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Probabilistic Dynamic Analysis of Vehicle-Bridge Interaction System with Uncertain Parameters

N. Liu,1,W. Gao 1, C.M. Song1, N. Zhang2

School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
School of Electrical, Mechanical and Mechatronic Systems, University of Technology, Sydney, NSW 2007, Australia

Computer Modeling in Engineering & Sciences 2011, 72(2), 79-102. https://doi.org/10.3970/cmes.2011.072.079

Abstract

This paper presents the probabilistic dynamic analysis of vehicle-bridge interaction systems. The bridge's and vehicle's parameters are considered as random variables as well as the road surface roughness is modeled as random process. A two-degree-of-freedom spring-mass system is used to represent a moving vehicle and the bridge is modeled as an Euler-Bernoulli beam. From the equation of motion for the vehicle-bridge coupling system, the expressions for mean value and standard deviation of bridge response are developed by using the random variable's functional moment method. The effects of the individual system parameters and the road surface roughness on the bridge response are investigated. Monte-Carlo simulation method is used to verify the approach presented in this paper. The effectiveness of the proposed method is also demonstrated by numerical examples.

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APA Style
Liu, N., , , Gao, W., Song, C., Zhang, N. (2011). Probabilistic dynamic analysis of vehicle-bridge interaction system with uncertain parameters. Computer Modeling in Engineering & Sciences, 72(2), 79-102. https://doi.org/10.3970/cmes.2011.072.079
Vancouver Style
Liu N, , Gao W, Song C, Zhang N. Probabilistic dynamic analysis of vehicle-bridge interaction system with uncertain parameters. Comput Model Eng Sci. 2011;72(2):79-102 https://doi.org/10.3970/cmes.2011.072.079
IEEE Style
N. Liu, , W. Gao, C. Song, and N. Zhang, “Probabilistic Dynamic Analysis of Vehicle-Bridge Interaction System with Uncertain Parameters,” Comput. Model. Eng. Sci., vol. 72, no. 2, pp. 79-102, 2011. https://doi.org/10.3970/cmes.2011.072.079



cc Copyright © 2011 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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