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dc.contributor.authorNoorsumar, Gulshan
dc.contributor.authorRogovchenko, Svitlana
dc.contributor.authorRobbersmyr, Kjell Gunnar
dc.contributor.authorVysochinskiy, Dmitry
dc.contributor.authorKlausen, Andreas
dc.date.accessioned2023-03-07T12:25:59Z
dc.date.available2023-03-07T12:25:59Z
dc.date.created2022-01-18T15:44:05Z
dc.date.issued2021
dc.identifier.citationNoorsumar, G., Rogovchenko, S., Robbersmyr, K. G., Vysochinskiy, D. & Klausen, A. (2021). A Novel Technique for Modeling Vehicle Crash using Lumped Parameter Models. In G. Wagner, F. Werner, T. Ören & F. De Rango (Eds.), Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (p. 62-70). SciTePress.en_US
dc.identifier.isbn978-989-758-528-9
dc.identifier.issn2184-2841
dc.identifier.urihttps://hdl.handle.net/11250/3056437
dc.description.abstractThis paper presents a novel technique for modeling a full frontal vehicle crash. The crash event is divided into two phases; the first until maximum crush and the second part when the vehicle starts pitching forward. This novel technique will help develop a three degrees of freedom (DOF) lumped parameter model (LPM) for crash and support in the vehicle development process. The paper also highlights the design process for reducing vehicle pitching in occupant protection load cases. The model has been validated against a finite element (FE) simulation of a full frontal crash of a Chevrolet Silverado developed by the National Highway Traffic Safety Administration (NHTSA), and the LPM shows good correlation with the FE test data.en_US
dc.language.isoengen_US
dc.publisherSciTePressen_US
dc.relation.ispartof11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleA Novel Technique for Modeling Vehicle Crash using Lumped Parameter Modelsen_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 SciTePressen_US
dc.subject.nsiVDP::Teknologi: 500::Maskinfag: 570en_US
dc.source.pagenumber62-70en_US
dc.identifier.doihttp://doi.org/10.5220/0010529200620070
dc.identifier.cristin1983879
dc.relation.projectUniversity of Agder: 2520898en_US
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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