Multi-objective optimisation of hybrid S-shaped rails under oblique impact loading

Tian, L; Gao, Y; Fang, J; An, X

Multi-objective optimisation of hybrid S-shaped rails under oblique impact loading

Tian, L Gao, Y Fang, J

An, X

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Publication Type:: Journal Article
Citation:: International Journal of Heavy Vehicle Systems, 2015, 22 (2), pp. 137 - 156
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Tian, L	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	An, X	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	International Journal of Heavy Vehicle Systems, 2015, 22 (2), pp. 137 - 156	en_US
dc.identifier.issn	1744-232X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119282
dc.description.abstract	Copyright © 2015 Inderscience Enterprises Ltd. This paper aims at optimising the crashworthiness capabilities of hybrid S-shaped rails of an automotive body under oblique impact loading. In the optimisation process, geometrical parameters, material types and the length ratios of aluminium part to the whole length are taken as design variables. Kriging metamodel techniques are performed to predict the crashworthiness criteria of specific energy absorption (SEA) and peak crushing force (PCF). In the following multi-objective optimisation design (MOD), non-dominated sorting genetic algorithm (NSGA-II) is adopted to obtain maximum SEA capacity and minimum PCF of hybrid S-shaped rails. It is found that the optimum design for a specific load angle does not necessarily guarantee the best solution when the load angle changes. More importantly, the change of weighting factor for each load angle affects the Pareto front of such MOD considerably, and thus selecting proper weights is of great importance in the crashworthiness design of hybrid S-shaped rails.	en_US
dc.relation.ispartof	International Journal of Heavy Vehicle Systems	en_US
dc.relation.isbasedon	10.1504/IJHVS.2015.070450	en_US
dc.subject.classification	Automobile Design & Engineering	en_US
dc.title	Multi-objective optimisation of hybrid S-shaped rails under oblique impact loading	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	22	en_US
utslib.for	0902 Automotive 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.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	22	en_US

Abstract:

Copyright © 2015 Inderscience Enterprises Ltd. This paper aims at optimising the crashworthiness capabilities of hybrid S-shaped rails of an automotive body under oblique impact loading. In the optimisation process, geometrical parameters, material types and the length ratios of aluminium part to the whole length are taken as design variables. Kriging metamodel techniques are performed to predict the crashworthiness criteria of specific energy absorption (SEA) and peak crushing force (PCF). In the following multi-objective optimisation design (MOD), non-dominated sorting genetic algorithm (NSGA-II) is adopted to obtain maximum SEA capacity and minimum PCF of hybrid S-shaped rails. It is found that the optimum design for a specific load angle does not necessarily guarantee the best solution when the load angle changes. More importantly, the change of weighting factor for each load angle affects the Pareto front of such MOD considerably, and thus selecting proper weights is of great importance in the crashworthiness design of hybrid S-shaped rails.

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http://hdl.handle.net/10453/119282