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dc.contributor.authorHesse, SHen_US
dc.contributor.authorLukaszewicz, DHJAen_US
dc.contributor.authorDuddeck, Fen_US
dc.date.accessioned2015-05-26T11:35:56Z
dc.date.available2015-04-20en_US
dc.date.issued2015-10-01en_US
dc.identifier.issn0263-8223en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/7503
dc.description.abstract© 2015 Elsevier Ltd. Composites in automotive structures show great promise to further improve vehicle crashworthiness. However, designing automotive structures for crash with advanced composite materials is challenging. The large amount of design parameters for laminated composites, the complex non-linear material behavior and the discontinuous design space in vehicle design, such for crashworthiness, are the main contributors to this challenge. In this paper, we propose a new design strategy to address this and integrate advanced laminated composite materials in automotive design for crashworthiness. First a computationally efficient physical surrogate is introduced to predict the structural validity of the design options and filter the design space. Secondly a method is introduced which uses Sobol decomposition to derive a design parameter importance hierarchy. Thirdly the physical surrogate is used to derive parameter bounds to increase robustness. A typical S-rail benchmark has been developed to confirm the usefulness of the proposed method. Finally the method provides for a reduced and robust design space which may help to decrease early development time.en_US
dc.format.extent236 - 249en_US
dc.relation.ispartofComposite Structuresen_US
dc.titleA method to reduce design complexity of automotive composite structures with respect to crashworthinessen_US
dc.typeArticle
dc.description.versionPublisher PDF not permitted, item withdrawn
dc.rights.holderhttps://doi.org/10.1016/j.compstruct.2015.02.086
dc.identifier.doi10.1016/j.compstruct.2015.02.086en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume129en_US
dcterms.dateAccepted2015-04-20en_US


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