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DC poleHodnotaJazyk
dc.contributor.authorKaňáková, Sandra
dc.contributor.authorKottner, Radek
dc.date.accessioned2019-08-26T10:00:11Z-
dc.date.available2019-08-26T10:00:11Z-
dc.date.issued2018
dc.identifier.citationKAŇÁKOVÁ, S., KOTTNER, Identification of material properties of foam used in motorcyclist protective equipment based on obtained experimental data and optimization algorithm. Applied and Computational Mechanics, 2018, roč. 12, č. 2, s. 139-146. ISSN 1802-680X.en
dc.identifier.issn1802-680X
dc.identifier.uri2-s2.0-85067013632
dc.identifier.urihttp://hdl.handle.net/11025/34910
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.rights© University of West Bohemia in Pilsenen
dc.titleIdentification of material properties of foam used in motorcyclist protective equipment based on obtained experimental data and optimization algorithmen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThis article deals with the material parameters identification of foam used in motorcyclist protective equipment, such as a shoulder pad. Experiments,namely a compression,a tension and an impact test were performedto obtain source and target data. The low-density foam material model was selected to characterize the foam. The material model was used in the finite element simulation. The numerical simulation of the impact test was used for an optimization. The parameters of the model were identified using an evolutionary algorithm in the optiSLang 3.0 software. The obtained material model will be used for the simulation of the standard test of protectors consisting of the foam used in motorcyclist protective equipment.en
dc.subject.translatedidentificationen
dc.subject.translatedimpacten
dc.subject.translatedlow-density foamen
dc.subject.translatedmaterial modelen
dc.subject.translatedshoulder paden
dc.identifier.doi10.24132/acm.2018.467
dc.type.statusPeer-revieweden
dc.identifier.obd43924492
dc.project.IDSGS-2016-059/Počítačové modelování a monitorování lidského těla s využitím v lékařstvícs
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