A half-car model for dynamic analysis of vehicles with random parameters

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dc.contributor.author Gao, Wei en_US
dc.contributor.author Zhang, Nong en_US
dc.contributor.author Du, Haiping en_US
dc.contributor.editor Veidt, Martin; Albermani, Faris; Daniel, Bill; Griffiths, John; Hargreaves, Doug; McAree, Ross; Meehan, Paul; Tan, Andy en_US
dc.date.accessioned 2010-05-28T10:02:18Z
dc.date.available 2010-05-28T10:02:18Z
dc.date.issued 2007 en_US
dc.identifier 2008007400 en_US
dc.identifier.citation Gao Wei, Zhang Nong, and Du Haiping 2007, 'A half-car model for dynamic analysis of vehicles with random parameters', Engineers Australia, Brisbane, Australia, pp. 595-600. en_US
dc.identifier.issn 0 8582 5862 5 en_US
dc.identifier.other E1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/11166
dc.description.abstract A half-car model is used to investigate the dynamic response of cars with uncertainty under random road input excitations in this paper. The mass of the vehicle body, mass moment of inertia of the vehicle body, masses of the front/rear wheels, damping coefficients and spring stiffness of front/rear suspensions, distances of the front/rear suspension locations to the centre of gravity of the vehicle body and the stiffness of front/rear tires are considered as random variables. The road irregularity is considered a Gaussian random process and modeled by means of a simple exponential power spectral density. The mean value and standard deviation of the vehicleA?s natural frequencies and mean square value of vehicleA?s random response are obtained by using the Monte-Carlo simulation method. The influences of the randomness of the vehicleA?s parameters on the vehicleA?s dynamic characteristic and response are investigated in detail using a practical example. en_US
dc.language en_US
dc.publisher Engineers Australia en_US
dc.relation.isbasedon NA en_US
dc.title A half-car model for dynamic analysis of vehicles with random parameters en_US
dc.parent Proceedings of the 5th Australasian Congress on Applied Mechanics (ACAM 2007) en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Brisbane, Australia en_US
dc.identifier.startpage 595 en_US
dc.identifier.endpage 600 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 091000 en_US
dc.personcode 101404 en_US
dc.personcode 950854 en_US
dc.personcode 996919 en_US
dc.percentage 50 en_US
dc.classification.name Manufacturing Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom Australasian Congress on Applied Mechanics en_US
dc.date.activity 20071210 en_US
dc.location.activity Brisbane, Australia en_US
dc.description.keywords stochastic half car model, vehicle, random variables, random response. en_US
dc.staffid en_US
dc.staffid 996919 en_US


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