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Risk assessment for crosswind stability of vehicles on exposed sites
Author(s) -
Proppe Carsten,
Zhang Xiaoyu
Publication year - 2014
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201410367
Subject(s) - crosswind , aerodynamics , probabilistic logic , stability (learning theory) , environmental science , wind speed , computer science , process (computing) , engineering , automotive engineering , reliability engineering , meteorology , aerospace engineering , machine learning , physics , artificial intelligence , operating system
The main purpose of this paper is to provide a reliable evaluation for the crosswind stability of different road vehicles in a realistic physical scenario. Unlike existing approaches, we analyze the wind‐vehicle system by probabilistic methods. The aerodynamic coefficients together with the gust parameters are considered as random variables. In addition, on‐site measured wind data are used to calibrate the gust model. As the excitation of the vehicle is a stochastic process, risk analyses have to be carried out and failure probabilities are computed. Based on the failure probabilities, guidelines for speed limitations or traffic restrictions can be developed. (© 2014 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)