm optimization (MOPSO) algorithm were adopted to maximize specific energy absorption (SEA) while minimizing peak crushing force (PCF). The optimization results demonstrated that compared to the baseline design, the SEA value of the optimized BBT structure was further increased by 6.84% without sacrificing in peak crushing force.	en_US
dc.relation.ispartof	Thin-Walled Structures	en_US
dc.relation.isbasedon	10.1016/j.tws.2018.10.003	en_US
dc.subject.classification	Civil Engineering	en_US
dc.title	Design of bionic-bamboo thin-walled structures for energy absorption	en_US
dc.type	Journal Article
utslib.citation.volume	135	en_US
utslib.for	0912 Materials Engineering	en_US
utslib.for	0901 Aerospace Engineering	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	0913 Mechanical 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	135	en_US

Abstract:

© 2018 Elsevier Ltd Bio-inspired engineering design has drawn considerable attention in the recent years for its great structural and mechanical features. This study aimed to explore the energy absorption characteristics of a novel bionic-bamboo tube (BBT) structure subjected to axial crushing. The tubes with six different cross-sectional configurations were devised with inspiration of bamboo microstructure. The effects of rib shape and rib number were analyzed by using the finite element code LS-DYNA. The numerical results indicated that the BBT structures with the rib shape of “X” and the rib number of six exhibited the best crashworthiness. To further improve the energy absorption capabilities of these BBT structures, the multiobjective optimization was employed with respect to design variables of configurational structure, such as the rib angle of the “X” shaped cross-section, center distance and rib thickness. The response surface method (RSM) and multiobjective particle swarm optimization (MOPSO) algorithm were adopted to maximize specific energy absorption (SEA) while minimizing peak crushing force (PCF). The optimization results demonstrated that compared to the baseline design, the SEA value of the optimized BBT structure was further increased by 6.84% without sacrificing in peak crushing force.

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http://hdl.handle.net/10453/135073