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Shock and Vibration - Volume 2017 2017, Article ID 2365812, 12 pages - https:-doi.org-10.1155-2017-2365812

Research Article

Department of Bridge Engineering, Southwest Jiaotong University, Chengdu 610031, China

Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Chengdu 610031, China

Correspondence should be addressed to Bin Wang

Received 17 September 2016; Revised 13 December 2016; Accepted 28 December 2016; Published 29 January 2017

Academic Editor: Sakdirat Kaewunruen

Copyright © 2017 Bin Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


As a vehicle moves on roads, a complex vibration system of the running vehicle is formed under the collective excitations of random crosswinds and road surface roughness, together with the artificial handing by the drivers. Several numerical models in deterministic way to assess the safety of running road vehicles under crosswinds were proposed. Actually, the natural wind is a random process in time domain due to turbulence, and the surface roughness of a road is also a random process but in spatial domain. The nature of a running vehicle therefore is an extension of dynamic reliability excited by random processes. This study tries to explore the dynamic reliability of a road vehicle subjected to turbulent crosswinds. Based on a nonlinear vibration system, the dynamic responses of a road vehicle are simulated to obtain the dynamic reliability. Monte Carlo Simulation with Latin Hypercube Sampling is then applied on the possible random variables including the vehicle weight, road friction coefficient, and driver parameter to look at their effects. Finally, a distribution model of the dynamic reliability and a corresponding index for the wind-induced vehicle accident considering these random processes and variables is proposed and employed to evaluate the safety of the running vehicle.

Autor: Bin Wang, Yongle Li, Helu Yu, and Haili Liao

Fuente: https://www.hindawi.com/


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