Random Vibration of a Road Vehicle

dc.contributor.advisor Yardımoğlu, Bülent
dc.contributor.author Bayrakdar, Özgür
dc.date.accessioned 2014-07-22T13:52:22Z
dc.date.available 2014-07-22T13:52:22Z
dc.date.issued 2010
dc.description Thesis (Master)--Izmir Institute of Technology, Mechanical Engineering, Izmir, 2010 en_US
dc.description Includes bibliographical references (leaves: 32) en_US
dc.description Text in English; Abstract: Turkish and English en_US
dc.description x, 32 leaves en_US
dc.description.abstract In this study, considering four different car models, random vibration characteristics of a road vehicle are investigated by using Mathematica. A road vehicle is modeled as quarter car, half car, and bicycle car. Natural frequencies of each model are found in first step. Then, responses to harmonic and random base excitation for each models are determined. The accuracy of the developed programs for different car models in Mathematica is evaluated by comparing the natural frequencies available in the literature. The effects of modeling approach on natural frequencies and response to harmonic and random base excitation are obtained. The results are presented in graphical and functional forms. en_US
dc.identifier.uri https://hdl.handle.net/11147/3793
dc.language.iso en en_US
dc.publisher Izmir Institute of Technology en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject.lcsh Rondom vibration en
dc.subject.lcsh Mathematica (Computer program language) en
dc.subject.lcsh Vibration--Testing en
dc.title Random Vibration of a Road Vehicle en_US
dc.type Master Thesis en_US
dspace.entity.type Publication
gdc.author.institutional Bayrakdar, Özgür
gdc.coar.access open access
gdc.coar.type text::thesis::master thesis
gdc.description.department Thesis (Master)--İzmir Institute of Technology, Mechanical Engineering en_US
gdc.description.publicationcategory Tez en_US
gdc.description.scopusquality N/A
gdc.description.wosquality N/A
relation.isAuthorOfPublication.latestForDiscovery dd5950a2-25e9-4cf7-ac81-9ea11498d696
relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4022-8abe-a4dfe192da5e

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