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

Gao, W., Zhang, N. and Du, H. P. (2007). A half-car model for dynamic analysis of vehicles with random parameters. In: Veidt, Martin, Albermani, Faris, Daniel, Bill, Griffiths, John, Hargreaves, Doug, McAree, Ross, Meehan, Paul and Tan, Andy, Proceedings of the 5th Australasian Congress on Applied Mechanics (ACAM 2007). 5th Australasian Congress on Applied Mechanics (ACAM 2007), Brisbane, Australia, (595-600). 10-12 December, 2007.

Document type: Conference Paper
Collection: 5th Australasian Congress on Applied Mechanics  
 
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Author(s) Gao, W.
Zhang, N.
Du, H. P.
Title of paper A half-car model for dynamic analysis of vehicles with random parameters
Conference name 5th Australasian Congress on Applied Mechanics (ACAM 2007)
Conference location Brisbane, Australia
Conference dates 10-12 December, 2007
Proceedings title Proceedings of the 5th Australasian Congress on Applied Mechanics (ACAM 2007)
Editor(s) Veidt, Martin
Albermani, Faris
Daniel, Bill
Griffiths, John
Hargreaves, Doug
McAree, Ross
Meehan, Paul
Tan, Andy
Place published Brisbane
Publisher Engineers Australia
Publication date 2007
Year available 2008
Volume number 1
ISBN 0 8582 5862 5
Start page 595
End page 600
Total pages 6
Collection year 2007
Language eng
Abstract/Summary 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 vehicle’s natural frequencies and mean square value of vehicle’s random response are obtained by using the Monte-Carlo simulation method. The influences of the randomness of the vehicle’s parameters on the vehicle’s dynamic characteristic and response are investigated in detail using a practical example.
Subjects 290501 Mechanical Engineering
Keyword(s) stochastic half car model
vehicle
random variables
random response
 
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Created: Thu, 13 Mar 2008, 11:55:19 EST by Laura McTaggart on behalf of School of Engineering. Detailed History