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dc.contributor.authorPawlus, Witold
dc.contributor.authorRobbersmyr, Kjell G.
dc.contributor.authorKarimi, Hamid Reza
dc.date.accessioned2012-01-23T12:34:38Z
dc.date.available2012-01-23T12:34:38Z
dc.date.issued2011
dc.identifier.citationPawlus, W., Robbersmyr, K. G., & Karimi, H. R. (2011). Mathematical modeling and parameters estimation of a car crash using data-based regressive model approach. Applied Mathematical Modelling, 35(10), 5091-5107. doi: 10.1016/j.apm.2011.04.024no_NO
dc.identifier.issn0307-904X
dc.identifier.urihttp://hdl.handle.net/11250/136817
dc.descriptionAuthor's version of an article in the journal: Applied Mathematical Modelling. Also available from the publisher at: http://dx.doi.org/10.1016/j.apm.2011.04.024no_NO
dc.description.abstractn this paper we present the application of regressive models to simulation of car-to-pole impacts. Three models were investigated: RARMAX, ARMAX and AR. Their suitability to estimate physical system parameters as well as to reproduce car kinematics was examined. It was found out that they not only estimate the one quantity which was used for their creation (car acceleration) but also describe the car's acceleration, velocity and crush. A virtual experiment was performed to obtain another set of data for use in further research. An AR model to predict the behavior of a low-speed car impacting a rigid barrier was created and verified.no_NO
dc.language.isoengno_NO
dc.publisherElsevierno_NO
dc.subjectregressive models, parameters estimation, viscoelastic modeling, virtual experimentno_NO
dc.titleMathematical modeling and parameters estimation of a car crash using data-based regressive model approachno_NO
dc.typeJournal articleno_NO
dc.typePeer reviewedno_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Mathematics: 410no_NO
dc.subject.nsiVDP::Technology: 500::Mechanical engineering: 570no_NO
dc.source.pagenumber5091-5107no_NO
dc.source.volume35no_NO
dc.source.journalApplied Mathematical Modellingno_NO
dc.source.issue10no_NO


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