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dc.contributor.authorNoorsumar, Gulshan
dc.contributor.authorRogovchenko, Svitlana
dc.contributor.authorRobbersmyr, Kjell Gunnar
dc.contributor.authorVysochinskiy, Dmitry
dc.date.accessioned2022-02-23T13:07:49Z
dc.date.available2022-02-23T13:07:49Z
dc.date.created2022-01-18T15:06:06Z
dc.date.issued2021
dc.identifier.citationNoorsumar, G., Rogovchenko, S., Robbersmyr, K. G. & Vysochinskiy, D. (2021). Mathematical models for assessment of vehicle crashworthiness: a review. International Journal of Crashworthiness, 27(5), 1545-1559.en_US
dc.identifier.issn1754-2111
dc.identifier.urihttps://hdl.handle.net/11250/2981032
dc.description.abstractThis article reviews approaches to mathematical modeling of a vehicle crash. The growing focus on vehicle and occupant safety in car crashes has triggered the need to study vehicle crashworthiness in the initial stages of vehicle development. The major motivation for this work is to support vehicle crashworthiness design during the product development process.The article is divided into two parts; the first one overviews existing mathematical models used to solve engineering problems. The second part describes modeling strategies applied for replicating non-linear vehicle crash event and occupant kinematics in an occupant protection loadcase. We also highlight alternative modeling strategies using hybrid modeling techniques aimed at the improvement of the vehicle development process.
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleMathematical models for assessment of vehicle crashworthiness : a reviewen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 The Author(s)en_US
dc.source.pagenumber1545-1559
dc.source.volume27
dc.source.journalInternational Journal of Crashworthinessen_US
dc.source.issue5
dc.identifier.doihttps://doi.org/10.1080/13588265.2021.1929760
dc.identifier.cristin1983808
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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